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Technical ReportTechnical ReportTechnical ReportTechnical ReportIntel Intel Intel Intel LabsLabsLabsLabsNadathur Satish,Changkyu Kim,Jatin Chhugani,Anthony D. Nguyen,Victor W. Lee,Daehyun Kim,Pradeep DubeyThroughput Computing Lab.Fast Sort on CPUs,GPUs and Intel MICArchitecturesTechnical Report Fast Sort on CPUs, GPUs and Intel MIC ArchitecturesExecutive SummaryExecutive SummaryExecutive SummaryExecutive SummarySort is a fundamental kernel used in many database operations. In-memory sorts are
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Technical Report
Technical ReportTechnical Report
Technical Report
Intel
Intel Intel
Intel Labs
LabsLabs
Labs
Nadathur Satish,
Changkyu Kim,
Jatin Chhugani,
Anthony D. Nguyen,
Victor W. Lee,
Daehyun Kim,
Pradeep Dubey
Throughput Computing Lab.
Fast Sort on CPUs,
GPUs and Intel MIC
Architectures
Technical Report Fast Sort on CPUs, GPUs and Intel MIC Architectures
Executive Summary
Executive SummaryExecutive Summary
Executive Summary
Sort is a fundamental kernel used in many database operations. In-memory sorts are now feasible;
sort performance is limited by compute flops and main memory bandwidth rather than I/O. In [29], we
had earlier presented a competitive analysis of comparison and non-comparison based sorting
algorithms on CPUs and GPUs. In this report, we extend this comparison to the Intel Many Integrated
Core (MIC) architecture. We evaluate radix sort on Knights Ferry (an implementation of Intel MIC
architecture), obtaining a performance gain of 2.2X and 1.7X over the best sort performance on the
Intel Core i7 CPU and GTX 280 respectively. We also improve the performance of GPU radix sort by
1.6X over previous results.
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