Devito:自动快速有限差分计算

Navjot Kukreja, M. Louboutin, Felippe Vieira, F. Luporini, Michael Lange, G. Gorman
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引用次数: 26

摘要

领域特定语言已经成功地应用于各种领域,以清晰地表达科学问题,并简化在不同计算机体系结构上的实现和性能优化。尽管有大量的模板语言可用,但有限差分领域特定语言的设计已被证明具有挑战性,因为大多数实际用例需要超出有限差分抽象的附加功能。受现实世界地震成像问题复杂性的启发,我们引入了Devito,这是一种特定于领域的语言,在这种语言中,高级方程使用SymPy包中的符号表达式表示。复杂的方程被自动处理、优化并转换为高度优化的C代码,其目的是与手动调整的代码相当或更好。所有这些对用户来说都是透明的,他们只看到简洁的符号数学表达式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Devito: Automated Fast Finite Difference Computation
Domain specific languages have successfully been used in a variety of fields to cleanly express scientific problems as well as to simplify implementation and performance optimization on different computer architectures. Although a large number of stencil languages are available, finite difference domain specific languages have proved challenging to design because most practical use cases require additional features that fall outside the finite difference abstraction. Inspired by the complexity of real-world seismic imaging problems, we introduce Devito, a domain specific language in which high level equations are expressed using symbolic expressions from the SymPy package. Complex equations are automatically manipulated, optimized, and translated into highly optimized C code that aims to perform comparably or better than hand-tuned code. All this is transparent to users, who only see concise symbolic mathematical expressions.
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