High-Performance Parallel Programming in Java: Exploiting Native Libraries

With most of today's fast scienti c software written in Fortran and C, Java has a lot of catching up to do. In this paper we discuss how new Java programs can capitalize on high-performance libraries for other languages. With the help of a tool we have automatically created Java bindings for several standard libraries: MPI, BLAS, BLACS, PBLAS, ScaLAPACK. Performance results are presented for Java versions of two benchmarks from the NPB and PARKBENCH suites on an IBM SP2 distributedmemory machine using JDK and IBM's high-performance Java compiler. The results con rm that fast parallel computing in Java is indeed possible.