High-performance parallel programming in Java: exploiting native libraries

Abstract

With most of today's fast scientific 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 and ScaLAPACK. The purpose of the additional software layer introduced by the bindings is to resolve the interface problems between different programming languages such as data type mapping, pointers, multidimensional arrays, etc. For evaluation, performance results are presented for Java versions of two benchmarks from the NPB and PARKBENCH suites on the IBM SP2 using JDK and IBM's high-performance Java compiler, and on the Fujitsu AP3000 using Toba – a Java-to-C translator. The results confirm that fast parallel computing in Java is indeed possible. © 1998 John Wiley & Sons, Ltd.