Multi-paradigm and multi-grain parallel execution model based on SMP-cluster

被引：0

作者：

Wang, Jue ^{[1
]}

Hu, Changjun ^{[1
]}

Lai, Jianxin ^{[2
]}

Zhao, Yudi ^{[2
]}

Zhang, Suqin ^{[2
]}

机构：

[1] Univ Sci & Technol Beijing, Informat Engn Sch, Beijing 100083, Peoples R China

[2] Tsinghua Univ, Comp Sci & Technol Dept, Beijing 100084, Peoples R China

来源：

IEEE JOHN VINCENT ATANASOFF 2006 INTERNATIONAL SYMPOSIUM ON MODERN COMPUTING, PROCEEDINGS | 2006年

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we propose a multi-paradigm and multi-grain parallel execution model based on SMP-Cluster, which integrates coarse grain, mid grain and fine grain parallelism. Multiple paradigms supported by our model include task parallel, data parallel, sequential execution, data pipeline and task-farming paradigm. It can be achieved by extending the OpenMP specification, and the extensions include directives for computing resource partition, data distribution and alignment, sequential execution and data pipeline, and functions for Master/Slave model in Macro-Task group. We also compare the performance of different implementations of three benchmark applications, using the same numerical algorithm but employing different programming approaches.

引用

页码：266 / +

页数：2

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