Extending OpenMP to Survive the Heterogeneous Multi-Core Era

被引：0
|
作者：
Eduard Ayguadé
Rosa M. Badia
Pieter Bellens
Daniel Cabrera
Alejandro Duran
Roger Ferrer
Marc Gonzàlez
Francisco Igual
Daniel Jiménez-González
Jesús Labarta
Luis Martinell
Xavier Martorell
Rafael Mayo
Josep M. Pérez
Judit Planas
Enrique S. Quintana-Ortí
机构：
[1] Barcelona Supercomputing Center (Centro Nacional de Supercomputación (BSC-CNS)),Depto. de Arquitectura de Computadores
[2] Universitat Politècnica de Catalunya,Depto. de Ingeniería y Ciencia de Computadores
[3] IIIA,undefined
[4] Artificial Intelligence Research Institute,undefined
[5] CSIC,undefined
[6] Spanish National Research Council,undefined
[7] Universidad Jaume I (UJI),undefined
来源：
International Journal of Parallel Programming | 2010年 / 38卷
关键词：
Parallel computing; Programming models; Runtime systems; Task-level parallelism; Multi-core processors; Hardware accelerators; Heterogeneous computing;
D O I：
暂无
中图分类号：
学科分类号：
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
收藏
页码：440 / 459
页数：19
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