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- W2082399476 abstract "ABSTRACT Hierarchical Folded HyperStar Network has lower network cost than HCN(n,n) and HFN(n,n) which are hierarchical networks with the same number of nodes. In this paper, we analyze embedding between Hierarchical Folded HyperStar HFH(C n ,C n ) and Hypercube, HCN(n,n), HFN(n,n). The results of embedding are that HCN(n,n), HFN(n,n) and Hypercube Q 2 n can be embedded into HFH(C n ,C n ) with expansion and dilation 2, 3, and 4, respectively. Also, HFH(C n ,C n ) can be embedded into HFN(2n,2n) with dilation 1. These results mean so many developed algorithms in Hypercube, HCN(n,n), HFN(n,n) can be used efficiently in HFH(C n ,C n ).Keywords:Interconnection Network, Folded Hyperstar Network, Embedding, Dilation, Algorithm 1. 서 론 1) 대규모 병렬처리 시스템에서 공학과 과학 분야의 다양한 응용분야 알고리즘을 효율적으로 수용하고, 병렬처리 시스템이 좋은 성능을 발휘하기 위해서는 시스템을 구성하는 프로세서를 연결하는 상호연결망(interconnection network)의 역할이 매우 중요하다. 지금까지 병렬처리 시스템을 위한 상호연결망으로 노드 개수를 기준으로 분류하면 토러스(torus) 부류, 하이퍼큐브(hypercube) 부류, 하이퍼스타 부류, 스타(star)그래프 부류 등이 제안되었다. 상호연결망을 평가하는 척도는 분지수(degree), 대칭성(symmetric), 확장" @default.
- W2082399476 created "2016-06-24" @default.
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- W2082399476 date "2009-08-31" @default.
- W2082399476 modified "2023-09-24" @default.
- W2082399476 title "Embedding Algorithms of Hierarchical Folded HyperStar Network" @default.
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- W2082399476 doi "https://doi.org/10.3745/kipsta.2009.16-a.4.299" @default.
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