Benchmarks and performance analysis of decimal floating-point applications

Liang-Kai Wang, C. Tsen, M. Schulte, Divya Jhalani
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引用次数: 39

Abstract

The IEEE P754 draft standard for floating-point arithmetic provides specifications for decimal floating-point (DFP) formats and operations. Based on this standard, many developers will provide support for DFP calculations. We present a benchmark suite for DFP applications and use this suite to evaluate the performance of hardware and software DFP solutions. Our benchmarks include banking, commerce, risk-management, tax, and telephone billing applications organized into a suite of five macro benchmarks. In addition to developing our own applications, we leverage open-source projects and academic financial analysis applications. The benchmarks are modular, making them easy to adapt for different DFP solutions. We use the benchmarks to evaluate the performance of the decNumber DFP library and an extended version of the SimpleScalar PISA architecture with hardware and instruction set support for DFP operations. Our analysis shows that providing processor support for high-speed DFP operations significantly improves the performance of DFP applications.
十进制浮点应用程序的基准测试和性能分析
浮点运算的IEEE P754标准草案提供了十进制浮点(DFP)格式和操作的规范。基于这个标准,许多开发人员将提供对DFP计算的支持。我们提出了一个DFP应用程序的基准套件,并使用该套件来评估硬件和软件DFP解决方案的性能。我们的基准测试包括银行、商业、风险管理、税务和电话计费应用程序,这些应用程序被组织成一组五个宏观基准测试。除了开发我们自己的应用程序,我们还利用开源项目和学术财务分析应用程序。基准测试是模块化的,这使得它们很容易适应不同的DFP解决方案。我们使用基准来评估decNumber DFP库和SimpleScalar PISA体系结构的扩展版本的性能,该体系结构具有支持DFP操作的硬件和指令集。我们的分析表明,为高速DFP操作提供处理器支持可以显著提高DFP应用程序的性能。
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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