【24h】

Superlinear speedup for matrix multiplication

机译:矩阵乘法的超连线加速

获取原文

摘要

Amdahl has shown that multiprocessor execution performonce is not proportional to the number of processors. Gustafson has found a way to show that there are algorithms which can have almost linear speedup. In this article we have found algorithms which can achieve a superlinear speedup. The idea is not based on changing the algorithm or executing smaller number of operations like in the parallel search. It is based on characteristics of using an structure persistent algorithm which effciently exploits the cache in a shared multiprocessor and avoids cache misses as much as possible. Our experimental research shows results of superlinear speedup for algorithms which run on modern multicore and multi-chip architectures and perform beyond expectations of maximum linear speedup.
机译:Amdahl显示,多处理器执行执行执行功能与处理器数量不成比例。 Gustafson已经找到了一种方法来表明有可能具有几乎线性加速的算法。在本文中,我们找到了可以实现超级线性加速的算法。该想法不是基于改变算法或执行较少数量的操作,如并行搜索。它基于使用使用效力地利用共享多处理器中缓存的结构持久算法的特征,并尽可能避免高速缓存未命中。我们的实验研究显示了在现代多核和多芯片架构上运行的算法超级线性加速的结果,并超出了最大线性加速的预期。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号