用于数字密集型计算的Java:从flop到gigaflops

Proceedings. Frontiers '99. Seventh Symposium on the Frontiers of Massively Parallel Computation Pub Date : 1999-02-21 DOI:10.1109/FMPC.1999.750607

S. Midkiff, J. Moreira, M. Snir

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引用次数: 8

摘要

在数值编程方面，Java并不被认为是Fortran的竞争对手。在本文中，我们将讨论能够并将在Java中提供类似fortran性能的技术。这些技术包括新的和现有的编译器技术、并行性的利用以及用于数值计算的Java库集合。我们还提供了实验数据来证明我们的方法的有效性。特别是，我们在RS/6000 SMP机器上使用线性代数内核实现了1 Gflops。大多数这些技术不需要改变语言;一些依赖于目前正在考虑的Java扩展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Java for numerically intensive computing: from flops to gigaflops

Java is not thought of as being competitive with Fortran for numerical programming. In this paper, we discuss technologies that can and will deliver Fortran-like performance in Java. These techniques include new and existing compiler technologies, the exploitation of parallelism, and a collection of Java libraries for numerical computing. We also present experimental data to show the effectiveness of our approaches. In particular we achieve 1 Gflops with a linear algebra kernel on an RS/6000 SMP machine. Most of these techniques require no language changes; a few depend on extensions to Java currently under consideration.

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Proceedings. Frontiers '99. Seventh Symposium on the Frontiers of Massively Parallel Computation

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