Runtime support for scalable programming in Java

The paper research is concerned with enabling parallel, high-performance computation—in particular development of scientific software in the network-aware programming language, Java. Traditionally, this kind of computing was done in Fortran. Arguably, Fortran is becoming a marginalized language, with limited economic incentive for vendors to produce modern development environments, optimizing compilers for new hardware, or other kinds of associated software expected of by today’s programmers. Hence, Java looks like a very promising alternative for the future. The paper will discuss in detail a particular environment called HPJava. HPJava is the environment for parallel programming—especially data-parallel scientific programming—in Java. Our HPJava is based around a small set of language extensions designed to support parallel computation with distributed arrays, plus a set of communication libraries. A high-level communication API, Adlib, is developed as an application level communication library suitable for our HPJava. This communication library supports collective operations on distributed arrays. We include Java Object as one of the Adlib communication data types. So we fully support communication of intrinsic Java types, including primitive types, and Java object types.     

基于HPJava集群系统的环境搭建与性能分析

Bcwulf集群系统是基于广泛应用的高性能网络环境的由一些微机组成的系统,它可以运行于很多操作系统,如Linux、Windows.Java在作为科学与工程计算语言方面,并没有显著的缺点,却有一些明显的优点.随着Java编译技术的进步,用户会发现用Java编写新应用程序将变得更有吸引力.HPJava语言作为一种支持科学和并行计算的Java新扩展语言,尤其适合大型的并行编程和分布式存储的计算机.HPJava是用Java来实现科学和并行编程的环境,它是基于Java语言的扩充.主要介绍了HPJava在Ljnux系统下构建集群的方法,并用矩阵相乘算法对该系统进行了性能分析.     

基于HPJava集群系统的环境搭建与性能分析

Beowulf集群系统是基于广泛应用的高性能网络环境的由一些微机组成的系统,它可以运行于很多操作系统,如Linux、Windows。Java在作为科学与工程计算语言方面,并没有显著的缺点,却有一些明显的优点。随着Java编译技术的进步,用户会发现用Java编写新应用程序将变得更有吸引力。HPJava语言作为一种支持科学和并行计算的Java新扩展语言,尤其适合大型的并行编程和分布式存储的计算机。HPJava是用Java来实现科学和并行编程的环境,它是基于Java语言的扩充。主要介绍了HPJava在Linux系统下构建集群的方法,并用矩阵相乘算法对该系统进行了性能分析。