Improving memory performance at software level is more effective in reducing the rapidly expanding gap between processor and memory performance. Loop transformations (e.g. loop un...
Surendra Byna, Xian-He Sun, William Gropp, Rajeev ...
This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on generalizations of the classical data stream model where...
The amount of memory being embedded on chip is growing rapidly. This strongly implies that memory Built-in-self-test (BIST) logic assumes utmost importance amongst all on chip sel...
Raja Venkatesh, Sailesh Kumar, Joji Philip, Sunil ...
Memory consistency litmus tests are small parallel programs that are designed to illustrate subtle differences between memory consistency models by exhibiting different outcomes...
This paper presents a task-centric memory model for 1000-core compute accelerators. Visual computing applications are emerging as an important class of workloads that can exploit ...
John H. Kelm, Daniel R. Johnson, Steven S. Lumetta...