Dynamic data distributions offer a number of performance benefits, but require more sophisticated compiler support and incur run-time overhead. We investigate attainable benefits ...
Both inherently sequential code and limitations of analysis techniques prevent full parallelization of many applications by parallelizing compilers. Amdahl's Law tells us tha...
Most of today's multiprocessors have a DistributedShared Memory (DSM) organization, which enables scalability while retaining the convenience of the shared-memory programming...
Angeles G. Navarro, Rafael Asenjo, Emilio L. Zapat...
Run-time parallelization is often the only way to execute the code in parallel when data dependence information is incomplete at compile time. This situation is common in many imp...