Precision, Accuracy, and Rounding Error Propagation in Exascale Computing

Marius Cornea
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引用次数: 3

Abstract

Exascale level computers might be available in less than a decade. Computer architects are already thinking of, and planning to achieve such levels of performance. It is reasonable to expect that researchers and engineers will carry out scientific and engineering computations more complex than ever before, and will attempt breakthroughs not possible today. If the size of the problems solved on such machines scales accordingly, we may face new issues related to precision, accuracy, performance, and programmability. The paper examines some relevant aspects of this problem.
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百亿亿次计算中的精度、准确度和舍入误差传播
百亿亿次级计算机可能在不到十年的时间内问世。计算机架构师已经在考虑并计划实现这样的性能水平。我们有理由期望,研究人员和工程师将进行比以往任何时候都更加复杂的科学和工程计算,并将尝试今天不可能实现的突破。如果在这样的机器上解决的问题的规模相应地扩大,我们可能会面临与精度、准确性、性能和可编程性相关的新问题。本文探讨了这一问题的一些相关方面。
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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Numerical Reproducibility and Accuracy at ExaScale Truncated Logarithmic Approximation Comparison between Binary64 and Decimal64 Floating-Point Numbers Split-Path Fused Floating Point Multiply Accumulate (FPMAC) Precision, Accuracy, and Rounding Error Propagation in Exascale Computing
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