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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 >


crisp uva faculty

Kevin Skadron, Mircea Stan and Samira Khan formed UVa’s new Center for Research in Intelligent Storage and Processing in Memory in January through a $27.5 million grant from the corporation to tackle the “memory wall” — a bottleneck in computers that cannot process massive modern datasets.

The University of Virginia School of Engineering and Applied Science has been selected to establish a $27.5 million national center to remove a bottleneck built into computer systems 70 years ago that is increasingly hindering technological advances today.