Basic skeletons in llc

llc is a high-level parallel language that provides support for some of the most widely used algorithmic skeletons. The language has a syntax based on OpenMP-like directives and the compiler uses direct translation to MPI to produce parallel code. To evaluate the performance of our prototype compiler we present computational results for some of the skeletons available in the language on different architectures. Particularly in the presence of coarse-grain parallelism, the results reflect similar performances for the llc compiled version and ad hoc MPI or OpenMP implementations. In all cases, the performance loss with respect to a direct MPI implementation is clearly compensated by a significantly smaller devel-