Why New Programming Languages for Simulation?

ACM Trans. Graph. Pub Date : 2016-05-25 DOI:10.1145/2930661
G. Bernstein, Fredrik Kjolstad
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引用次数: 68

Abstract

Writing highly performant simulations requires a lot of human effort to optimize for an increasingly diverse set of hardware platforms, such as multi-core CPUs, GPUs, and distributed machines. Since these optimizations cut across both the design of geometric data structures and numerical linear algebra, code reusability and portability is frequently sacrificed for performance. We believe the key to make simulation programmers more productive at developing portable and performant code is to introduce new linguistic abstractions, as in rendering and image processing. In this perspective, we distill the core ideas from our two languages, Ebb and Simit, that are published in this journal.
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为什么要使用新的编程语言?
编写高性能的模拟需要大量的人力来优化越来越多样化的硬件平台,比如多核cpu、gpu和分布式机器。由于这些优化跨越了几何数据结构和数值线性代数的设计,因此代码的可重用性和可移植性经常会为了性能而牺牲。我们认为,让仿真程序员在开发可移植和高性能代码时更有效率的关键是引入新的语言抽象,比如在渲染和图像处理方面。从这个角度来看,我们从我们的两种语言Ebb和Simit中提炼出核心思想,并发表在这本杂志上。
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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