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Automatic Task-based Code Generation for High Performance Domain Specific Embedded Language

Antoine Tran Tan 1, 2 Joel Falcou 1, 2 Daniel Etiemble 1, 2 Hartmut Kaiser 3
1 POSTALE - Performance Optimization by Software Transformation and Algorithms & Librairies Enhancement
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
2 ParSys - LRI - Systèmes parallèles (LRI)
LRI - Laboratoire de Recherche en Informatique
3 CCT - Center for Computation and Technology [Baton Rouge]
Abstract : Providing high level tools for parallel programming while sustaining a high level of performance has been a challenge that techniques like Domain Specific Embedded Languages try to solve. In previous works, we investigated the design of such a DSEL-NT2- providing a Matlab-like syntax for parallel numerical computations inside a C++ library. In this paper, we show how NT2 has been redesigned for shared memory systems in an extensible and portable way.
Keywords : parallel skeletons asynchronous programming generative programming C++
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Conference papers
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https://hal.inria.fr/hal-01061423
Contributor : Joel Falcou <>
Submitted on : Friday, September 5, 2014 - 5:27:41 PM
Last modification on : Wednesday, September 16, 2020 - 5:43:31 PM

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  • HAL Id : hal-01061423, version 1

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CNRS | INRIA | UMR8623 | LRI-PARSYS

Citation

Antoine Tran Tan, Joel Falcou, Daniel Etiemble, Hartmut Kaiser. Automatic Task-based Code Generation for High Performance Domain Specific Embedded Language. HLPP 2014, Jul 2014, Amsterdam, Netherlands. ⟨hal-01061423⟩

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