内存级并行

本页使用了标题或全文手工转换
维基百科,自由的百科全书

记忆体层级平行(英语:Memory-level parallelism,缩写为 MLP'),平行计算技术的一种,是电脑架构的一种,能够同时进行数个记忆体操作,特别是在快取未命中(cache miss),或转译后备缓冲区未命中(TLB miss)时。

在单核心处理器架构下,记忆体层级平行可以被视为是一种特殊的指令层级平行(ILP)。它也经常在超纯量架构下出现。

相关条目[编辑]

参考文献[编辑]

  • "Enhancing memory level parallelism via recovery-free value prediction." H. Zhou and T. M. Conte. Proceedings of the 17th Annual International Conference on Supercomputing, ICS 2003.
  • "A Case for MLP-Aware Cache Replacement", Moinuddin K. Qureshi, Daniel N. Lynch, Onur Mutlu, Yale N. Patt. Proceedings of the 33rd annual International Symposium on Computer Architecture (ISCA), 2006.
  • "MLP-Aware Runahead Threads în a Simultaneous Multithreading Processor"(paper). Craeynest, K. Van, S. Eyerman, L. Eeckhout. Proc. of The 4th HiPEAC Int. Conf., Paphos, Cyprus, January 2009.
  • "Microarchitecture optimizations for exploiting memory-level parallelism", Yuan Chou, B. Fahs, and S. Abraham, Computer Architecture, 2004. Proceedings. 31st Annual International Symposium on 2004.
  • "Coming challenges in microarchitecture and architecture", Ronen, R.; Mendelson, A.; Lai, K.; Shih-Lien Lu; Pollack, F.; Shen, J.P. Proceedings of the IEEE Volume: 89 Issue: 3 Mar 2001
  • "MLP yes! ILP no!" (abstract页面存档备份,存于互联网档案馆) / slides页面存档备份,存于互联网档案馆)), A. Glew. In Wild and Crazy Ideas Session, 8th International Conference on Architectural Support for Programming Languages and Operating Systems, October 1998.