- 作者：Wenzhu Wang ; wenzhuw@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yusong TanAuthor Vitae ; Qingbo WuAuthor Vitae ; Yaoxue ZhangAuthor Vitae
- 关键词：MapReduce ; Many Integrated Core ; SIMD ; Phoenix++ ; Hadoop
- 刊名：Journal of Parallel and Distributed Computing
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：93-94
- 期：Complete
- 页码：120-131
- 全文大小：1184 K
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Two-level split and SIMD friendly map is developed to utilize the VPUs on MIC.
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Heterogeneous pipelined reduce improves the efficiency of resources utilization.
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We design two types of buffer for storing class="mathmlsrc">class="formulatext stixSupport mathImg" data-mathURL="/science?_ob=MathURL&_method=retrieve&_eid=1-s2.0-S0743731516300132&_mathId=si1.gif&_user=111111111&_pii=S0743731516300132&_rdoc=1&_issn=07437315&md5=6b7adbbfa8ed42575fb68db60258b472" title="Click to view the MathML source"><class="mathContainer hidden">class="mathCode">key, valueclass="mathmlsrc">class="formulatext stixSupport mathImg" data-mathURL="/science?_ob=MathURL&_method=retrieve&_eid=1-s2.0-S0743731516300132&_mathId=si2.gif&_user=111111111&_pii=S0743731516300132&_rdoc=1&_issn=07437315&md5=90b139e4a3727f3badf2013c2e755877" title="Click to view the MathML source">>class="mathContainer hidden">class="mathCode"> pairs in MIC memory.
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Two optimization techniques: SIMD hash algorithm and asynchronous task transfer.
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micMR is also integrated into the cluster environment.