资 源 简 介
Automatic privatization of loops
Extracting synchronization-free slices allows us to automatically generate parallel loops. The code can be executed on multi-processors machines in reduced period of time. Privatization of data is an important technique that has been used by compilers to parallelize loops by eliminating storage-related dependences. In this project, we present an approach to automatic privatization of variables involved in data dependences that permits for extracting loop parallelism. The input of the algorithm is a set of relation dependences, the output is a parallel loop when appropriate. The scope of the applicability of the approach is illustrated by means of the NAS Parallel Benchmark suite.
