• Title/Summary/Keyword: 하이퍼큐브

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Embedding Hypercube into Petersen-Torus(PT) Networks (하이퍼큐브를 피터슨-토러스(PT) 네트워크에 임베딩)

  • Seo, Jung-Hyun;Lee, Hyeong-Ok;Jang, Moon-Suk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.577-580
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    • 2008
  • 본 논문은 차원이 증가함에 따라 분지수가 증가하는 하이퍼큐브 연결망을 분지수가 고정인 피터슨-토러스(PT) 네트워크에 임베딩 가능함을 보였다. 하이퍼큐브 $Q_{log_2n^2+3}$을 PT(n,n)에 확장율 10/8, 연장율 1.5n+2 그리고 밀집율 4n에 임베딩 하였다. 확장율은 1에 근접하도록 사상알고리즘이 설계되었고, 밀집율과 연장율은 분지수가 증가하는 하이퍼큐브의 특성 때문에 O(n)에 비례한다.

Minimization of Communication Cost using Repeated Task Partition for Hypercube Multiprocessors (하이퍼큐브 다중컴퓨터에서 반복 타스크 분할에 의한 통신 비용 최소화)

  • Kim, Joo-Man;Yoon, Suk-Han;Lee, Cheol-Hoon
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.11
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    • pp.2823-2834
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    • 1998
  • This paper deals with the problem of one-to-one mapping of $2^n$ task modules of a parallel program to an n-dimensional hypercube multicomputer so as to minimize to total communication cost during the execution of the task. The problem of finding an optimal mapping has been proven to be NP-complete. We first propose a graph modification technique which transfers the mapping problem in a hypercube multicomputer into the problem of finding a set of maximum cutsets on a given task graph. Using the graph modification technique, we then propose a repeated mapping scheme which efficiently finds a one-to-one mapping of task modules to a hypercube multicomputer by repeatedly applying an existing bipartitioning algorithm on the modified graph. The repeated mapping scheme is shown to be highly effective on a number of test task graphs, it increasingly outperforms the greedy and recursive mapping algorithms as the number of processors increase. The proposed algorithm is shown to be very effective for regular graph, such as hypercube-isomorphic or 'almost' isomorphic graphs and meshes; it finds optimal mapping on almost all the regular task graphs considered.

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Diameter, Fault Diameter and Average Distance between Two Nodes in Z-cube Network (Z-cube 네트워크의 직경, 고장직경과 정점간 평균거리)

  • Gwon, Gyeong-Hui;Lee, Gye-Seong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.1
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    • pp.75-83
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    • 1999
  • recently, a new hypercube-like interconnection network, the Z-cube, was proposed. The Z-cube retains most good topological properties, however, its node degree is 3/4 of hypercube's one. Considering hardware implementations, the Z-cube is a good alternative to the hypercube. In this paper, we obtained the diameter, fault diameter and the average distance between two nodes to evaluate the communication performance of the Z-cube. The recursive structure, the shortest path between two nodes I Z-cube and recurrence relation on the average distance were deduced, and node disjoint path was introduced. Although it is generally expected that the communication performance in an interconnection network with reduced node degree falls as much as that, this paper shows that the Z-cube's diameter is the same as the hypercube's one and the average distance between two nodes in Z-cube is about 1.125 times the average distance between two nodes in the hypercube and the fault diameter of Z-cube ranges approximately from 1.4times to 1.7times the fault diameter of the hypercube.

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Embedding between Hypercube and HCN(n, n), HFN(n, n) (하이퍼큐브와 HCN(n, n), HFN(n, n) 사이의 임베딩)

  • Kim, Jong-Seok;Lee, Hyeong-Ok;Heo, Yeong-Nam
    • The KIPS Transactions:PartA
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    • v.9A no.2
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    • pp.191-196
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    • 2002
  • It is one of the important measures in the area of algorithm design that any interconnection network should be embedded into another interconnection network for the practical use of algorithm. A HCN(n, n), HFN(n, n) graph also has such a good properties of a hypercube and has a lower network cost than a hypercube. In this paper, we propose a method to embed between hypercube $Q_2n$ and HCN(n, n), HFN(n, n) graph. We show that hypercube $Q_2n$ can be embedded into an HCN(n, n) and KFN(n, n) with dilation 3, and average dilation is smaller than 2. Also, we has a result that the embedding cost, a HCN(n, n) and KFN(n, n) can be embedded into a hypercube, is O(n)

Hyper-Torus : A New Torus Network based on 3-dimensional Hypercube (하이퍼-토러스 : 3차원 하이퍼큐브 기반의 새로운 토러스 네트워크)

  • Ki, Woo-Seo;Kim, Jeong-Seop;Lee, Hyung-Ok;Oh, Jae-Chul
    • Journal of KIISE:Computer Systems and Theory
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    • v.36 no.3
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    • pp.158-170
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    • 2009
  • In this paper, we propose the new torus network which has the hypercube Q3 as the basic module. The proposed Hyper-torus has the degree 4, and is the network which has the scalability, and the fine diameter. If we compare the class of the torus in the viewpoint of network cost, the hyper-torus with $1.4{\sqrt{N}}$+ 16 is proved to be approximately 65% than the torus with $4{\sqrt{N}}$ and 50% than the honeycomb with $2.45{\sqrt{N}}$. This result means that hyper-torus is better for the class of the existing mesh in the viewpoint of network cost.

Analysis of Topological Properties and Embedding for Folded Hyper-Star Network (폴디드 하이퍼스타 네트워크의 성질과 임베딩 분석)

  • Kim, Jong-Seok;Cho, Chung-Ho;Lee, Hyeong-Ok
    • Journal of Korea Multimedia Society
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    • v.11 no.9
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    • pp.1227-1237
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    • 2008
  • In this paper, we analyze topological properties and embedding of Folded Hyper-Star network to further improve the network cost of Hypercube, a major interconnection network. Folded Hyper-Star network has a recursive expansion and maximal fault tolerance. The result of embedding is that Folded Hypercube $FQ_n$ and $n{\times}n$ Torus can be embedded into Folded Hyper-Star FHS(2n,n) with dilation 2. Also, we show Folded Hyper-Star FHS(2n,n) can be embedded into Folded Hypercube $FQ_{2n-1}$ with dilation 1.

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Embedding Algorithm among Folded Hypercube, Even Network and Odd Network (폴디드 하이퍼큐브와 이븐연결망, 오드연결망 사이의 임베딩 알고리즘)

  • Kim, Jong-Seok;Sim, Hyun;Lee, Hyeong-Ok
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.7
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    • pp.318-326
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    • 2008
  • In this paper, we will analyze embedding among Folded Hypercube, Even Network and Odd Network to further improve the network cost of Hypercube. We will show Folded Hypercube $FQ_n$ can be embedded into Even Network $E_{n-1}$ with dilation 2, congestion 1 and Even Network $E_d$ can be embedded into Folded Hypercube $FQ_{2d-3}$ with dilation 1. Also, we will prove Folded Hypercube $FQ_n$ can be embedded into Odd Network $O_{n-1}$ with dilation 2, congestion 1 and Odd Network $O_d$ can be embedded into Folded Hypercube $FQ_{2d-3}$ with dilation 2, congestion 1. Finally, we will show Even Network $E_d$ can be embedded into Odd Network $O_d$ with dilation 2, congestion 1 and Odd Network $O_d$ can be embedded into Folded Hypercube $E_{d-1}$ with dilation 2, congestion 1.

스타(Star) 그래프와 팬케익(Pancake) 그래프간의 임베딩

  • 민준식;이형옥
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1573-1576
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    • 2003
  • 스타 그래프와 팬케익 그래프는 하이퍼큐브가 갖는 좋은 성질을 가지면서 하이퍼큐브보다 망 비용이 적은 값을 갖는 상호연결망이다. 본 논문에서는 그래프의 에지 정의를 이용하여 스타 그래프 S/sub n/은 팬케익 그래프 P/sub n/에 연장율 4, 확장율 1에 임베딩 가능함을 보인다.

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A Diagnosis Algorithm for Hypercube Multiprocessors using Adaptive Cube Partition Method (적응적 큐브 분할을 이용한 하이퍼큐브 진단 알고리즘)

  • Choi, Moon-Ok;Rhee, Chung-Sei
    • Journal of KIISE:Computer Systems and Theory
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    • v.27 no.4
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    • pp.431-439
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    • 2000
  • In this paper, we propose a system-level diagnosis algorithm for hypercube muti-processors using adaptive cube partition method. Feng[1] proposed a diagnosis algorithm for hypercube multiprocessors which gives a better performance compared to previous researches[2, 3]. But cube partitions in Feng's algorithm are performed without syndrome analysis. Therfore unnecessery overhead is made during cube partitions. In this paper, we propose an adaptive cube partition method which gives better partition through syndrome analysis and reduces diagnosis cost. We give a simulation result for comparisons. We have found that our algorithm shows better performance compared to Feng's method.

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One-to-All and All-to-all Broadcasting Algorithms of Matrix Hypercube (매트릭스 하이퍼큐브의 일-대-다 방송과 다-대-다 방송 알고리즘)

  • Kim, Jongseok;Lee, Heongok
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.8
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    • pp.825-834
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    • 2018
  • Broadcasting is a basic data communication method for interconnection networks. There are two types of broadcasting. One-to-all broadcasting is to transmit a message from one node to all other nodes and all-to-all broadcasting is to transmit a message from all the nodes that have messages to other nodes. And by the using way of the transmission port per unit time, there are two schemes of broadcasting. Single port telecommunication(SLA) is to transmit messages from one node that contains the messages to one adjacent node only and all port telecommunication(MLA) is to transmit messages from one node to all adjacent nodes within a time of unit. Matrix hypercube is that an interconnection network has improved network cost than that of hypercube with the same number of nodes. In this paper, we analyze broadcasting scheme of matirx hypercube. First, we propose one-to-all and all-to-all broadcasting algorithms of matrix hypercube. And we prove that one-to-all broadcasting times are 2n+1 and $2{\lceil}{\frac{n}{2}}{\rceil}+1$ based on the SLA and MLA models, respectively. Also, we show all-to-all broadcasting time using SLA model is $5{\times}2^{\frac{n}{2}}-2$ when n=even, and is $5{\times}2^{\frac{n-1}{2}}+2$ when n=odd.