Paraiso : An Automated Tuning Framework for Explicit Solvers of Partial Differential Equations

Дата и время публикации : 2012-04-21T05:19:03Z

Авторы публикации и институты :
Takayuki Muranushi

Ссылка на журнал-издание: Ссылка на журнал-издание не найдена
Коментарии к cтатье: 52 pages, 14 figures, accepted for publications in Computational Science and Discovery
Первичная категория: astro-ph.IM

Все категории : astro-ph.IM, cs.DC, cs.NE, 65M22 (Primary) 68N15, 68N18, 65K10 (Secondary)

Краткий обзор статьи: We propose Paraiso, a domain specific language embedded in functional programming language Haskell, for automated tuning of explicit solvers of partial differential equations (PDEs) on GPUs as well as multicore CPUs. In Paraiso, one can describe PDE solving algorithms succinctly using tensor equations notation. Hydrodynamic properties, interpolation methods and other building blocks are described in abstract, modular, re-usable and combinable forms, which lets us generate versatile solvers from little set of Paraiso source codes. We demonstrate Paraiso by implementing a compressive hydrodynamics solver. A single source code less than 500 lines can be used to generate solvers of arbitrary dimensions, for both multicore CPUs and GPUs. We demonstrate both manual annotation based tuning and evolutionary computing based automated tuning of the program.

Category: Physics