2021
“HoloAR: On-the-fly Optimization of 3D Holographic Processing for Augmented Reality“, Conference- MICRO, 19-Oct-2021
Authors: Shulin Zhao (Penn State), Haibo Zhang (Penn State), Cyan Mishra (Penn State), Sandeepa Bhuyan (Penn State), Ziyu Ying (Penn State), Mahmut Kandemir (Penn State), Anand Sivasubramaniam (Penn State), Chita Das (Penn State)
“Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing“, Conference- PACT, 18-Oct-2021
Authors: Minxuan Zhou (UC/San Diego), Lingxi Wu (Univ. of Virginia), Niema Moshiri (UC/San Diego), Muzhou Li (UC/San Diego), Kevin Skadron (Univ. of Virginia), Tajana S. Rosing (UC/San Diego)
“PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations“, Conference- PACT, 18-Oct-2021
Authors: Minxuan Zhou (UC/San Diego), Guoyang Chen (Alibaba Group), Mohsen Imani (UC/Irvine), Saransh Gupta (UC/San Diego), Weifeng Zhang (Alibaba Group), Tajana S. Rosing (UC/San Diego)
“Thermal Simulation of Processing-in-Memory Devices using HotSpot 7.0“, Conference- 27th International Workshop Thermal Investigations of ICS and Systems, 23-Sep-2021
Authors: Jun-han Han (Univ. of Virginia), Robert E. West (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Ayudante: A Deep Reinforcement Learning Approach to Assist Persistent Memory Programming“, Conference- ATC 2021, 20-Sep-2021
Authors: Hanxian Huang (UC/San Diego), Zixuan Wang (UC/San Diego), Juno Kim (UC/San Diego), Steven Swanson (UC/San Diego), Jishen Zhao (UC/San Diego)
“Mirage: A Highly Paralleled and Flexible RRAM Accelerator“, Conference- ISLPED, 10-Sep-2021
Authors: Xiao Liu (UC/San Diego), Minxuan Zhou (UC/San Diego), Rachata Ausavarungnirun (Carnegie Mellon Univ.), Sean Eilert (Micron), Ameen Akel (Micron), Tajana S. Rosing (UC/San Diego), Vijaykrishnan Narayanan (Penn State), Jishen Zhao (UC/San Diego)
“NASCENT2: Generic Near-storage Sort Accelerator for Data Analytics on SmartSSD“, Journal- Transactions on Reconfigurable Technology and Systems, 10-Sep-2021
Authors: Sahand Salamat (UC/San Diego), Hui Zhang (Samsung), Yang Seok Ki (Samsung), Tajana S. Rosing (UC/San Diego)
“Theoretical Foundations of Hyperdimensional Computing“, Journal- Journal of Artificial Intelligence Research, 23-Aug-2021
Authors: Anthony H. Thomas (UC/San Diego), Sanjoy Dasgupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“MIRAGE: Mitigating Conflict-Based Cache Attacks with a Practical Fully-Associative Design“, Conference- USENIX Security 2021, 20-Aug-2021
Authors: Gururaj Saileshwar (Georgia Tech), Moinuddin Qureshi (Georgia Tech)
“STAR: Sparse Transformer-based Action Recognition“, Conference- ACM MM 2021, 1-Aug-2021
Authors: Chonghan Lee (Penn State), Tianyi Shen (Penn State), Narayan Vijay (Penn State), Feng Shi (UCLA), Liang Qiu (UCLA), Yizhou Zhao (UCLA), Shivran Muralidhar (Penn State), Tian Han (Stevens IT), Song-Chun Zhu (UCLA)
“GORDON: Benchmarking Optane DC Persistent Memory Modules on FPGAs“, Conference- IEEE International Symposium on Field-Programmable Custom Computing Machines, 1-Aug-2021
Authors: Jialiang Zhang (Univ. of Pennsylvania), Nicholas Beckwith (Univ. of Pennsylvania), Jing Li (Univ. of Pennsylvania)
“MAT: Processing In-Memory Acceleration for Long-Sequence Attention“, Conference- DAC, 30-Jul-2021
Authors: Minxuan Zhou (UC/San Diego), Yunhui Guo (UC/San Diego), Weihong Xu (UC/San Diego), Bin Li (U of Wisconsin/Madison), Kevin Eliceiri (U of Wisconsin/Madison), Tajana S. Rosing (UC/San Diego)
“CiM3D: Comparator-in-Memory Designs using Monolithic 3D Technology for Accelerating Data-Intensive Applications“, 30-Jul-2021
Authors: Akshay Krishna Ramanathan (Penn State), Srivatsa Rangachar srinivasa (Intel), Hariram Thirucherai Govindarajan (Penn State), John Sampson (Penn State), Meng-Fan Chang (TSMC), Vijaykrishnan Narayanan (Penn State)
“Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars“, Journal- IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25-Jul-2021
Authors: Nicholas Jao (Penn State), Akshay Krishna Ramanathan (Penn State), John Sampson (Penn State), Narayan Vijay (Penn State)
“Accelerating Analytical Data Processing with Associative Computing“, Conference- VLDB, 15-Jul-2021
Authors: Ioannis Chronis (U of Wisconsin/Madison), Helena Caminal (Cornell), Jignesh Patel (U of Wisconsin/Madison), Jose Martinez (Cornell)
“PMNet: In-Network Data Persistence“, Conference- ISCA 2021, 9-Jul-2021
Authors: Korakit Seemakhupt (Univ. of Virginia), Sihang Liu (Univ. of Virginia), Yasas Senevirathne (Univ. of Virginia), Muhammad Shahbaz (Perdue University), Samira Khan (Univ. of Virginia)
“ATCPiM: Analog to Time Coded Processing inMemory for IoT at the Edge“, Conference- IEEE 7th World Forum on Internet of Things, 30-Jun-2021
Authors: Mohammad Nazmus Sakib (Univ. of Virginia), Rahul Sreekumar (Univ. of Virginia), Vaibhav Verma (Univ. of Virginia), Tommy J. Tracy (Univ. of Virginia), Stan Mircea (Univ. of Virginia)
“Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning“, Conference- Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 21-Jun-2021
Authors: Bin Li (U of Wisconsin/Madison), Kevin Eliceiri (U of Wisconsin/Madison), Yin Li (U of Wisconsin/Madison)
“BigMap: Future-proofing Fuzzers with Efficient Large Maps“, Conference- International Conference on Dependable Systems and Networks, 21-Jun-2021
Authors: Alif Ahmed (Univ. of Virginia), Jason D. Hiser (Univ. of Virginia), Anh Nguyen Tuong (Univ. of Virginia), Jack W. Davidson (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“Reticle: A Virtual Machine for Programming Modern FPGAs“, Conference- PLDI 2021, 20-Jun-2021
Authors: Luis Vega (Univ. of Washington), Joseph McMahan (Univ. of Washington), Adrian Sampson (Cornell), Daniel J. Grossman (Univ. of Washington), Luis H. Ceze (Univ. of Washington)
“Sieve: Scalable In-situ DRAM-based Accelerator Designs for Massively Parallel k-mer Matching“, Conference- ISCA 2021, 14-Jun-2021
Authors: Lingxi Wu (Univ. of Virginia), Rasool Sharifi (Univ. of Virginia), Marzieh Lenjani (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Ashish Venkat (Univ. of Virginia)
“Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators“, Conference- ISCA 2021, 22-May-2021
Authors: Keni Qiu (Capital Normal University), Nicholas Jao (Penn State), Kunyu Zhou (Penn State), Yongpan Liu (Tsinghua University), John Sampson (Penn State), Mahmut Taylan Kandemir (Penn State), Narayan Vijay (Penn State)
“Design Space for Scaling-In General Purpose Computing within the DDR DRAM Hierarchy for Map-Reduce Workloads“, Conference- Computing Frontiers 2021, 13-May-2021
Authors: Siddhartha Balakrishna Rai (Penn State), Anand Sivasubramaniam (Penn State), Adithya Kumar (Penn State), Narayan Vijay (Penn State), Ameen Akel (Micron), Sean Eilert (Micron), Prasanna Venkatesh Rengasamy (Penn State)
“Extending High-Level Synthesis for Task-Parallel Programs“, Conference- 29th IEEE Intl. Symposium on Field-Programmable Custom Computing Machines, 12-May-2021
Authors: Yuze Chi (UCLA), Licheng Guo (UCLA), Jason Lau (UCLA), Young-kyu Choi (UCLA), Jie Wang (UCLA), Jason Cong (UCLA)
“MultiPIM: A Detailed and Configurable Multi-Stack Processing-In-Memory Simulator“, Journal- Computer Architecture Letters (CAL), 11-May-2021
Authors: Chao Yu (Univ. of Virginia), Sihang Liu (Univ. of Virginia), Samira Khan (Univ. of Virginia)
“FANS: FPGA-Accelerated Near-Storage Sorting“, Conference- FCCM 2021, 9-May-2021
Authors: Weikang Qiao (UCLA), Jihun Oh (Samsung Electronics, Hwasung, Korea), Licheng Guo (UCLA), Mau-Chung Frank Chang (UCLA), Jason Cong (UCLA)
“ACTS Of A Graph“, tbd- tbd, 1-May-2021
Authors: Wole Jaiyeoba (Univ. of Virginia), Nima Elyasi (Samsung), Changho Choi (Samsung), Kevin Skadron (Univ. of Virginia)
“FPGA for Aggregate Processing: The Good, The Bad, and The Ugly“, Conference- IEEE International Conference on Data Engineering, 20-Apr-2021
Authors: Jignesh Patel (U of Wisconsin/Madison)
“Thermal Analysis of Microchamber Cooling for Processing-in-Memory Integrated 3D-Memory“, Conference- 22nd EuroSimE conf in Therm, Mech & Multiphysics Simulation and Experiments, 19-Apr-2021
Authors: Jun-han Han (Univ. of Virginia), Karina Torres-Castro (Univ. of Virginia), Robert E. West (Univ. of Virginia), Nathan Swami (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Corundum: Statically-Enforced Persistent Memory Safety“, Conference- ASPLOS'21, 19-Apr-2021
Authors: Morteza Hoseinzadeh (UC/San Diego), Steven Swanson (UC/San Diego)
“*Streamline: A Fast, Flushless Cache Covert-Channel Attack by Enabling Asynchronous Collusion“, Conference- ASPLOS'21, 19-Apr-2021
Authors: Gururaj Saileshwar (Georgia Tech), Moinuddin Qureshi (Georgia Tech), Christopher Fletcher (UIUC)
“*PMFuzz: Test Case Generation for Persistent Memory Programs“, Conference- ASPLOS'21, 19-Apr-2021
Authors: Sihang Liu (Univ. of Virginia), Suyash Mahar (UC/San Diego), Baishakhi Ray (Columbia), Samira Khan (Univ. of Virginia)
“*Dagger: Efficient and Fast RPCs for Cloud Microservices with Near-Memory Reconfigurable NICs“, Conference- ASPLOS'21, 16-Apr-2021
Authors: Nikita Lazarev (Cornell), Shaojie Xiang (Cornell), Neil Adit (Cornell), Christina Delimitrou (Cornell), Zhiru Zhang (Cornell)
“Convolutional Neural Network Based Histopathology Analysis for Prognosis and Grading of Pancreatic Ductal Adenocarcinoma“, Journal- Modern Pathology, 1-Apr-2021
Authors: Adib Keikhosravi (U of Wisconsin/Madison), Bin Li (U of Wisconsin/Madison), Srijyotsna Volety (U of Wisconsin/Madison), Agnes Loeffler (MetroHealth Medical Center), Kevin Eliceiri (U of Wisconsin/Madison)
“*Modeling Microfluidic Cooling with HotSpot“, Conference- GOMACTech, 29-Mar-2021
Authors: Kevin Skadron (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“*Accelerating Snort Regular Expressions on FPGAs with Decomposed Automata“, Conference- GOMACTech, 29-Mar-2021
Authors: Tommy J. Tracy (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“*Clobber-NVM: Log Less, Re-execute More“, Conference- ASPLOS'21, 19-Mar-2021
Authors: Yi Xu (UC/San Diego), Joseph Izraelevitz (Univ. Colorado/Boulder), Steven Swanson (UC/San Diego)
“ML-In-Databases: Assessment and Prognosis“, Journal- IEEE Data Engineering Bulletin, 15-Mar-2021
Authors: Jignesh Patel (U of Wisconsin/Madison)
“NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD“, Conference- International Symposium on Field-Programmable Gate Arrays, 10-Mar-2021
Authors: Sahand Salamat (UC/San Diego), Behnam Khaleghi (UC/San Diego), Joo Hwan Lee (Georgia Tech), Yang Seok Ki (Samsung), Armin Haj Aboutalebi (Samsung), Tajana S. Rosing (UC/San Diego)
“HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing“, Conference- Design, Automation and Test in Europe Conference, 7-Mar-2021
Authors: Minxuan Zhou (UC/San Diego), Muzhou Li (UC/San Diego), Mohsen Imani (UC/Irvine), Tajana S. Rosing (UC/San Diego)
“Power and Thermal Modeling of In-3D-Memory Computing“, Conference- 2021 International Symposium on Devices, Circuits and Systems (ISDCS), 3-Mar-2021
Authors: Jun-han Han (Univ. of Virginia), Robert E. West (Univ. of Virginia), Karina Torres-Castro (Univ. of Virginia), Nathan Swami (Univ. of Virginia), Samira Khan (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“AutoBridge: Coupling Coarse-Grained Floorplanning and Pipelining for High-Frequency HLS Design on Multi-Die FPGAs“, Conference- 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2-Mar-2021
Authors: Licheng Guo (UCLA), Jason Lau (UCLA), Yuze Chi (UCLA), Jie Wang (UCLA), Weikang Qiao (UCLA), Ecenur Ustun (Cornell), Zhiru Zhang (Cornell), Jason Cong (UCLA)
“FPGA Acceleration of Protein Back-Translation and Alignment“, Conference- Design, Automation and Test in Europe Conference, 1-Mar-2021
Authors: Sahand Salamat (UC/San Diego), Jaeyoung Kang (UC/San Diego), Yeseong Kim (UC/San Diego), Mohsen Imani (UC/Irvine), Tajana S. Rosing (UC/San Diego), Niema Moshiri (UC/San Diego)
“DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures“, Conference- ASP-DAC 2021, 25-Feb-2021
Authors: Minxuan Zhou (UC/San Diego), Mohsen Imani (UC/Irvine), Yeseong Kim (DGIST), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Residue-Net: Multiplication-free Neural Network by In-situ No-loss Migration to Residue Number Systems“, Conference- ASP-DAC 2021, 1-Feb-2021
Authors: Sahand Salamat (UC/San Diego), Sumiran Shubhi (UC/San Diego), Behnam Khaleghi (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“*tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications“, Conference- DATE 21, 1-Feb-2021
Authors: Behnam Khaleghi (UC/San Diego), Hanyang Xu (UC/San Diego), Justin Morris (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Revisiting FPGA Routing under Varying Operating Conditions“, Conference- International Conference on Field Programmable Technology, 31-Jan-2021
Authors: Behnam Khaleghi (UC/San Diego), Sahand Salamat (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“HyperRec: Efficient Recommender Systems with Hyperdimensional Computing“, Conference- ASP-DAC 2021, 18-Jan-2021
Authors: Yunhui Guo (UC/San Diego), Mohsen Imani (UC/Irvine), Jaeyoung Kang (UC/San Diego), Sahand Salamat (UC/San Diego), Justin Morris (UC/San Diego), Baris Aksanli (San Diego St), Yeseong Kim (DGIST), Tajana S. Rosing (UC/San Diego)
“Monolithic 3D+-IC Based Massively Parallel CiM Macro for Accelerating Data Intensive Applications“, Conference- IEDM, 2-Jan-2021
Authors: Akshay Krishna Ramanathan (Penn State), Srivatsa Rangachar srinivasa (Intel), Je-Min Hung (Natl Tsing Hua Univ.), Chun-Ying Lee (Natl Tsing Hua Univ.), Cheng-Xin Xue (Natl Tsing Hua Univ.), Sheng-Po Huang (Natl Tsing Hua Univ.), Fu-Kuo Hsueh (Taiwan Semiconductor Research Institute), Chang-Hong Shen (Taiwan Semiconductor Research Institute), Jia-Min Shieh (Taiwan Semiconductor Research Institute), Wen-Kuan Yeh (Taiwan Semiconductor Research Institute), Mon-Shu Ho (National Chung Hsing University), Hariram Thirucherai Govindarajan (Penn State), John Sampson (Penn State), Meng-Fan Chang (TSMC), Vijaykrishnan Narayanan (Penn State)
“Enabling In-SRAM Pattern Processing with Low-Overhead Reporting Architecture“, Journal- Computer Architecture Letters (CAL), 1-Jan-2021
Authors: Elaheh Sadredini (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
2020
“MEG: A RISCV-based System Emulation Infrastructure for Near-data Processing Using FPGAs and High Bandwidth Memory“, Journal- ACM Transactions on Reconfigurable Technology and Systems (TRETS), 31-Dec-2020
Authors: Jing Li (Univ. of Pennsylvania)
“GCN Meets GPU: Decoupling "When to Sample" from "How to Sample"“, Conference- NeurIPS, 7-Dec-2020
Authors: Morteza Ramezani (Penn State), Weilin Cong (Penn State), Mehrdad Mahdavi (Penn State), Anand Sivasubramaniam (Penn State), Mahmut Kandemir (Penn State)
“Deep Graph Similarity Learning with Spectral Support“, Conference- AAAI, 1-Dec-2020
Authors: Feng Shi (UCLA), Song-Chun Zhu (UCLA)
“Transformers Satisfy“, Conference- ICLR 2021, 11-Oct-2020
Authors: Feng Shi (UCLA), Ziheng Xu (UCLA), Song-Chun Zhu (UCLA)
“SuSy: A Programming Model for Productive Construction of High-Performance Systolic Arrays on FPGAs”, Conference- ICCAD November 2020
Authors: Yi-Hsiang Lai (Cornell), Hongbo Rong (Intel), Weihao Zhang (Tsinghua University), Size Zheng (Peking Univ.), Xiuping Cui (Peking Univ.), Yunshan Jia (Peking Univ.), Jie Wang (UCLA), Brendan Sullivan (Cornell), Zhiru Zhang (Cornell), Yun Liang (Peking Univ.), Youhui Zhang (Tsinghua University), Jason Cong (UCLA), Nithin George (Intel), Jose Alvarez (Intel), Christopher J. Hughes (Intel), Pradeep Dubey (Intel)
“FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems”, Conference- Int'l Conf. for High Performance Computing, Networking, Storage, and Analysis, Nov-20
Authors: Yuwei Hu (Cornell), Zihao Ye (AWS), Minjie Wang (AWS), Jiali Yu (AWS), Da Zheng (AWS), Mu Li (AWS), Zheng Zhang (AWS), Zhiru Zhang (Cornell), Yida Wang (AWS)
“MatRaptor: A Sparse-Sparse Matrix Multiplication Accelerator Based on Row-Wise Product”, Conference- International Symposium on Microarchitecture (MICRO), Oct-20
Authors: Zhiru Zhang (Cornell), Nitish Srivastava (Cornell), Hanchen Jin (Cornell), Jie Liu (Cornell), David H. Albonesi (Cornell)
“THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy”, Conference- International Conference On Computer Aided Design (ICCAD), 2020, Nov-20
Authors: Saransh Gupta (UC/San Diego), Justin Morris (UC/San Diego), Mohsen Imani (UC/San Diego), Jeffrey Yu (UC/San Diego), Ranganathan Ramkumar (UC/San Diego), Aniket Tiwari (UC/San Diego), Baris Aksanli (San Diego St), Tajana S. Rosing (UC/San Diego)
“Runtime Verification on FPGAs with LTLf Specifications”, Conference- International Conference on Formal Methods in Computer-Aided Design (FMCAD), Sep-20
Authors: Tommy J. Tracy (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Moshe Y. Vardi (Rice Univ.), Lucas Tabajara (Rice Univ.)
“Characterizing and Modeling Non-Volatile Memory Systems”, Conference- International Symposium on Microarchitecture, Oct-20
Authors: Zixuan Wang (UC/San Diego), Xiao Liu (UC/San Diego), Jian Yang (UC/San Diego), Theodoros Michailidis (UC/San Diego), Steven Swanson (UC/San Diego), Jishen Zhao (UC/San Diego)
“Combinatorial Optimization by Weight Annealing in Memristive Hopfield Networks”, Journal- Scientific Reports, Oct-20
Authors: Mohammad R. Mahmoodi (UC/Santa Barbara), Zahra Fahimi (UC/Santa Barbara), Hussein Nili (UC/Santa Barbara), Valentin Polishchuk (Linkoping Univ.), Dmitri Sturkov (UC/Santa Barbara)
“Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration”, Conference- MICRO 2020, Oct-20
Authors: Akshay Krishna Ramanathan (Penn State), Gurpreet S. Kalsi (Intel Labs), Srivatsa Rangachar srinivasa (Intel), Makesh Tarun Chandran (Penn State), Kamlesh Pillai (Intel), Omer Om J (Intel Labs), Narayan Vijay (Penn State), Sreenivas Subramoney (Intel)
“A Strong Physically Unclonable Function with >280 CRPs and <1.4% BER Using Passive ReRAM Technology”, Journal- IEEE Solid-State Circuits Letters, Oct-20
Authors: Mohammad R. Mahmoodi (UC/Santa Barbara), Zahra Fahimi (UC/Santa Barbara), Shabnam Larimian (UC/Santa Barbara), Hussein Nili (UC/Santa Barbara), Hyungjin Kim (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara)
“Accelerating Emerging Workloads with In-Memory Computing”, Conference- GLSVLSI, Sep-20
Authors: Li Zheyu (Penn State), Nagadastagiri R. Challapalle (Penn State), Akshay Krishna Ramanathan (Penn State), Narayan Vijay (Penn State)
“LastLayer: Towards Hardware and Software Continuous Integration”, Journal- IEEE Micro, Jul-20
Authors: Luis Vega (Univ. of Washington), Jared G. Roesch (Univ. of Washington), Joseph McMahan (Univ. of Washington), Luis H. Ceze (Univ. of Washington)
“Enhancing Model Parallelism in Neural Architecture Search for Multi-device System”, Journal- IEEE Micro Special Issue on ML for Systems, Oct-20
Authors: Cheng Fu (UC/San Diego), Huili Chen (UC/San Diego), Zhenheng Yang (Facebook), Farinaz Koushanfar (UC/San Diego), Yuandong Tian (Facebook), Jishen Zhao (UC/San Diego)
“Optimization of Inter-Cache Traffic Entanglement in Tagless Caches with Tiling Opportunities”, Conference- CASES 2020, Oct-20
Authors: S R Swamy Saranam (IIT Madras), Sumitha George (Penn State), Hariram Thirucherai Govindarajan (Penn State), Jagadish Kotra (AMD), Madhu Mutyam (IIT Madras), John Sampson (Penn State), Mahmut Kandemir (Penn State), Vijaykrishnan Narayanan (Penn State)
“SHEARer: Highly-Effcient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation”, Conference- ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED20), Aug-20
Authors: Behnam Khaleghi (UC/San Diego), Sahand Salamat (UC/San Diego), Anthony H. Thomas (UC/San Diego), Fatemeh Asgarinejad (UC/San Diego), Yeseong Kim (DGIST), Tajana S. Rosing (UC/San Diego)
“Implementing Binary Neural Networks in Memory with Approximate Accumulation”, Conference- International Symposium on Low Power Electronics and Design (ISLPED), 2020, Aug-20
Authors: Saransh Gupta (UC/San Diego), Mohsen Imani (UC/San Diego), Hengyu Zhao (UC/San Diego), Jishen Zhao (UC/San Diego), Tajana S. Rosing (UC/San Diego), Fan Wu (UC/San Diego)
“Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional Computing”, Conference- International Conference of the IEEE Engineering in Medicine and Biology Society, Aug-20
Authors: Fatemeh Asgarinejad (UC/San Diego), Anthony H. Thomas (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Safety Score: A Quantitative Approach to Guiding Safety-Aware Autonomous Vehicle Computing System Design”, Conference- IEEE Intelligent Vehicles Symposium, Oct-20
Authors: Hengyu Zhao (UC/San Diego), Yubo Zhang (Pony.ai), Pingfan Meng (Pony.ai), Hui Shi (UC/San Diego), Tiancheng Lou (Pony.ai), Jishen Zhao (UC/San Diego)
“Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse”, Journal- Transactions on Computers, Jul-20
Authors: Sahand Salamat (UC/San Diego), Tajana S. Rosing (UC/San Diego), Mohsen Imani (UC/San Diego)
“Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency”, Conference- Design Automation Conference 2020, Jul-20
Authors: Licheng Guo (UCLA), Jason Lau (UCLA), Yuze Chi (UCLA), Jie Wang (UCLA), Cody Hao Yu (UCLA), Zhe Chen (UCLA), Zhiru Zhang (Cornell), Jason Cong (UCLA)
“Fibrillar Collagen Quantification with Curvelet Transform Based Computational Methods”, Journal- Frontiers in Bioengineering and Biotechnology, Jun-20
Authors: Yuming Liu (U of Wisconsin/Madison), Adib Keikhosravi (U of Wisconsin/Madison), Carolyn Pehlke (U of Wisconsin/Madison), Jeremy Bredfeldt (U of Wisconsin/Madison), Matthew Dutson (U of Wisconsin/Madison), Haixiang Liu (U of Wisconsin/Madison), Guneet Mehta (U of Wisconsin/Madison), Robert K. Claus (U of Wisconsin/Madison), Akhil Patel (U of Wisconsin/Madison), Matthew Conklin (U of Wisconsin/Madison), David Inman (U of Wisconsin/Madison), Paolo Provenzano (Univ. of Minnesota), Eftychios Sifakis (U of Wisconsin/Madison), Jignesh Patel (U of Wisconsin/Madison), Kevin Eliceiri (U of Wisconsin/Madison)
“Machine Learning Methods for Fluorescence Lifetime Imaging (FLIM) based Label-free Detection of Microglia”, Journal- Frontiers Neuroscience, Jun-20
Authors: Md Abdul Kader Sagar (U of Wisconsin/Madison), Kevin Cheng (U of Wisconsin/Madison), Jonathan Ouellette (U of Wisconsin/Madison), Justin Williams (U of Wisconsin/Madison), Jyoti Watters (U of Wisconsin/Madison), Kevin Eliceiri (U of Wisconsin/Madison)
“Microglia Activation Visualization via Fluorescence Lifetime Imaging Microscopy of Intrinsically Fluorescent Metabolic Cofactors”, Journal- Neurophotonics, Jun-20
Authors: Md Abdul Kader Sagar (U of Wisconsin/Madison), Jonathan Oullette (U of Wisconsin/Madison), Kevin Cheng (U of Wisconsin/Madison), Justin Williams (U of Wisconsin/Madison), Jyoti Watters (U of Wisconsin/Madison), Kevin Eliceiri (U of Wisconsin/Madison)
“Non-disruptive Collagen Characterization in Clinical Histopathology using Cross-modality Image Synthesis”, Journal- Communications Biology, Jun-20
Authors: Adib Keikhosravi (U of Wisconsin/Madison), Bin Li (U of Wisconsin/Madison), Yuming Liu (U of Wisconsin/Madison), Matthew Conklin (U of Wisconsin/Madison), Agnes Loeffler (U of Wisconsin/Madison), Kevin Eliceiri (U of Wisconsin/Madison)
“Single Image Super-resolution for Whole Slide Image using Convolutional Neural Networks and Self-supervised Color Normalization”, Journal- Medical Imaging, Jun-20
Authors: Bin Li (U of Wisconsin/Madison), Adib Keikhosravi (U of Wisconsin/Madison), Agnes Loeffler (MetroHealth), Kevin Eliceiri (U of Wisconsin/Madison)
“Deja View: Spatio-Temporal Compute Reuse for Energy-Efficient 360° VR Video Streaming”, Conference- International Symposium on Computer Architecture, May-20
Authors: Shulin Zhao (Penn State), Haibo Zhang (Penn State), Sandeepa Bhuyan (Penn State), Cyan Mishra (Penn State), Ziyu Ying (Penn State), Mahmut Kandemir (Penn State), Anand Sivasubramaniam (Penn State), Chita Das (Penn State)
“3D-aCortex: An Ultra-Compact Energy Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories”, Journal- IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, May-20
Authors: Mohammad Bavandpour (UC/Santa Barbara), Shubham Sahay (UC/Santa Barbara), Mohammad Reza Mahmoodi (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara)
“aCortex: An Energy-Efficient Multi-Purpose Mixed-Signal Inference Accelerator”, Journal- IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, May-20
Authors: Mohammad Bavandpour (UC/Santa Barbara), Mohammad Reza Mahmoodi (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara)
“Intrinsic Bounds for Computing Precision in Memristor-Based Vector-by-Matrix Multipliers”, Journal- Transactions on Nanotechnology, Jun-20
Authors: Mohammad R. Mahmoodi (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara)
“Comprehensive Compact Phenomenological Modelling of Integrated Metal-Oxide Memristors”, Journal- Transactions on Nanotechnology, Jun-20
Authors: Mohammad R. Mahmoodi (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara), Hussein Nili (UC/Santa Barbara)
“A 2T-1R Cell Array with High Dynamic Range for Mismatch-Robust and Efficient Neurocomputing”, Conference- IEEE International Memory Workshop, May-20
Authors: Shubham Sahay (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara), Mohammad Bavandpour (UC/Santa Barbara), Mohammad Mahnoodi (UC/Santa Barbara)
“Energy-Efficient Moderate Precision Time-Domain Mixed-Signal Vector-by-Matrix Multiplier Exploiting 1T-1R Arrays ”, Conference- IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Apr-20
Authors: Dmitri B. Strukov (UC/Santa Barbara), Mohammad Bavandpour (UC/Santa Barbara), Mohammad Reza Mahmoodi (UC/Santa Barbara), Shubham Sahay (UC/Santa Barbara)
“NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs”, Conference- ISCA 2020, Jun-20
Authors: Sonali Singh (Penn State), Anup Sarma (Penn State), Nicholas Jao (Penn State), Ashutosh Pattnaik (Arm), Sen Lu (Penn State), Kezhou Yang (Penn State), Abhronil Sengupta (Penn State), Narayan Vijay (Penn State), Chita Das (Penn State)
“Prive-HD: Privacy-Preserved Hyperdimensional Computing”, Conference- 57th Design Automation Conference (DAC), Jul-20
Authors: Behnam Khaleghi (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware”, Conference- Design Automation Conference (DAC), 2020, Jul-20
Authors: Hamid Nejatollahi (UC/Irvine), Saransh Gupta (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego), Rosario Cammarota (Intel), Nikil Dutt (UC/Irvine)
“GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding”, Conference- International Conference on Learning Representations (ICLR), Apr-20
Authors: Chenhui Deng (Cornell), Zhiqiang Zhao (Michigan Tech), Yongyu Wang (Michigan Tech), Zhiru Zhang (Cornell), Zhuo Feng (Stevens IT)
“Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations”, Conference- International Conference on Learning Representations (ICLR), Apr-20
Authors: Yichi Zhang (Cornell), Ritchie Zhao (Cornell), Weizhe Hua (Cornell), Nayun Xu (Cornell Tech), Gookwon Edward Suh (Cornell), Zhiru Zhang (Cornell)
“HeteroRefactor: Refactoring for Heterogeneous Computing with FPGA”, Conference- 42nd International Conference on Software Engineering, May-20
Authors: Jason Lau (UCLA), Aishwarya Sivaraman (UCLA), Qian Zhang (UCLA), Muhammad Ali Gulzar (UCLA), Jason Cong (UCLA), Miryung Kim (UCLA)
“Integrated CAM-RAM Functionality using Ferroelectric FETs”, Conference- ISQED, May-20
Authors: Sumitha George (Penn State), Vijaykrishnan Narayanan (Penn State)
“SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing”, Conference- Design, Automation and Test in Europe Conference (DATE) 2020, Mar-20
Authors: Saransh Gupta (UC/San Diego), Mohsen Imani (UC/San Diego), Joonseop Sim (SK hynix), Andrew Huang (UC/San Diego), Fan Wu (UC/San Diego), M Hassan Najafi (U Louisiana/Lafayette), Tajana S. Rosing (UC/San Diego)
“DeepSniffer: a DNN Model Extraction Framework based on Learning Architectural Hints”, Conference- Architectural Support for Programming Languages and Operating Systems (ASPLOS), Mar-20
Authors: Xing Hu (UC/Santa Barbara), Ling Liang (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Lei Deng (UC/Santa Barbara), Pengfei Zuo (UC/Santa Barbara), Xinfeng Xie (UC/Santa Barbara), Yu Ji (UC/Santa Barbara), Yufei Ding (UC/Santa Barbara), Chang Liu (citadel security), Timothy Sherwood (UC/Santa Barbara)
“Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations”, Conference- International Symposium on High-Performance Computer Architecture (HPCA), Apr-20
Authors: Nitish Srivastava (Cornell), Hanchen Jin (Cornell), Shaden Smith (Microsoft), Hongbo Rong (Intel), David H. Albonesi (Cornell), Zhiru Zhang (Cornell)
“Fulcrum: a Simplified Control and Access Mechanism toward Flexible and Practical in-situ Accelerators”, Conference- HPCA 2020, Feb-20
Authors: Marzieh Lenjani (Univ. of Virginia), Luisa P. Gonzalez (Univ. of Virginia), Elaheh Sadredini (Univ. of Virginia), Shuangchen Li (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara), Ameen Akel (Micron), Sean Eilert (Micron), Mircea R. Stan (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“MaxTracker: Tracking the Maximum Computation Progressfor Energy Harvesting ReRAM-based CNN Accelerators”, Conference- Design Automation Conference 2020, Jul-20
Authors: Keni Qiu (Capital Normal University), Nicholas Jao (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State), Mahmut Kandemir (Penn State)
“FlexAmata: A Universal and Efficient Adaption of Applications to Spatial Automata Processing Accelerators”, Conference- ASPLOS 2020, Jan-20
Authors: Elaheh Sadredini (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Marzieh Lenjani (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“PowerPrep: A Power Management Proposal for User-facing Datacenter Workloads”, Conference- DAC2020, Apr-20
Authors: Vineetha Govindaraj (Penn State), Vijaykrishnan Narayanan (Penn State)
“SAGA-Bench: Software and Hardware Characterization of StreAming Graph Analytics Workloads”, Conference- IEEE International Symposium on Performance Analysis of Systems and Software, Apr-20
Authors: Abanti Basak (UC/Santa Barbara), Jilan Lin (UC/Santa Barbara), Ryan Lorica (UC/Santa Barbara), Xinfeng Xie (UC/Santa Barbara), Zeshan A. Chishti (Intel), Alaa Alameldeen (Intel), Yuan Xie (UC/Santa Barbara)
“CAPA: A Content-Addressable Parallel Accelerator”, Conference- Submitted for peer review to ASPLOS 2020, Mar-20
Authors: Helena Caminal (Cornell), Khalid M. Al-Hawaj (Cornell), Kailin Yang (Cornell), Srivatsa Rangachar srinivasa (Penn State), Akshay Krishna Ramanathan (Penn State), Narayan Vijay (Penn State), Christopher Batten (Cornell), Jose Martinez (Cornell)
“GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing”, Conference- DATE 2020, Mar-20
Authors: Yeseong Kim (UC/San Diego), Mohsen Imani (UC/San Diego), Niema Moshiri (UC/San Diego), Tajana S. Rosing (UC/San Diego)
"AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning”, Conference- AAAI 2020, Feb-20
Authors: Yunhui Guo (UC/San Diego), Yandong Li (Central Florida), Liqiang Wang (Central Florida), Tajana S. Rosing (UC/San Diego)
“Data Reuse for Accelerated Approximate Warps”, Journal- IEEE TCAD, Feb-20
Authors: Daniel Peroni (UC/San Diego), Mohsen Imani (UC/San Diego), Hamid Nejatollahi (UC/San Diego), Nikil Dutt (UC/Irvine), Tajana S. Rosing (UC/San Diego)
“ResiRCA: A Resilient Energy Harvesting ReRAM-based Accelerator for Intelligent Embedded Processors”, Conference- IEEE International Symposium on High-Performance Computer Architecture., Feb-20
Authors: Keni Qiu (Capital Normal University), Nicholas Jao (Penn State), Cyan Subhra Mishra (Penn State), Sethu Jose (Penn State), Jack Sampson Sampson (Penn State), Mahmut Taylan Kandemir (Penn State), Vijaykrishnan Narayanan (Penn State)
“Impala: Algorithm/Architecture Co-Design for In-Memory Multi-Stride Pattern Matching”, Conference- International Symposium on High-Performance Computer Architecture (HPCA), Feb-20
Authors: Elaheh Sadredini (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Marzieh Lenjani (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“QuantHD: A Quantization Framework for Hyperdimensional Computing”, Journal- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Feb-20
Authors: Mohsen Imani (UC/San Diego), Samuel Bosch (EPFL), Sohum Datta (UC/Berkeley), Sharadhi Ramakrishna (UC/San Diego), Sahand Salamat (UC/San Diego), Jan Rabaey (UC/Berkeley), Tajana S. Rosing (UC/San Diego)
“SearcHD: A Memory-Centric Hyperdimensional Computing with Stochastic Training”, Journal- IEEE Transactions on Computer-Aided Design (TCAD), Jan-20
Authors: Mohsen Imani (UC/San Diego), Xunzhao Yin (Univ. of Notre Dame), John Messerly (UC/San Diego), Saransh Gupta (UC/San Diego), Michael T. Niemier (Univ. of Notre Dame), Xiaobo Sharon Hu (Univ. of Notre Dame), Tajana S. Rosing (UC/San Diego)
“Power Profiling of Modern Die-Stacked Memory”, Journal- IEEE computer architecture letters, Jan-20
Authors: Dylan Stow (UC/Santa Barbara), Amin Farahani (AMD), Sudhanva Gurumurthi (AMD), Michael Ignatowski (AMD), Yuan Xie (UC/Santa Barbara)
“Cross-Failure Bug Detection in Persistent Memory Programs”, Conference- ASPLOS 2020, Jan-20
Authors: Sihang Liu (Univ. of Virginia), Korakit Seemakhupt (Univ. of Virginia), Yizhou Wei (Univ. of Virginia), Thomas Wenisch (Univ. of Michigan), Aasheesh Kolli (Penn State), Samira Khan (Univ. of Virginia)
2019
“Super-resolution Recurrent Convolutional Neural Networks for Learning with Multi-resolution Whole Slide Images”, Journal- Journal of Biomedical Optics, Dec-19
Authors: Lopamudra Mukherjee (University of Wisconsin-Whitewater), Huu Dat (University of Wisconsin-Whitewater), Adib Keikhosravi (U of Wisconsin/Madison), Agnes Loeffler (Metrohealth), Kevin Eliceiri (U of Wisconsin/Madison)
“Intensity-based Registration of Bright-field and Second-harmonic Generation Images of Histopathology Tissue Sections”, Journal- Biomedical Optics Express, Dec-19
Authors: Adib Keikhosravi (U of Wisconsin/Madison), Bin Li (U of Wisconsin/Madison), Kevin Eliceiri (U of Wisconsin/Madison), Yuming Liu (U of Wisconsin/Madison)
“Coda: An End-to-End Neural Program Decompiler”, Conference- NeurIPS, Dec-19
Authors: Cheng Fu (UC/San Diego), Huili Chen (UC/San Diego), Xingyun Chen (UC/Berkeley), Yuandong Tian (Facebook), Fairnaz Koushanfar (UC/San Diego), Jishen Zhao (UC/San Diego)
“Channel Gating Neural Networks”, Conference- 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec-19
Authors: Weizhe Hua (Cornell), Yuan Zhou (Cornell), Christopher De Sa (Cornell), Zhiru Zhang (Cornell), G. Edward Suh (Cornell)
“Precision Gating: Dynamically Quantizing Activations in Neural Networks”, Conference- NeurIPS 2019, Dec-19
Authors: Yichi Zhang (Cornell), Ritchie Zhao (Cornell), Nayun Xu (Cornell), Zhiru Zhang (Cornell)
“A Hardware Generator for Optimal and Tunable AES”, Conference- International Conference on Reconfigurable Computing and FPGAs (ReConFig 2019), Dec-19
Authors: Sergiu Mosanu (Univ. of Virginia), Xinfei Guo (Univ. of Virginia), Mohamed Aly (Cal Poly), Lorena Anghel (Grenoble Institute of Engineering), Kevin Skadron (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Vignette: Perceptual Compression for Video Storage and Processing Systems”, Conference- SoCC 2019, Nov-19
Authors: Amrita Mazumdar (Univ. of Washington), Brandon Haynes (Univ. of Washington), Luis H. Ceze (Univ. of Washington), Mark Oskin (Univ. of Washington), Magdalena Balazinska (Univ. of Washington), Alvin Cheung (Univ. of Washington)
“Tuning Applications for Efficient GPU Offloading to In-Memory Processing”, Conference- The 26th IEEE International Symposium on High-Performance Computer Architecture, Nov-19
Authors: Yudong Wu (UC/San Diego), Mingyao Shen (UC/San Diego), Yi Hui Chen (UC/San Diego), Yuanyuan Zhou (UC/San Diego)
“An Overflow-free Quantized Memory Hierarchy in General-purpose Processors”, Conference- IISWC-2019, IISWC 2019, Nov-19
Authors: Marzieh Lenjani (Univ. of Virginia), Luisa P. Gonzalez (Univ. of Virginia), Elaheh Sadredini (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia), M Arif I. Rahman (Univ. of Virginia)
“Persistent Memory Workload Characterization: A Hardware Perspective”, Conference- 2019 IEEE International Symposium on Workload Characterization, Nov-19
Authors: Xiao Liu (UC/San Diego), Bhaskar Jupudi (Cohesity Inc), Pankaj Mehra (Samsung), Jishen Zhao (UC/San Diego)
“Workload-Aware Opportunistic Energy Efficiency in Multi-FPGAPlatforms”, Conference- International Conference on Computer-Aided Design , Nov-19
Authors: Sahand Salamat (UC/San Diego), Behnam Khaleghi (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Computing-in-Memory using Monolithic 3D IC Technology”, Journal- IEEE Micro Special Issue on Monolithic 3D Architectures, Nov-19
Authors: Zhixiao Zhang (Natl Tsing Hua Univ.), Xin Si (Natl Tsing Hua Univ.), Srivatsa Rangachar srinivasa (Penn State), Akshay Krishna Ramanathan (Penn State)
“Distilling the Essence of Raw Video to Reduce Memory Usage and Energy at Edge Devices”, Conference- IEEE International Symposium on Microarchitecture, Oct-19
Authors: Haibo Zhang (Penn State), Shulin Zhao (Penn State), Ashutosh Pattnaik (Penn State), Mahmut Kandemir (Penn State), Anand Sivasubramaniam (Penn State), Chita Das (Penn State)
“Binary Star: Coordinated Reliability in Heterogeneous Memory Systems for High Performance and Scalability”, Conference- MICRO conference, Oct-19
Authors: Xiao Liu (UC/San Diego), David Roberts (none), Rachata Ausavarungnirun (KMUTNB), Onur Mutlu (ETHZ), Jishen Zhao (UC/San Diego)
“MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm”, Conference- 52nd IEEE/ACM International Symposium on Microarchitecture, Oct-19
Authors: Wenqin Huangfu (UC/Santa Barbara), Xueqi Li (UC/Santa Barbara), Xing Hu (UC/Santa Barbara), Peng Gu (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara)
“SuperMem: Enabling Application-transparent Secure Persistent Memory with Low Overheads”, Conference- 52nd IEEE/ACM International Symposium on Microarchitecture, Oct-19
Authors: Pengfei Zuo (UC/Santa Barbara), Yu Hua (Huazhong University of Science and Technology), Yuan Xie (UC/Santa Barbara)
“SSP: Eliminating Redundant Writes in Failure-Atomic NVRAMs via Shadow Sub-Paging”, Conference- MICRO, Oct-19
Authors: Jishen Zhao (UC/San Diego), Yuanjiang Ni (UC/Santa Cruz), Heiner Litz (UC/Santa Cruz), Daniel Bitman (UC/Santa Cruz), Ethan Miller (UC/Santa Cruz)
“eAP: A Scalable and Efficient In-Memory Accelerator for Automata Processing”, Conference- MICRO-52, 19-Oct
Authors: Elaheh Sadredini (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Vaibhav Verma (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“A Survey of Accelerator Architectures for Deep Neural Networks”, Journal- Chinese Academy of Engineering and Higher Education Press, Oct-19
Authors: Yiran Chen (Duke), Yuan Xie (Penn State), Linghao Song (Duke), Fan Chen (Purdue), Tianqi Tang (UC/Santa Barbara)
“Accelerating Design Convergence of Automata Processing Designs with a Tiled Hierarchy”, Conference- FPGAs for Software Programmers (FSP 2019), Sep-19
Authors: Tommy Tracy II (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia), Jack Wadden (Univ. of Michigan), Ted Xie (Google), Kevin Skadron (Univ. of Virginia)
“INFaaS: A Model-less Inference Serving System”, arXiv article- https://arxiv.org/abs/1905.13348, Sep-19
Authors: Christoforos Kozyrakis (Stanford), Francisco Romero (Stanford), Qian Li (Stanford), Neeraja Yadwadkar (Stanford)
“Hopscotch: A Micro-benchmark Suite for Memory Performance Evaluation”, Conference- Memsys 2019, Sep-19
Authors: Alif Ahmed (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“4K-Memristor Analog-Grade Passive Crossbar Circuit”, Journal- Nature Electronics, Sep-19
Authors: H Kim (UC/Santa Barbara), Hussein Nili (UC/Santa Barbara), Mohammad R. Mahmoodi (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara
“Thermal-Aware Design and Management for Search-based In-Memory Acceleration”, Conference- TECHCON 2019, Sep-19
Authors: Minxuan Zhou (UC/San Diego), Mohsen Imani (UC/San Diego), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“A Scalable and Efficient in-Memory Interconnect Architecture for Automata Processing”, Conference- TECHCON 2019, Sep-19
Authors: Elaheh Sadredini (Univ. of Virginia), Vaibhav Verma (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“Excavating Hidden Parallelism for Hyperdimensional Computing”, Conference- TECHCON 2019, Sep-19
Authors: Joonseop Sim (UC/San Diego), Mohsen Imani (UC/San Diego), Yeseong Kim (UC/San Diego), Tajana S. Rosing (UC/San Diego), Saransh Gupta (UC/San Diego)
“Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads”, Conference- Conference, Aug-19
Authors: Nicholas Jao (Penn State), Akshay Krishna Ramanathan (Penn State), Minhwan Kim (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“INSIDER: Designing In-Storage Computing System for Emerging High-Performance Drive”, Conference- Conference, Aug-19
Authors: Jason Cong (UCLA), Tong He (UCLA)
“HR3AM: A Heat Resilient Design for RRAM based Neuromorphic Computing”, Conference- Conference, Aug-19
Authors: Xiao Liu (UC/San Diego), Mingxuan Zhou (UC/San Diego), Tajana S. Rosing (UC/San Diego), Jishen Zhao (UC/San Diego)
“HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing”, Conference- The International Symposium on Low Power Electronics and Design (ISLPED), 2019., Aug-19
Authors: Xiao Liu (UC/San Diego), Minxuan Zhou (UC/San Diego), Tajana S. Rosing (UC/San Diego), Jishen Zhao (UC/San Diego)
“Analyzing and Modeling In-Storage Computing Workloads On EISC ? An FPGA-Based System-Level Emulation Platform”, Conference- Conference, Aug-19
Authors: Zhenyuan Ruan (UCLA), Tong He (UCLA), Jason Cong (UCLA)
“A New Frontier for Pull-Based Graph Processing”, Conference- PPoPP'20, Aug-19
Authors: Sammuel Grossman (Stanford), Christoforos Kozyrakis (Stanford)
“Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs”, Journal- IEEE Design and Test, Aug-19
Authors: Xueqing Li (Penn State)
“Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads”, Conference- Qingdao, China, Jul-19
Authors: Nicolas Jao (Penn State), Srivatsa Srinivasa (Penn State), Akshay Krishna Ramanathan (Penn State), Minhwan Kim (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“SAFE: Peripheral Design To Support Parallel Computations in FeFET-based Memories”, Conference- Qingdao, China, Jul-19
Authors: Nicolas Jao (Penn State), Akshay Krishna Ramanathan (Penn State), Minhwan Kim (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“INSIDER: Redesign Storage System for Emerging High-Performance Drive”, Conference- 2019 USENIX Annual Technical Conference, Jul-19
Authors: Zhenyuan Ruan (UCLA), Tong He (UCLA), Jason Cong (UCLA)
“MIST: A Reconfigurable STT-RAM Design Featuring Energy-Efficient Compute In-Memory Functions ”, Conference- Miami, FL, Jul-19
Authors: Nicolas Jao (Penn State), Minhwan Kim (Penn State), Vijaykrishnan Narayanan (Penn State), Abhronil Sengupta (Penn State), John Sampson (Penn State)
“Improving Noise Tolerance of Mixed-Signal Neural Networks”, Conference- IJCNN 2019, Jul-19
Authors: Michael Klachko (UC/Santa Barbara), Mohammad R. Mahmoodi (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara)
“ SpotTune: Transfer Learning through Adaptive Fine-tuning”, Conference- CVPR 2019, CVPR 2019, Jul-19
Authors: Yunhui Guo (UC/San Diego), Honghui Shi (IBM), Abhishek Kumar (IBM), Kristen Grauman (UT/Austin), Tajana S. Rosing (UC/San Diego), Rogerio Feris (IBM)
“A Framework for Collaborative Learning in Secure High-Dimensional Space”, Conference- IEEE international conference on cloud computing (CLOUD), 2019, Jul-19
Authors: Mohsen Imani (UC/San Diego), Yeseong Kim (UC/San Diego), Mohammad Sadegh Riazi (UC/San Diego), John Messerly (UC/San Diego), Patric Liu (UC/San Diego), Farinaz Koushanfar (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs”, Journal- Computer Architecture Letter, Jul-19
Authors: Xinfeng Xie (UC/Santa Barbara), Xing Hu (UC/Santa Barbara), Peng Gu (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Yu Ji (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara)
“Opportunistic Computing in GPU Architectures”, Conference- The 46th International Symposium on Computer Architecture, Jun-19
Authors: Ashutosh Pattnaik (Penn State), Xulong Tang (Penn State), Adwait Jog (William & Mary), Onur Kayiran (Penn State), Asit K. Mishra (Intel), Mahmut Kandemir (Penn State), Anand Sivasubramaniam (Penn State), Chita Das (Penn State)
“ARGA: Approximate Reuse for GPGPU Acceleration”, Conference- IEEE/ACM Design Automation Conference (DAC), Jun-19
Authors: Daniel Peroni (UC/San Diego), Mohsen Imani (UC/San Diego), Nikil Dutt (UC/Irvine), Hamid Nejatollahi (UC/Irvine), Tajana S. Rosing (UC/San Diego)
“Improving Neural Network Quantization without Retraining using Outlier Channel Splitting”, Conference- International Conference on Machine Learning (ICML), Jun-19
Authors: Ritchie Zhao (Cornell), Yuwei Hu (Cornell), Jordan Dotzel (Cornell), Christopher M. De Sa (Stanford), Zhiru Zhang (Cornell)
“CompHD: Efficient Hyperdimensional Computing Using Model Compression”, Conference- ISLPED 2019, Jun-19
Authors: Tajana S. Rosing (UC/San Diego)
“Thermal-Aware Design and Management for Search-based In-Memory Acceleration”, Conference- IEEE/ACM Design Automation Conference (DAC), Jun-19
Authors: Minxuan Zhou (UC/San Diego), Mohsen Imani (UC/San Diego), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control”, Conference- IEEE/ACM Design Automation Conference (DAC), Jun-19
Authors: Mohsen Imani (UC/San Diego), Alice Sokolova (UC/San Diego), Ricardo Garcia (UC/San Diego), Andrew Huang (UC/San Diego), Fan Wu (UC/San Diego), Baris Aksanli (San Diego St), Tajana S. Rosing (UC/San Diego)
“BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing”, Conference- IEEE/ACM Design Automation Conference (DAC), Jun-19
Authors: Mohsen Imani (UC/San Diego), Justin Morris (UC/San Diego), John Messerly (UC/San Diego), Helen Shu (UC/San Diego), Yaobang Deng (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Monolithic 3D+-IC based Reconfigurable Compute-in-Memory SRAM Macro”, Conference- 2019 Symposia on VLSI Technology and Circuits, Jun-19
Authors: Srivatsa Rangachar srinivasa (Penn State), Yung-Ning Tu (2National Tsing Hua University, Hsinchu, Taiwan), Mon-Shu Ho (National Chung Hsing University, Taiwan), John Sampson (Penn State), Meng-Fan Chang (Natl Tsing Hua Univ.), Vijaykrishnan Narayanan (Penn State)
“Memory-Bound Proof-of-Work Acceleration for Blockchain Applications”, Conference- Design Automation Conference, Jun-19
Authors: Kun Wu (University of California, Sanata Barbara), Guohao Dai (Tsinghua University), Xing Hu (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Xinfeng Xie (UC/Santa Barbara), Yu Wang (Tsinghua University), Yuan Xie (UC/Santa Barbara)
“FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, Conference- International Symposium on Computer Architecture (ISCA), Jun-19
Authors: Mohsen Imani (UC/San Diego), Saransh Gupta (UC/San Diego), Yeseong Kim (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Janus: Optimizing Memory and Storage Support for Non-Volatile Memory Systems”, Conference- International Symposium on Computer Architecture (ISCA), May-19
Authors: Sihang Liu (Univ. of Virginia), Korakit Seemakhupt (Univ. of Virginia), Gennady Pekhimenko (Univ. of Toronto), Aasheesh Kolli (Pennsylvania State University/VMware Research), Samira Khan (Univ. of Virginia)
“Hierarchical and Distributed Machine Learning Inference Beyond the Edge”, Conference- ICNSC, May-19
Authors: Anthony H. Thomas (UC/San Diego), Yunhui Guo (UC/San Diego), Yeseong Kim (UC/San Diego), Baris Aksanli (UC/San Diego), Arun Kumar (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Exploring Processing In-Memory for Different Technologies”, Conference- ACM Great Lakes Symposium on VLSI (GLSVLSI), 2019, May-19
Authors: Saransh Gupta (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators”, Conference- ACM Great Lakes Symposium on VLSI , May-19
Authors: Jilan Lin (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Xing Hu (UC/Santa Barbara), Lei Deng (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara)
“Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis”, Journal- IEEE BHI, May-19
Authors: Mohsen Imani (UC/San Diego), Tarek Nassar (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“SparseHD: Algorithm-Hardware Co-Optimization for Efficient High-Dimensional Computing”, Conference- FCCM 2019, May-19
Authors: Mohsen Imani (UC/San Diego), Sahand Salamat (UC/San Diego), Behnam Khaleghi (UC/San Diego), Mohammad Samragh (UC/San Diego), Farinaz Koushanfar (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“MEG: A RISCV-based System Simulation Infrastructure for Exploring Memory Optimization using FPGAs and Hybrid Memory Cube”, Conference- FCCM 2019, May-19
Authors: Jing Li (U of Wisconsin/Madison), Yang Liu (U of Wisconsin/Madison), Gaurav Jain (U of Wisconsin/Madison), Jonathan Ta (U of Wisconsin/Madison)
“GraphTinker: A High Performance Data Structure for Dynamic Graph Processing”, Conference- International Parallel and Distributed Processing Symposium (IPDPS), May-19
Authors: Wole Jaiyeoba (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“FlexAmata: Flexible Automata Processing”, Journal- Computer Architecture Letter, May-19
Authors: Elaheh Sadredini (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations”, Conference- Sapporo Convention Center, Sapporo, Japan, May-19
Authors: Nicholas Jao (Penn State), Akshay Krishna Ramanathan (Penn State), Abhronil Sengupta (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“Fairness in Dataflow Scheduling in the Cloud”, Journal- Information Systems - Journal - Elsevier, Apr-19
Authors: Ioannis Chronis (U of Wisconsin/Madison)
“A Scalable and Efficient in-Memory Interconnect Architecture for Automata Processing”, Journal- Computer Architecture Letter, Apr-19
Authors: Elaheh Sadredini (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Vaibhav Verma (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“Flexi-AES: A Highly-Parameterizable Cipher for a Wide Range of Design Constraints”, Conference- FCCM - International Symposium on Field-Programmable Custom Computing Machines, Apr-19
Authors: Sergiu Mosanu (Univ. of Virginia), Xinfei Guo (Univ. of Virginia), Mohamed El-Hadedy (California State Polytechnic University), Stan Mircea (Univ. of Virginia)
“TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators”, Conference- ASPLOS 2019, Apr-19
Authors: Mingyu Gao (Stanford), Xuan Yang (Stanford), Jing Pu (Stanford), Mark Horowitz (Stanford), Christoforos Kozyrakis (Stanford)
“Hardware Acceleration of Long Read Pairwise Overlapping in Genome Sequencing: A Race Between FPGA and GPU”, Conference- IEEE International Symposium On Field-Programmable Custom Computing Machines, Apr-19
Authors: Licheng Guo (UCLA), Jason Lau (UCLA), Zhenyuan Ruan (UCLA), Peng Wei (UCLA), Jason Cong (UCLA)
“PMTest: A Fast and Flexible Testing Framework for Persistent Memory Programs”, Conference- Accepted by ASPLOS 2019, Apr-19
Authors: Sihang Liu (Univ. of Virginia), Yizhou Wei (Univ. of Virginia), Jishen Zhao (UC/San Diego), Aasheesh Kolli (Penn State), Samira Khan (Univ. of Virginia)
“MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture”, Conference- https://www.isqed.org/, Apr-19
Authors: Joonseop Sim (UC/San Diego), Yeseong Kim (UC/San Diego), Saransh Gupta (UC/San Diego), Behnam Khaleghi (UC/San Diego), Tajana S. Rosing (UC/San Diego), Minsu Kim (Univ. of Minnesota)
“Hardware-So_ftware Co-design to Accelerate Neural Network Applications”, Journal- ACM Journal of Emerging Technologies in Computing Systems (JETC), Apr-19
Authors: Mohsen Imani (UC/San Diego), Ricardo Garcia (UC/San Diego), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“YOGI: Flexible Architecture & Runtime Co-Design for Deep Learning Specialization”, Conference- ISCA 2019 Submission, Apr-19
Authors: Thierry J. Moreau (Univ. of Washington), Luis H. Ceze (Univ. of Washington)
“Thermal-Aware Design and Flow for FPGA Performance Improvement”, Conference- DATE, Apr-19
Authors: Behnam Khaleghi (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services”, Conference- ASPLOS 2019, April 13-17, Providence, RI, Apr-19
Authors: Shuang Chen (Cornell), Christina Delimitrou (Cornell), Jose Martinez (Cornell)
“FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture”, Conference- Architectural Support for Programming Languages and Operating Systems, Apr-19
Authors: Yu Ji (Tsinghua University), Youyang Zhang (Tsinghua University), Xinfeng Xie (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Peiqi Wang (Tsinghua University), Xing Hu (UC/Santa Barbara), Youhui Zhang (Tsinghua University), Yuan Xie (UC/Santa Barbara)
“Debugging Support for Pattern-Matching Languages and Accelerators”, Conference- ASPLOS’19, Apr-19
Authors: Tommy J. Tracy (Univ. of Virginia), Kevin Angstadt (Univ. of Michigan), Matthew Casias (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Westley Weimer (Univ. of Michigan)
“DNN Dataflow Choice May Be Overrated”, Conference- Submitted for review to the ISCA 2019 conference, Mar-19
Authors: Mingyu Gao (Stanford), Xuan Yang (Stanford), Christoforos Kozyrakis (Stanford), Mark Horowitz (Stanford)
“Efficient Associative Search in Brain-Inspired Hyperdimensional Computing”, Journal- IEEE Design & Test , Mar-19
Authors: Mohsen Imani (UC/San Diego), Justin Morris (UC/San Diego), Helen Shu (UC/San Diego), Shou Li (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing”, Conference- 27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Mar-19
Authors: Sahand Salamat (UC/San Diego), Mohsen Imani (UC/San Diego), Behnam Khaleghi (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“DNN Dataflow Choice May Be Overrated”, Conference- Submitted for review to the ISCA 2019 conference, Mar-19
Authors: Mingyu Gao (Stanford), Xuan Yang (Stanford), Christoforos Kozyrakis (Stanford), Mark Horowitz (Stanford)
“NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration”, Journal- IEEE Transactions on Computers, Mar-19
Authors: Saransh Gupta (UC/San Diego), Mohsen Imani (UC/San Diego), Harveen Kaur (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“CADE: Configurable Approximate Divider for Energy Efficiency”, Conference- IEEE/ACM Design Automation and Test in Europe Conference (DATE), Mar-19
Authors: Mohsen Imani (UC/San Diego), Ricardo Garcia (UC/San Diego), Andrew Huang (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“A Binary Learning Framework for Hyperdimensional Computing”, Conference- IEEE/ACM Design Automation and Test in Europe Conference (DATE), Mar-19
Authors: Mohsen Imani (UC/San Diego), John Messerly (UC/San Diego), Fan Wu (UC/Riverside), Wang Pi (Peking Univ.), Tajana S. Rosing (UC/San Diego)
“HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing”, Conference- IEEE/ACM Design Automation and Test in Europe Conference (DATE), Mar-19
Authors: Mohsen Imani (UC/San Diego), Yeseong Kim (UC/San Diego), Thomas Worley (UC/San Diego), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Memory Trojan Attack on Neural Network Accelerators”, Conference- Design, Automation and Test in Europe, Mar-19
Authors: Yang Zhao (UC/Santa Barbara), Xing Hu (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Jing Ye (Chinese Academy), Lei Deng (UC/Santa Barbara), Yu Ji (Tsinghua University), Jianyu Xu (Tsinghua University), Dong Wu (Tsinghua University), Yuan Xie (UC/Santa Barbara)
“Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory”, Conference- Design, Automation and Test in Europe, Mar-19
Authors: Alvin Oliver Glova (University of California, Sanata Barbara), Itir Akgun (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Xing Hu (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara)
“Depthwise Convolution is All You Need for Learning Multiple Visual Domains”, Conference- AAAI 2019
Authors: Yunhui Guo (UC/San Diego), Yandong Li (Central Florida), Liqiang Wang (University of Central Florida, Orlando), Tajana S. Rosing (UC/San Diego)
“String Figure: A Scalable and Elastic Memory Network Architecture”, Conference- HPCA 2019, Feb-19
Authors: Matheus Ogleari (UC/San Diego), Ye Yu (Univ. of Kentucky), Chen Qian (UC/Santa Cruz), Ethan Miller (UC/Santa Cruz), Jishen Zhao (UC/San Diego)
“Large-Scale Graph Processing on Emerging Storage Devices”, Conference- USENIX Conference on File and Storage Technologies (FAST), Feb-19
Authors: Nima Elyasi (Penn State), Changho Choi (Samsung), Anand Sivasubramaniam (Penn State)
“HeteroCL: AMulti-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing”, Conference- 27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays , Feb-19
Authors: Yi-Hsiang Lai (Cornell), Yuze Chi (UCLA), Yuwei Hu (Cornell), Jie Wang (UCLA), Cody Hao Yu (UCLA), Yuan Zhou (Cornell), Jason Cong (UCLA), Zhiru Zhang (Cornell)
“Hardware Security Primitive Exploiting Intrinsic Variability in Analog Behavior of 3D NAND Flash Memory Array”, Journal- IEEE Journal on Exploratory Solid-state Computational devices and circuits, Feb-19
Authors: Michael Klachko (UC/Santa Barbara), Dmitri B. Strukov (UC/Santa Barbara), Shubham Sahay (UC/Santa Barbara)
“Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads”, Conference- 25th IEEE International Symposium on High-Performance Computer Architecture, 19-Feb
Authors: Abanti Basak (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Xing Hu (UC/Santa Barbara), Sang Min Oh (UC/Santa Barbara), Xinfeng Xie (UC/Santa Barbara), Li Zhao (Alibaba Inc), Xiaowei Jiang (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara)
“GRAM: Graph Processing in a ReRAM-based Computational Memory”, Conference- 24th Asia and South Pacific Design Automation Conference (ASP-DAC 2019), Jan-19
Authors: Minxuan Zhou (UC/San Diego), Tajana S. Rosing (UC/San Diego), Mohsen Imani (UC/San Diego), Saransh Gupta (UC/San Diego), Yeseong Kim (UC/San Diego)
“ALook: Adaptive Lookup for GPGPU Acceleration”, Conference- IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), Jan-19
Authors: Daniel Peroni (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“FACH: FPGA-based Acceleration of Hyperdimensional Computing by Reducing Computational Complexity”, Conference- IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), Jan-19
Authors: Mohsen Imani (UC/San Diego), Sahand Salamat (UC/San Diego), Saransh Gupta (UC/San Diego), Jiani Huang (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Monolithic-3D Integration Augmented Design Techniques for Computing in SRAMs ”, Conference- ISCAS 2019, Mar-19
Authors: Srivatsa Rangachar srinivasa (Penn State), Wei-Hao Chen (Natl Tsing Hua Univ.), Yung-Ning Tu (Natl Tsing Hua Univ.), Meng-Fan Chang (Natl Tsing Hua Univ.), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA”, Conference- FPGA, Feb-19
Authors: Cheng Fu (UC/San Diego), Shilin Zhu (UC/San Diego), Hao Su (UC/San Diego), Ching-En Lee (Iluvatar CoreX), Jishen Zhao (UC/San Diego)
“Pronto: Reducing the Performance and Programming Overhead of Failure-Atomicity for NVMMs via Asynchronous Semantic Logging”, Conference- File and Storage Technologies (FAST '19), Feb-19
Authors: Amirsaman Memaripour (UC/San Diego), Steven Swanson (UC/San Diego)
“Image Recognition Accelerator Design Using In-Memory Processing”, Journal- IEEE Micro, Feb-19
Authors: Yeseong Kim (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Runtime Efficiency-Accuracy Trade-off Using Configurable Floating Point Multiplier”, Journal- IEEE TCAD, Jan-19
Authors: Daniel Peroni (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Data Partitioning for In-Memory Systems: Myths, Challenges, and Opportunities”, Conference- The 8th biennial Conference on Innovative Data Systems Research (CIDR 2019), Jan-19
Authors: Jignesh Patel (U of Wisconsin/Madison), Zuyu Zhang (U of Wisconsin/Madison), Harshad Deshmukh (U of Wisconsin/Madison)
2018
“Cost-efficient 3D Integration to Hinder Reverse Engineering During and After Manufacturing”, Conference- http://asianhost.org/2018/, Dec-18
Authors: Peng Gu (UC/Santa Barbara), Dylan Stow (UC/Santa Barbara), Prashansa Mukim (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara)
“A Behavioral Compact Model of 3D NAND Flash Memory”, Journal- IEEE Electron Device Letters, Dec-18
Authors: Dmitri B. Strukov (UC/Santa Barbara), Shubham Sahay (UC/Santa Barbara)
“Burrows-Wheeler Short Read Aligner on AWS EC2 F1 Instances”, Conference- ReConFig 2018, Dec-18
Authors: Sergiu Mosanu (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Low-Power Design with Open-Source Hardware: Opportunities and Challenges”, Conference- First Workshop on Open-Source EDA Technology (WOSET), Nov-18
Authors: Vaibhav Verma (Univ. of Virginia), Xinfei Guo (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Efficient Human Activity Recognition Using Hyperdimensional Computing”, Conference- The 8th International Conference on the Internet of Things (IoT 2018), Hil-IoT, Oct-18
Authors: Yeseong Kim (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Automata Processing in Reconfigurable Architectures: In-the-cloud Deployment, Cross-platform Evaluation and Fast Symbol-only Reconfiguration”, Journal- ACM Transactions on Reconfigurable Technology and Systems (TRETS), Nov-18
Authors: Chunkun Bo (Univ. of Virginia), Vinh Q. Dang (Univ. of Virginia), Ted Xie (Univ. of Virginia), John Wadden (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“RNSnet: In-Memory Neural Network Acceleration Using Residue Number System”, Conference- IEEE International Conference on Rebooting Computing (ICRC 2018), Nov-18
Authors: Sahand Salamat (UC/San Diego), Mohsen Imani (UC/San Diego), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Pangolin: A Fault-Tolerant Persistent Memory Programming Library”, Journal- ArXiv, Nov-18
Authors: Steven Swanson (UC/San Diego)
“Striped UniFrac: Enabling Microbiome Analysis at Unprecedented Scale”, Journal- Nathure Methods, Oct-18
Authors: Daniel McDonald (UC/San Diego), Yoshiki Vazquez-Baeza (UC/San Diego), David Koslicki (Oregon State Univ.), Jason McClelland (Oregon State Univ.), Nicolai Reeve (UC/San Diego), Zhenjiang Xu (UC/San Diego), Antonio Gonzalez (UC/San Diego), Rob Knight (UC/San Diego)
“Processing-in-Memory for Energy-efficient Neural Network Training: A Heterogeneous Approach”, Conference- International Symposium on Microarchitecture (MICRO), 2018., Oct-18
Authors: Hengyu Zhao (UC/San Diego), Jiawen Liu (UC Merced), Matheus Ogleari (UCSD/UCSC), Dong Li (UC/Merced), Jishen Zhao (UC/San Diego)
“ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support”, Journal- TCAS-1, Nov-18
Authors: Srivatsa Rangachar srinivasa (Penn State), Akshay Krishna Ramanathan (Penn State), Xueqing Li (Penn State), Wei-Hao Chen (Natl Tsing Hua Univ.), Sumeet kumar Gupta (Univ. of Notre Dame), Meng-Fan Chang (Natl Tsing Hua Univ.), Swaroop Ghosh (Penn State), John Sampson (Penn State), Vijaykrishnan Nara (Penn State)
“Emerging Reconfigurable Nanotechnologies: Can they support Future Electronics?”, Conference- ICCAD 2018, Nov-18
Authors: Shubham Rai (CfAED Technische Universität Dresden), Srivatsa Rangachar srinivasa (Penn State), Patsy Cadareanu (The university of utah), Xunzhao Yin (Univ. of Notre Dame), Xiaobo Sharon Hu (Univ. of Notre Dame), Pierre Emmanuel Gaillardon (The university of utah), Vijaykrishnan Narayanan (Penn State), Akash Kumar (Univ. of Notre Dame)
“VORPAL: Scalable, Efficient Ordering for Persistent Memory Updates”, Journal- ArXiv, Oct-18
Authors: Kunal Kishore Korgaonkar (UC/San Diego), Jishen Zhao (UC/San Diego), Steven Swanson (UC/San Diego)
“Finding and Fixing Performance Pathologies in Persistent Memory Software Stacks”, Journal- ArXiv, Oct-18
Authors: Jian Xu (UC/San Diego), Juno Kim (UC/San Diego), Amirsaman Memaripour (UC/San Diego), Steven Swanson (UC/San Diego)
“Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network”, Conference- International Symposium on Microarchitecture (MICRO), Oct-18
Authors: Xing Hu (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara), Jishen Zhao (UC/San Diego)
“SCOPE: A Stochastic Computing Engine for DRAM-based In-situ Accelerator”, Conference- International Symposium on Microarchitecture (MICRO), Oct-18
Authors: Yuan Xie (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara), Xing Hu (UC/Santa Barbara), Alvin Glova (UC/Santa Barbara), Dimin Niu (Samsung), Hongzhong Zheng (Samsung)
“ASPEN: A Scalable In-SRAM Architecture for Pushdown Automata”, Conference- MICRO51, Oct-18
Authors: Kevin Angstadt (Univ. of Michigan), Arun Subramaniyan (Univ. of Michigan), Elaheh Sadredini (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Westley Weimer (Univ. of Virginia), Reetuparna Das (Univ. of Michigan)
“Database Isolation By Scheduling”, Conference- ACM SIGMOD, Nov-18
Authors: Jignesh Patel (U of Wisconsin/Madison), Robert Claus (U of Wisconsin/Madison)
“Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search?”, Conference- ACM SIGMOD, Jun-18
Authors: Ioannis Chronis (U of Wisconsin/Madison), Jignesh Patel (U of Wisconsin/Madison), Peter Van Sandt (U of Wisconsin/Madison)
“Utilization of Properties of Negative Capacitance FETs to Boost Analog Circuit Performances”, Journal- IEEE Transactions on Electron Devices, Oct-18
Authors: Yuhua Liang (Penn State), Xueqing Li (Penn State), Sumeet K. Gupta (Penn State), Suman Datta (Univ. of Notre Dame), Vijaykrishnan Narayanan (Penn State)
“Analysis of Process Variation of Ferroelectric Film on Negative Capacitance FETs Performance”, Journal- IEEE Transactions on Electron Devices, Oct-18
Authors: Yuhua Liang (Penn State), Xueqing Li (Penn State), Sumeet K. Gupta (Penn State), Suman Datta (Univ. of Notre Dame), Vijaykrishnan Na (Penn State)
“AutomataZoo: A Modern Automata Processing Benchmark Suite”, Conference- IISWC 2018 Conference, Oct-18
Authors: John Wadden (UVA Patent Foundation), Tommy J. Tracy (Univ. of Virginia), Elaheh Sadredini (Univ. of Virginia), Lingxi Wu (Univ. of Virginia), Chunkun Bo (Univ. of Virginia), Jesse Du (Univ. of Virginia), Yizhou Wei (Univ. of Virginia), Matthew Wallace (Univ. of Virginia), Jeffrey D. Udall (Portland State), Mircea R. Stan (Univ. of Virginia), Kevin Skadron (Univ. of Virginia)
“Analysis of DIBL Effect and Negative Resistance Performance for NCFET Based on a Compact SPICE Mode”, Journal- IEEE Transactions on Electron Devices, Oct-19
Authors: Yuhua Liang (Penn State), Xueqing Li (Tsinghua University), Sumeet K. Gupta (Penn State), Suman Datta (Univ. of Notre Dame), Vijaykrishnan Narayanan (Penn State)
“Reviving Zombie Pages on SSDs”, Conference- International Symposium on Workload Characterization, Oct-18
Authors: Nima Eylasi (Penn State), Anand Sivasubramaniam (Penn State), Mahmut Kandemir (Penn State), Chita Das (Penn State)
“CritICs Critiquing Criticality in Mobile Apps”, Conference- International Symposium on MicroArchitecture (MICRO), Oct-18
Authors: Prasanna Rengasamy (Penn State), Haibo Zhang (Penn State), Shulin Zhao (Penn State), Nachiappan Chidambaram Nachiappan (Penn State), Anand Sivasubramaniam (Penn State), Mahmut Kandemir (Penn State), Chita Das (Penn State)
“MDACache: Caching for Multi-Dimensional-Access Memories”, Conference- MICRO 51 @Fukuoka, Oct-18
Authors: Sumitha George (Penn State), Minli Julie Liao (Penn State), Huaipan Jiang (Penn State), Jagadish Kotra (AMD), Mahmut Kandemir (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“Instructions for Preparing Camera-Ready Summaries for SSDM 2004”, Conference- SSDM 2018, Sep-18
Authors: Srivatsa Rangachar srinivasa (Penn State), Nagadastagiri R. Challapalle (Penn State), Nicholas Jao (Penn State), Akshay Krishna Ramanathan (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“FELIX: Fast and Energy-Efficient Logic in Memory”, Conference- International Conference On Computer Aided Design (ICCAD), 2018, Nov-18
Authors: Saransh Gupta (UC/San Diego), Mohsen Imani (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Content Popularity-based Selective Representation for Read Redirection in SSDs”, Conference- IEEE MASCOTS 2018 Symposium, Sep-18
Authors: Nima Elyasi (Penn State), Moammed Arjomand (Georgia Tech), Anand Sivasubramaniam (Penn State), Mahmut Kandemir (Penn State), Chita Das (Penn State)
“Finding and Fixing Performance Pathologies in Persistent Memory Software Stacks”, Conference- OSDI, Aug-18
Authors: Steven Swanson (UC/San Diego), Juno Kim (UC/San Diego), Jian Xu (UC/San Diego)
“GraphIA: An In-situ Accelerator for Large-scale Graph Processing”, Conference- 4th Annual International Symposium on Memory Systems, Oct 1-4, 2018, Oct-18
Authors: Gushu Li (UC/Santa Barbara), Yuan Xie (UC/Santa Barbara), Shuangchen Li (UC/Santa Barbara)
“Leveraging MLC STT-RAM for Energy-efficient CNN Training”, Conference- Memsys 2018, Oct-18
Authors: Hengyu Zhao (UC/San Diego), Jishen Zhao (UC/San Diego)
“GAS: A Heterogeneous Memory Architecture for Graph Processing”, Conference- ISLPED, Aug-18
Authors: Minxuan Zhou (UC/San Diego), Mohsen Imani (UC/San Diego), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing”, Conference- International Symposium on Low Power Electronics and Design (ISLPED), Jul-18
Authors: Ricardo Garcia (UC/San Diego), Saransh Gupta (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“OldSpot: A Pre-RTL Model for Fine-grained Aging and Lifetime Optimization”, Conference- 36th IEEE International Conference on Computer Design (ICCD 2018), Oct-18
Authors: Alec Roelke (Univ. of Virginia), Xinfei Guo (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Influence of Body-Effect on Sample-and-Hold Circuit Design using Negative Capacitance FET”, Journal- IEEE Transactions on Electron Devices, Jul-18
Authors: Yuhua Liang (Penn State), Vijaykrishnan Narayanan (Penn State), Xueqing Li (Penn State), Sumeet K. Gupta (Purdue), Suman Datta (Univ. of Notre Dame), Srivatsa Rangachar (Penn State), Sumita George (Penn State)
“Building Efficient Deep Neural Networks with Unitary Group Convolutions”, Conference- Computer Vision and Pattern Recognition (CVPR), Jun-19
Authors: Ritchie Zhao (Cornell), Yuwei Hu (Cornell), Christopher De Sa (Cornell), Zhiru Zhang (Cornell)
“FLOSS: FLOw Sensitive Scheduling on Mobile Platforms”, Conference- DAC 2018, Aug-18
Authors: Haibo Zhang (Penn State), Prasanna Venkatesh Rengaswamy (Penn State), Nachiappan C. Nachiappan (Penn State), Shulin Zhao (Penn State), Anand Sivasubramaniam (Penn State), Mahmut Kandemir (Penn State), Chita R. Das (Penn State)
“Harnessing Emerging Technology for Compute-In-Memory Support”, Conference- IEEE Computer Society Annual Symposium on VLSI, Jul-18
Authors: Nicolas Jao (Penn State), Akshay Krishna Ramanathan (Penn State), Srivatsa Rangachar srinivasa (Penn State), Sumitha George (Penn State), John Sampson (Penn State), Vijaykrishnan Narayanan (Penn State)
“A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators”, Conference- SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'18), Aug-18
Authors: Elaheh Sadredini (Univ. of Virginia), Deyuan Guo (Univ. of Virginia), Chunkun Bo (Univ. of Virginia), Reza Rahimi (Univ. of Virginia), Kevin Skadron (Univ. of Virginia), Hongning Wang (Univ. of Virginia)
“Co-optimizing CPUs and Accelerators in Constrained Systems”, Conference- 31st IEEE International System-on-chip , Sep-18
Authors: Alec Roelke (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Controlling the Reliability of SRAM PUFs with Directed NBTI Aging and Recovery”, Journal- IEEE Transactions on VLSI, Aug-18
Authors: Alec Roelke (Univ. of Virginia), Mircea R. Stan (Univ. of Virginia)
“Lowering Area Overhead s for FeFET - Based Energy - Efficient Nonvolatile Flip - Flops”, Conference- TED, Apr-18
Authors: Xueqing Li (Penn State), Sumitha George (Penn State), Yuhua Liang (Penn State), Kaisheng Ma (Penn State), Kai Ni (Univ. of Notre Dame), Ahmedullah Aziz (Penn State), Sumeet K. Gupta (Purdue), John Sampson (Penn State), Meng-Fan Chang (Natl Tsing Hua Univ.), Yongpan Liu (Tsinghua University), Huazhong Yang (Tsinghua University), Suman Datta (Univ. of Notre Dame), Vijaykrishnan Narayanan (Penn State)
“NVQuery: Efficient Query Processing in Non-Volatile Memory”, Journal- IEEE TCAD, Jun-18
Authors: Mohsen Imani (UC/San Diego), Saransh Gupta (UC/San Diego), Sahil Sharama (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“Hierarchical Hyperdimensional Computing for Energy Efficient Classification”, Conference- Design Automation Conference, Jun-18
Authors: Mohsen Imani (UC/San Diego), Chenyu Huang (UC/San Diego), Deqian Kong (UC/San Diego), Tajana S. Rosing (UC/San Diego)
“A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support”, Conference- ISLPED, Jul-18
Authors: Srivatsa Rangachar srinivasa (Penn State)