Parallel programming generally requires awareness of the granularity and communication requirements of parallel subtasks, since without precaution, the overhead for parameter and r...
The performance benefits of GPU parallelism can be enormous, but unlocking this performance potential is challenging. The applicability and performance of GPU parallelizations is...
Thomas B. Jablin, Prakash Prabhu, James A. Jablin,...
Single-threaded programming is already considered a complicated task. The move to multi-threaded programming only increases the complexity and cost involved in software developmen...
Matthew J. Bridges, Neil Vachharajani, Yun Zhang, ...
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Modern high-end machines feature multiple processor packages, each of which contains multiple independent cores and integrated memory controllers connected directly to dedicated p...
Sven Auhagen, Lars Bergstrom, Matthew Fluet, John ...