期刊文献+

多核处理器体系结构软件仿真技术:研究综述 被引量:3

Multi-core Architecture Simulation:A Survey
下载PDF
导出
摘要 由于单核处理器的处理能力已经接近极限,很难再有提高,人们将目光投向了多核处理器体系结构。在处理器体系结构的设计中,体系结构软件仿真技术是最重要的一个方面。本文首先介绍处理器体系结构仿真技术的概念、分类、目的和意义,然后讨论多核处理器体系结构仿真技术的现状和面临的问题;分析了多核处理器软件仿真技术的复杂性;比较和分析了当前主流技术的优缺点。由于多核处理器体系结构的研究处于初期阶段,因此多核处理器体系结构仿真领域面临着诸多挑战和机遇。本文最后指出了多核处理器体系结构软件仿真技术今后的研究方向。 Since it is very difficult to promote the throughput of a single-core processor nowadays, the multi-core processor architecture is paid much attention to by computer architects, In processor architecture design, the most important activity is to use software to simulate the processor architecture. This paper firstly introduces the concepts, classification, purpose and advantages of architecture simulation. Then it tries to analyze the complexity of multi-core architecture simulation. After that, the advantages and disadvantages of some major popular simulation techniques are described in this paper. As the research of multi-core processor is still in its infant stage, there are a lot of challenges in multi-core simulation area Therefore, the future promising research directions are also discussed in the last part of the paper.
作者 喻之斌 金海
出处 《计算机科学》 CSCD 北大核心 2007年第10期8-13,共6页 Computer Science
关键词 多核处理器 体系结构 仿真技术 Multi-core processor, Architecture, Simulation technology
  • 相关文献

参考文献34

  • 1Neil V,Matthew I,Chinmay A,et al.Chip Multi-Processor Scalability for Single-Threaded Applications.ACM SIGARCH Computer Architecture News,2005,33(4):44-53
  • 2Todd M A. A User's and Hacker's Guide to the SimpleScalar Architectural Research Tool Set. Intel MicroComputer Research Labs, 1997
  • 3Lizy K J. Performance Evaluation: Techniques, Tools and Benchmarks. http://lca.ece. utexas.edu/pubs-by-type.html#article
  • 4Stephen R G, John L H. The Accuracy of Trace-Driven Simulations of Multiprocessors: [Technical Report]. CSL-TR-92-546. Computer Systems Laboratory, Department of Electrical Engineering and Computer Science, Stanford University, 1992
  • 5Dwarkadas S, Jump R J, Sinclair B J. Execution-Driven Simulation of Multiprocessors: Address and Timing Analysis. ACM Transactions on Modeling and Computer Simulation, 1994,4(4): 314-338
  • 6Joshua L K, Daniel A C. Statistical Simulation of Multithreaded Architectures. In: Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS'2005)
  • 7Erez P, Greg H, et al. Using SimPoint for Accurate and Efficient Simulation. In: ACM SIGMETRICS' 03, San Diego, California, USA, June 2003
  • 8Matthew C C, Alan D G. Parallel Simulation of Chip-Multiprocessor Architectures. In: High Performance Computing and Simulation (HCS) Research Laboratory, Department of Electrical and Computer Engineering, University of Florida, 2002
  • 9Joshua J Y, David J L, et al. Improving Computer Architecture Simulation Methodology by Adding Statistical Rigor. IEEE Transactions on Computers, 2005,54 (11 )
  • 10http://www. cs. wisc. edu/arch/www/tools. html

同被引文献23

  • 1Lin Y,Preiss B R.Optimal memory management for time warp parallel simulation[J].ACM Transactions on Modeling and Computer Simulation,1991(4):283-307.
  • 2Chandy K M,Misra J.Distributed siroulation:A case study in design and verification of distributed programs[J].IEEE Transactions on Software Engineering,1979,5(5):440-452.
  • 3Dickens P M,Heidelberger P,Nicol D M.A distributed memory lapse:Parallel simulation of messng-epassing programs[J].SIGSIM Simul Dig,1994,24(1):32-38.
  • 4Bagrodia R,Deelman E,Docy S,et al.Pedormance prediction of large parallel applications using parallel siroulations[C]//ACM SIGPLAN Symposiumon Principles and Practice of Parallel Programming (PPOPP),1999-05.
  • 5Prakash S,Bagrodia R L.Mpi-sim:Using parallel simulation to evaluate mpi programs[C]//Proceedings of IEEE Winter Simulation Conference,1998.
  • 6Jefferson D R.Virtual time[J].ACM Transactions on Programming Langunges and Systems,1985,7(3):404-425.
  • 7Wilmarth T L.POSE:Scalable goneral-purposc parallel discrete event simulation[D].Department of Computer Science,University of Illinois at Urbana-Champaign,2005.
  • 8charm++ website[EB/OL].http://charm.cs.uiuc.edu.
  • 9Blome J, Vachharajani M, et al. The Liberty Simulation Environment. ASPLOS XI Tutorial, 2004. 10.
  • 10Vachharajani M, Vachharajani N, et al. The Liberty Simulation Environment: A Deliberate Approach to High-level System Modeling. ACM Transactions on Computer Systems, 2006, 24 (3) 211-249.

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部