Most image processing algorithms can be parallelized by splitting parallel loops and by using very few communication patterns. Code parallelization using MPI still involves much p...
Abstract. The recent parallel language standard for shared memory multiprocessor (SMP) machines, OpenMP, promises a simple and portable interface for programmers who wish to exploi...
Seung-Jai Min, Seon Wook Kim, Michael Voss, Sang I...
Abstract. Recent advances in software and hardware for clustered computing have allowed scientists and computing specialists to take advantage of commodity processors in solving ch...
The traditional target machine of a parallelizing compiler can execute code sections either serially or in parallel. In contrast, targeting the generated code to a speculative para...
—Data dependence analysis techniques are the main component of today’s strategies for automatic detection of parallelism. Parallelism detection strategies are being incorporate...