• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Fang, Juan (Fang, Juan.) (Scholars:方娟) | Fan, Qing-Wen (Fan, Qing-Wen.) | Hao, Xiao-Ting (Hao, Xiao-Ting.) | Cai, Min (Cai, Min.) | Song, Shu-Ying (Song, Shu-Ying.) | Li, Bin (Li, Bin.)

Indexed by:

CPCI-S

Abstract:

The cache coherent non-uniform memory access (CC-NUMA) multicore architecture becomes more and more popular in the high-end servers and data-center applications. However, there is no open source full-system simulator to simulate the CC-NUMA multicore architecture; which makes difficult for us to study the performance of the CC-NUMA multicore architecture. This paper presents a method to simulate the CC-NUMA multicore architecture in the gem5 full system simulator, then analyzes the performance of multi-threaded applications in CC-NUMA multicore processors. Experimental results of the PARSEC benchmark suite verify the aforementioned method and show that the CC-NUMA multicore architecture can achieve good performance and scalability for most multithreaded programs that we tested in this paper.

Keyword:

Multicore Performance CC-NUMA Multi-threaded applications

Author Community:

  • [ 1 ] [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 2 ] [Fan, Qing-Wen]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 3 ] [Hao, Xiao-Ting]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 4 ] [Cai, Min]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 5 ] [Song, Shu-Ying]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 6 ] [Li, Bin]Chinese Acad Sci, Inst Software, Beijing, Peoples R China

Reprint Author's Address:

  • 方娟

    [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China

Show more details

Related Keywords:

Related Article:

Source :

2015 INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND INFORMATION SYSTEM (SEIS 2015)

Year: 2015

Page: 257-262

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

Online/Total:1187/10845974
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.