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For many parallel applications on distributed memory systems, array re-decomposition is usually required to enhance data locality and reduce the communication overheads. How to effectively schedule messages to improve the performance of array re-decomposition has received much attention in recent years. This paper is devoted to develop efficient scheduling algorithms using the compiling information...
Notice of Violation of IEEE Publication Principles"A New Parallel Gauss-Seidel Method by Iteration Space Alternate Tiling,"by Changjun Hu, Jilin Zhang, Jue Wang, Jianjiang Li, and Liang Ding,in the Proceedings of the 16th International Conference on Parallel Architecture and Compilation Techniques, 2007 (PACT 2007) pp.410After careful and considered review of the content and authorship of...
Many important scientific kernels compute solutions using finite difference techniques, and the most time consuming part of them is the iterative method, such as Gauss-Seidel or SOR. To improve performance, iterative method can exploit parallelism, intra-iteration data reuse, and inter-iteration data reuse. This paper describes a new parallel Gauss-Seidel method using iteration space alternate tiling...
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...
Irregular computing significantly influences the performance of large scale parallel applications. How to generate local memory access sequence and communication set efficiently for irregular parallel application is an important issue in compiling a data parallel language into a single program multiple data (SPMD) code for distributed-memory machines. In this paper, we propose a hybrid approach, which...
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