Power and Performance Analysis of the Graph 500 Benchmark on the Single-chip Cloud Computer
The concerns of data-intensiveness and energy awareness are actively reshaping the design of high-performance computing(HPC)systems nowadays.The Graph500 is a widely adopted benchmark for evaluating the performance of computing systems for data-intensive workloads.In this paper,we introduce a data-parallel implementation of Graph500 on the Intel Single-chip Cloud Computer(SCC).The SCC features a non-coherent many-core architecture and multi-domain on-chip DVFS support for dynamic power management.With our custom-made shared virtual memory programming library,memory sharing among threads is done efficiently via the shared physical memory(SPM)while the library has taken care of the coherence.We conduct an in-depth study on the power and performance characteristics of the Graph500 workloads running on this system with varying system scales and power states.Our experimental results are insightful for the design of energy-efficient many-core systems for data-intensive applications.
performance analysis power efficiency DVFS Graph 500 data-intensive computing many-core computing
Zhiquan Lai King Tin Lam Cho-Li Wang Jinshu Su
College of Computer,National University of Defense Technology,Changsha,China Department of Computer Science,The University of Hong Kong,Hong Kong,China National Key Laboratory of Parallel and Distributed Processing(PDL),Changsha,China;College of Comput
国际会议
2014 International Conference on Cloud Computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)
长春
英文
9-13
2014-12-13（万方平台首次上网日期，不代表论文的发表时间）