| 摘要: |
| 从应用的角度建立了评价大规模问题数据并行处理性能的模型,分析了区域的不同划分对解整个问题算法的收敛速度有影响时的并行性能,进而就操作重叠、数据规模以及算法选取等几个方面的问题对大规模数据并行性能所产生的影响进行了分析.最后，给出的例子证明了模型的有效性. |
| 关键词: 数据并行,并行处理,性能分析,加速比. |
| DOI： |
| 分类号: |
| 基金项目:本文研究得到国家自然科学基金(No.69933020)和国家重点基础研究发展规划基金(No.G1999032702)资助. |
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| Performance Analysis for Massive Problem Data Parallel Computing |
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SHU Ji-wu,ZHENG Wei-min,SHEN Mei-ming,WANG Dong-sheng
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| Abstract: |
| In this paper, from application viewpoint, a model for enhancing parallel computing performance is established. The performance of parallel computing is analyzed when different domain divisions affect convergence speed in solving the whole problem. In addition, the major factors affecting the performance of massive data parallel computing are analyzed, such as overlapping operation,the problem data size and selective algorithm. Finally some computational examples provide evidence for the usefulness of the model. |
| Key words: Data parallelism, parallel processing, performance analysis, speedup. |
