Given the large communication overheads characteristic of modern parallel machines, optimizations that eliminate, hide or parallelize communication may improve the performance of ...
Programming network processors remains a challenging task since their birth until recently when high-level programming environments for them are emerging. By employing domain speci...
Tao Liu, Xiao-Feng Li, Lixia Liu, Chengyong Wu, Ro...
With the advent of chip-multiprocessors, we are faced with the challenge of parallelizing performance-critical software. Transactional memory (TM) has emerged as a promising progr...
Marek Olszewski, Jeremy Cutler, J. Gregory Steffan
Transactional memory (TM) simplifies parallel programming by guaranteeing that transactions appear to execute atomically and in isolation. Implementing these properties includes p...
Kevin E. Moore, Jayaram Bobba, Michelle J. Moravan...
SIMD or vector computers and collection-oriented languages, like C , are designed to perform the same computation on each data item or on just a subset of the data. Subsets of pro...