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

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 —NT 2 —providing a Matlab -like syntax for paralle...

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Vydáno v:	International journal of parallel programming Ročník 44; číslo 3; s. 449 - 465
Hlavní autoři:	Tran Tan, Antoine, Falcou, Joel, Etiemble, Daniel, Kaiser, Hartmut
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.06.2016 Springer Nature B.V
Témata:	Algorithms Analysis Automation C plus plus Computer programming Computer Science Cost control Design analysis Design engineering Language Level (quantity) Libraries Linear algebra Matlab New technology Parallel processing Parallel programming Processor Architectures Programming languages Run time (computers) Semantics Software Engineering/Programming and Operating Systems Studies Theory of Computation Parallel skeletons C++ Generative programming Asynchronous programming
ISSN:	0885-7458, 1573-7640
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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 —NT 2 —providing a Matlab -like syntax for parallel numerical computations inside a C++ library. In this paper, we show how NT 2 has been redesigned for shared memory systems in an extensible and portable way. The new NT 2 design relies on a tiered Parallel Skeleton system built using asynchronous task management and automatic compile-time taskification of user level code. We describe how this system can operate various shared memory runtimes and evaluate the design by using two benchmarks implementing linear algebra algorithms.
AbstractList	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 —NT 2 —providing a Matlab -like syntax for parallel numerical computations inside a C++ library. In this paper, we show how NT 2 has been redesigned for shared memory systems in an extensible and portable way. The new NT 2 design relies on a tiered Parallel Skeleton system built using asynchronous task management and automatic compile-time taskification of user level code. We describe how this system can operate various shared memory runtimes and evaluate the design by using two benchmarks implementing linear algebra algorithms. (ProQuest: ... denotes formulae and/or non-USASCII text omitted; see image).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-NT...-providing a Matlab -like syntax for parallel numerical computations inside a C++ library. In this paper, we show how NT... has been redesigned for shared memory systems in an extensible and portable way. The new NT... design relies on a tiered Parallel Skeleton system built using asynchronous task management and automatic compile-time taskification of user level code. We describe how this system can operate various shared memory runtimes and evaluate the design by using two benchmarks implementing linear algebra algorithms. (ProQuest: ... denotes formulae and/or non-USASCII text omitted; see image) Issue Title: Special Issue on High-Level Parallel Programming and Applications 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--NT...--providing a Matlab -like syntax for parallel numerical computations inside a C++ library. In this paper, we show how NT... has been redesigned for shared memory systems in an extensible and portable way. The new NT... design relies on a tiered Parallel Skeleton system built using asynchronous task management and automatic compile-time taskification of user level code. We describe how this system can operate various shared memory runtimes and evaluate the design by using two benchmarks implementing linear algebra algorithms.
Author	Tran Tan, Antoine Falcou, Joel Etiemble, Daniel Kaiser, Hartmut
Author_xml	– sequence: 1 givenname: Antoine surname: Tran Tan fullname: Tran Tan, Antoine email: antoine.trantan@lri.fr organization: LRI, INRIA, Université Paris-Sud XI – sequence: 2 givenname: Joel surname: Falcou fullname: Falcou, Joel organization: LRI, INRIA, Université Paris-Sud XI – sequence: 3 givenname: Daniel surname: Etiemble fullname: Etiemble, Daniel organization: LRI, INRIA, Université Paris-Sud XI – sequence: 4 givenname: Hartmut surname: Kaiser fullname: Kaiser, Hartmut organization: CCT, Louisiana State University
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Cites_doi	10.1145/872736.806932 10.1086/260062 10.1145/1512762.1512767 10.1016/S0164-1212(00)00089-3 10.1109/ICPPW.2009.14 10.1145/165854.165874 10.1007/3-540-35767-X_13 10.1007/s10766-006-0018-x 10.1007/978-3-540-74466-5_74 10.1145/2370816.2370881 10.1177/1094342007078442 10.1007/978-3-540-85451-7_78 10.1007/s10766-012-0197-6 10.1016/j.parco.2008.10.002 10.1109/HPCC.2010.23 10.1145/242224.242477 10.1016/j.parco.2003.12.002 10.1109/TPDS.2008.105 10.1007/3-540-39953-4_3 10.1007/11549468_83 10.1007/s10270-004-0070-1 10.1007/3-540-45706-2_86 10.1007/978-3-642-32820-6_25
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