文章基本信息

标题：Performance Evaluation of Collective Communication Based Matrix Multiplication Algorithm on Cluster
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作者：Gaurav Gupta ; O.P. Gupta ; B.K. Sawhney 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：318-321
语种：English
出版社：Ayushmaan Technologies
摘要：In today’s era of scientific computing and technology, there is a shift in trend of data processing from conventional processing towards parallel processing. The technique of computing of multiple tasks simultaneously on multiple processors is called Parallel Computing. The parallel program consists of multiple processes solving a given problem simultaneously. Parallel computers can be roughly classified as Multi-Processor and Multi-Core. In both these classifications the hardware supports parallelism within single node where each node can have multiple processing elements either in single chip pack or in distinct chips. Parallel hardware design employs array processors, pipelined systems which can be further extended to scalar and super scalar pipelined systems.
关键词：Cluster Computing;Collective Communication;High performance Computing (HPC);Infiniband;Parallel Computing;Grid Computing