首页> 外文会议>10th International Conferences on High Performance Computing (HiPC 2003); Dec 17-20, 2003; Hyderabad, India >Mapping Hypercube Computations onto Partitioned Optical Passive Star Networks
【24h】

Mapping Hypercube Computations onto Partitioned Optical Passive Star Networks

机译:将Hypercube计算映射到分区光无源星形网络上

获取原文
获取原文并翻译 | 示例

摘要

This paper shows that an n = 2~k processor Partitioned Optical Passive Stars (POPS) network with g groups and d processors per group can simulate either a mono-directional move of an n processor hy-percube or a bi-directional move of an n/2 processor hypercube using one slot when d = 1 and [d/g] slots when d > 1. Moreover, as a direct application of the simulation, it is shown how a POPS(d,g) network, n = dg and d ≤ g, can compute the prefix sums of n data values in Iog_2 n + O(1) slots, faster than the best previously known ad-hoc algorithm for this problem.
机译:本文显示了一个n = 2〜k处理器的分区光无源之星(POPS)网络,其中有g个组,每组d个处理器,可以模拟n个处理器超立方体的单向运动或一个n处理器超立方体的双向运动。 n / 2个处理器超立方体,当d = 1时使用一个插槽,当d> 1时使用[d / g]插槽。此外,作为模拟的直接应用,它显示了POPS(d,g)网络如何n = dg且d≤g,可以计算Iog_2 n + O(1)时隙中的n个数据值的前缀和,比以前针对此问题的最佳自组织算法更快。

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