• Title/Summary/Keyword: petersen-torus

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Petersen-Torus(PT) Network for Multicomputing System (멀티컴퓨팅 시스템을 위한 피터슨-토러스(PT) 네트워크)

  • Seo, Jung-Hyun;Lee, Hyeong-Ok;Jang, Moon-Suk
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.6
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    • pp.263-272
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    • 2008
  • We propose and analyze a new interconnection network, called petersen-torus(PT) network based on well-known petersen graph. PT network has a smaller diameter and a smaller network cost than honeycomb torus with same number of nodes. In this paper, we propose optimal routing algorithm and hamiltonian cycle algorithm. We derive diameter, network cost and bisection width.

One-to-All Broadcasting in Petersen-Torus Networks for SLA and MLA Models

  • Seo, Jung-Hyun;Lee, Hyeong-Ok
    • ETRI Journal
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    • v.31 no.3
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    • pp.327-329
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    • 2009
  • In a network, broadcasting is the dissemination of a message from a source node holding a message to all the remaining nodes through a call. This letter proposes a one-to-all broadcasting algorithm in the Petersen-torus network PT(n, n) for the single-link-available and multiple-link-available models. A PT(n, n) is a regular network whose degree is 4 and number of nodes is $10n^2$, where the Petersen graph is set as a basic module, and the basic module is connected in the form of a torus. A broadcasting algorithm is developed using a divide-and-conquer technique, and the time complexity of the proposed algorithm approximates n+4, the diameter of PT(n, n), which is the lower bound of the time complexity of broadcasting.

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Embedding Mesh-Like Networks into Petersen-Torus(PT) Networks (메쉬 부류 네트워크를 피터슨-토러스(PT) 네트워크에 임베딩)

  • Seo, Jung-Hyun;Lee, Hyeong-Ok;Jang, Moon-Suk
    • The KIPS Transactions:PartA
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    • v.15A no.4
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    • pp.189-198
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    • 2008
  • In this paper, we prove mesh-like networks can be embedded into Petersen-Torus(PT) networks. Once interconnection network G is embedded in H, the parallel algorithm designed in Gcan be applied to interconnection network H. The torus is embedded into PT with dilation 5, link congestion 5 and expansion 1 using one-to-one embedding. The honeycomb mesh is embedded into PT with dilation 5, link congestion 2 and expansion 5/3 using one-to-one embedding. Additional, We derive average dilation. The embedding algorithm could be available in both wormhole routing system and store-and-forward routing system by embedding the generally known Torus and honeycomb mesh networks into PT at 5 or less of dilation and congestion, and the processor throughput could be minimized at simulation through one-to-one.

Embedding Hyper Petersen into Petersen-Torus(PT) Networks (하이퍼 피터슨을 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.581-584
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    • 2008
  • 본 논문은 피터슨 그래프를 기반으로 설계된 노드수가 증가함에 따라 분지수가 증가하는 하이퍼 피터슨을 분지수가 고정인 피터슨-토러스(PT) 네트워크에 임베딩 가능함을 보인다. 하이퍼 피터슨 $HP_{log_2n^2+3}$을 PT(n,n)에 확장율 1, 연장율 1.5n+2 그리고 밀집율 5n에 임베딩 하였다.

Embedding Complete binary trees, Hypercube and Hyperpetersen Networks into Petersen-Torus(PT) Networks (정이진트리, 하이퍼큐브 및 하이퍼피터슨 네트워크를 피터슨-토러스(PT) 네트워크에 임베딩)

  • Seo, Jung-Hyun;Lee, Hyeong-Ok;Jang, Moon-Suk
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.8
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    • pp.361-371
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    • 2008
  • In this paper, the hypercube, hyperpetersen networks, whose degree is increasing in accordance with expansion of number of node and complete binary tree are one-to-one embedded into peterson-torus(PT) network which has fixed degree. The one-to-one embedding has less risk of overload or idle for the processor comparative to one-to-many and many-to-one embedding. For the algorithms which were developed on hypercube or hyperpetersen are used for PT network, it is one-to one embedded at expansion ${\doteqdot}1$, dilation 1.5n+2 and link congestion O(n) not to generate large numbers of idle processor. The complete binary tree is embedded into PT network with link congestion =1, expansion ${\doteqdot}5$ and dilation O(n) to avoid the bottleneck at the wormhole routing system which is not affected by the path length.

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

  • Seo, Jung-Hyun;Lee, Hyeong-Ok;Jang, Moon-Suk;Han, Soon-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.573-576
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    • 2008
  • 본 논문은 분지수가 상수인 토러스를 피터슨-토러스 네트워크에 임베딩 가능함을 보인다. 토러스 T(5m, 2n)는 PT(m, n)에 연장율 5, 밀집율 5 그리고 확장율 1에 임베딩 가능함을 보였다. 추가로 토러스를 PT에 평균 연장율 3이하에 임베딩 가능함을 보였다. 널리 알려진 토러스 네트워크를 연장율과 밀집율을 5이하에 PT에 임베딩 함으로써 웜홀 라우팅 방식과 store-and-forward 방식 모두에서 임베딩 알고리즘이 사용 가능하고, 일대일 임베딩을 함으로써 시뮬레이션시 프로세서 작업 처리량을 최소화 하였다.

Embedding Full Binary Trees into Petersen-Torus(PT) Networks (정이진트리를 피터슨-토러스(PT) 네트워크에 임베딩)

  • Seo, Jung-Hyun;Lee, Hyeong-Ok;Jang, Moon-Suk;Han, Soon-Hee
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06b
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    • pp.580-583
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    • 2008
  • 본 논문은 정이진트리(full binary tree)를 PT 네트워크에 임베딩 가능함을 보인다. 메쉬 네트워크에 H-트리을 생성하는 방법을 응용하여 밀집을 1, 확장율 ${\doteqdot}5$ 그리고 연장율 $\frac{3(n+1)}{4}+1$에 일대일 임베딩 하였다. 밀집을 1에 임베딩 함으로써 store-and-forward 라우팅 방식과 윔홀 라우팅 방식에 적합하며 일대일 임베딩 함으로써 프로세서의 부하를 줄였다.

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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.