Extending OpenMP to Survive the Heterogeneous Multi-Core Era

被引：32

作者：

Ayguade, Eduard ^{[1
,2
]}

Badia, Rosa M. ^{[1
,3
]}

Bellens, Pieter ^{[1
]}

Cabrera, Daniel ^{[1
]}

Duran, Alejandro ^{[1
]}

Ferrer, Roger ^{[1
]}

Gonzalez, Marc ^{[1
,2
]}

Igual, Francisco ^{[4
]}

Jimenez-Gonzalez, Daniel ^{[1
,2
]}

Labarta, Jesus ^{[1
,2
]}

Martinell, Luis ^{[1
]}

Martorell, Xavier ^{[1
,2
]}

Mayo, Rafael ^{[4
]}

Perez, Josep M. ^{[1
]}

Planas, Judit ^{[1
]}

Quintana-Orti, Enrique S. ^{[4
]}

机构：

[1] Barcelona Supercomp Ctr, Ctr Nacl Supercomputac BSC CNS, Barcelona 08034, Spain

[2] Univ Politecn Cataluna, Depto Arquitectura Comp, ES-08034 Barcelona, Spain

[3] Spanish Natl Res Council, CSIC, Artificial Intelligence Res Inst, Madrid, Spain

[4] UJI, Depto Ingn & Ciencia Comp, Castellon de La Plana 12071, Spain

来源：

INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING | 2010年 / 38卷 / 5-6期

关键词：

Parallel computing; Programming models; Runtime systems; Task-level parallelism; Multi-core processors; Hardware accelerators; Heterogeneous computing; DESIGN;

D O I：

10.1007/s10766-010-0135-4

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper advances the state-of-the-art in programming models for exploiting task-level parallelism on heterogeneous many-core systems, presenting a number of extensions to the OpenMP language inspired in the StarSs programming model. The proposed extensions allow the programmer to write portable code easily for a number of different platforms, relieving him/her from developing the specific code to off-load tasks to the accelerators and the synchronization of tasks. Our results obtained from the StarSs instantiations for SMPs, the Cell, and GPUs report reasonable parallel performance. However, the real impact of our approach in is the productivity gains it yields for the programmer.

引用

页码：440 / 459

页数：20

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