Abstract :
Notice of Violation of IEEE Publication Principles
"Multi-paradigm and Multi-grain Parallel Execution Model Based on SMP-Cluster,"
by Jue Wang, Changjun Hu, Jianxin Lai, Yudi Zhao, and Suqin Zhang,
in the Proceedings of the IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, 2006 (JVA \´06) pp.266-272
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains portions of original text from the papers cited below. The original text was copied without appropriate attribution.
"Comparing the OpenMP, MPI, and Hybrid Programming Paradigm on an SMP Cluster,"
by Gabriele Jost, Haoqiang Jin, Dieter an Mey, and Ferhat F. Hatay,
in IEEE Transactions on Parallel and Distributed Systems, 10(2), February 1999In 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
Keywords :
pipeline processing; shared memory systems; Macro-Task group; Master-Slave model; OpenMP specification; SMP-Cluster; data alignment; data distribution; data parallel; data pipeline; multigrain parallel execution model; multiparadigm parallel execution model; sequential execution; task parallel; task-farming paradigm;
