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PhiBench 2.0: characterizing data analytics workloads on Intel Knights Landing

《高技术通讯:英文版》2019年 第2期 | 解壁伟 Zhan Jianfeng Wang Lei Zhang Lixin   Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 P.R.China University of Chinese Academy of Sciences Beijing 100049 P.R.China
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摘 要:With high computational capacity, e.g. many-core and wide floating point SIMD units, Intel Xeon Phi shows promising prospect to accelerate high-performance computing(HPC) applications. But the application of Intel Xeon Phi on data analytics workloads in data center is still an open question. Phibench 2.0 is built for the latest generation of Intel Xeon Phi(KNL, Knights Landing), based on the prior work PhiBench(also named BigDataBench-Phi), which is designed for the former generation of Intel Xeon Phi(KNC, Knights Corner). Workloads of PhiBench 2.0 are delicately chosen based on BigdataBench 4.0 and PhiBench 1.0. Other than that, these workloads are well optimized on KNL, and run on real-world datasets to evaluate their performance and scalability. Further, the microarchitecture-level characteristics including CPI, cache behavior, vectorization intensity, and branch prediction efficiency are analyzed and the impact of affinity and scheduling policy on performance are investigated. It is believed that the observations would help other researchers working on Intel Xeon Phi and data analytics workloads.
【分 类】【自然科学总论】
【关键词】 INTEL XEON Phi data ANALYTICS WORKLOADS characterization Knights Landing(KNL) many core x86 PROCESSORS
【出 处】 《高技术通讯:英文版》2019年 第2期 121-128页 共8页
【收 录】 中文科技期刊数据库