首页> 外文会议>International conference on parallel and distributed processing techniques and applications >The Pancake-Hypercube Hybrid Network: A promising design feasible for VLSI implementations
【24h】

The Pancake-Hypercube Hybrid Network: A promising design feasible for VLSI implementations

机译:Pancake-HyperCube混合网络:VLSI实现可行的有希望的设计

获取原文
获取外文期刊封面目录资料

摘要

Symmetric graphs, such as the hypercube, the star, and the pancake have been widely used as processor/communication interconnection networks. The hypercube has been recognized as the ideal structure for parallel computing. However, the implementation feasibility of the hypercube remains questionable when it comes to VLSI layout design for a large size cube-based system. The star and pancake networks were proposed recently as attractive alternatives to the popular hypercube for interconnecting processors on a parallel computer. Both the star and the pancake were shown having many desirable properties of the hypercube, and in several important aspects, they are better than the hypercube. Unfortunately, both the star and pancake networks have many serious disadvantages comparing with the hypercube. In this paper, we propose a class of new networks, the pancake-hypercube hybrid network (or PH networks). The PH network is constructed by combining both the hypercube and the pancake graphs so that it remedies several major disadvantages of the hypercube and pancake graph. This new class of networks provide more flexibility in choosing the size, degree, diameter, fault tolerance, and many other properties when designing massively parallel computing structures feasible for VLSI implementations.
机译:对称图(例如HyperCube,星形和煎饼)已被广泛用作处理器/通信互连网络。 HyperCube被认为是平行计算的理想结构。但是,在大尺寸立方体系统的VLSI布局设计方面,HyperCube的实施可行性仍然是值得怀疑的。最近提出了明星和煎饼网络,作为流行的HyperCube的有吸引力的替代方案,用于在并行计算机上互连处理器。恒星和煎饼均显示出具有多种级别的许多理想性质,并且在几个重要方面,它们比Hypercube更好。不幸的是,与超立方体相比,星星和煎饼网络都有许多严重的缺点。在本文中,我们提出了一类新的网络,煎饼超型混合网络(或pH网络)。通过组合HyperCube和煎饼图来构建pH网络,使其解决了Hypercube和煎饼图的若干主要缺点。当设计用于VLSI实现的大规模并行计算结构时,这类新的网络在选择尺寸,度,直径,容错以及许多其他属性方面提供了更大的灵活性。

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