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Computer systems are increasingly bottlenecked by data movement costs and are no longer able to keep up with the “big data” explosion. This trend is compounded by the fact that data in memory is stored without any consideration of data content, usage patterns, or how data are grouped into higher-level objects. Many algorithms also exhibit poor temporal locality (because they only touch data items once) and poor spatial locality (because they exhibit irregular access patterns across vast data sizes), making caches inefficient. MORE >

 

News

image of Jose Martinez

José Martínez of Cornell has been selected as one of IEEE’s 2021 Fellows for contributions to adaptable multiprocessor computer architectures.

Sihang Liu's image

Ph.D. student Sihang Liu of the University of Virginia has been selected for the 2020 Google Fellowship Program which recognizes outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields.

Group photo at ICCAD conference

UCLA Computer Science Professor Jason Cong, together with his co-authors Zhenyuan Ruan (former student, now at MIT), and Tong He (former student, now at Google), have received the 2019 IEEE/ACM William J.