Title :
Power and performance analysis of the Graph 500 benchmark on the Single-chip Cloud Computer
Author :
Zhiquan Lai ; King Tin Lam ; Cho-Li Wang ; Jinshu Su
Author_Institution :
Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
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.
Keywords :
cloud computing; parallel processing; software architecture; software performance evaluation; storage management; Graph 500 benchmark; HPC systems; SPM; custom-made shared virtual memory programming library; data-intensive workloads; data-parallel implementation; dynamic power management; energy awareness; high-performance computing; memory sharing; multidomain on-chip DVFS support; non-coherent many-core architecture; performance analysis; power analysis; shared physical memory; single-chip cloud computer; Benchmark testing; Computational modeling; Computer architecture; Kernel; Power measurement; Programming; Runtime; DVFS; Graph 500; data-intensive computing; many-core computing; performance analysis; power efficiency;
Conference_Titel :
Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on
Print_ISBN :
978-1-4799-4765-2
DOI :
10.1109/CCIOT.2014.7062496