• Title/Summary/Keyword: Shuffle-exchange network

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Fault Tolerant Static Shuffle-Exchange Network (결함 포용 정적 Shuffle-Exchange 네트워크)

  • Choi Hong In
    • Journal of KIISE:Computer Systems and Theory
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    • v.30 no.3_4
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    • pp.160-167
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    • 2003
  • A static shuffle-exchange network is not only useful for several parallel applications but also use less hardware than the popular multi-stage network or hypercube. Even though it has a lot of advantages, it has never been used in any implemented parallel machine. One of the reasons is there has not been any techniques to make the network fault-tolerant. In this paper multiple fault-tolerant static shuffle-exchange networks are presented. In order to recover from k faulty processing elements, a network needs at least 2 k additional processing elements and at most 4 k additional shuffle ports for each processing elements. By decomposing the k fault-tolerant static shuffle-exchange network into m identical modules, this paper shows that the reliability of the network can be increased.

Design of a Partitionable Single-Stage Shuffle-Exchange Network (분할 가능한 단단계(Single-Stage) Shuffle-Exchange 네트워크의 설계)

  • Lee, Jae-Dong
    • Journal of KIISE:Computer Systems and Theory
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    • v.30 no.3_4
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    • pp.130-137
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    • 2003
  • This paper presents the problem of partitioning the Single-Stage Shuffle-Exchange Network(SSEN). An algorithm, named SSEN_to_PSEN, is devised to transform an SSEN into a Partitionable Shuffle-Exchange Network (PSEN). The proposed algorithm presents that the SSEN can be partitioned into independent sub-networks without additional links for N $\leq$ 8. Additional links are needed in order to partition an SSEN, but only when N $\geq$ 16. The running time of the algorithm SSEN_to_PSEN is $\theta$(NlogN). By comparing with a hypercube network, the PSEN is less expensive than a hypercube network even when some additional links are added. By partitioning, a large PSEN in a massively parallel machine can compute various problems for multiple users simultaneously, thereby the processing efficiency of the machine is improved.

Rearrangeability of Reverse Shuffle / Exchange Networks (역 셔플익스체인지 네트워크의 재정돈성)

  • Park, Byoung-Soo
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.7
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    • pp.1842-1850
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    • 1997
  • This paper proposes a new rearrangeable algorithm in multistage reverse shuffle/exchange network. The best known lower bound of stages for rearrangeability in symmetric network is 2logN-1 stages. However, it has never been proved for nonsymmetric networks before. Currently, the best upper bound for the rearrangeability of a shuffle/exchange network in nonsymmetric network is 3logN-3 stages. We describe the rearrangeability of reverse shuffle/exchange multistage interconnection network on every arbitrary permutation with $N{\le}16$. This rearrangeability can be established by setting one more stages in the middle stage of the network to allow the reduced network to be topological equivalent to a class of rearrangeable networks. The results in this paper enable us to establish an upper bound, 2logN stages for rearrangeable reverse shuffle/exchange network with $N{\le}16$, and leads to the possibility of this bound when $N{\le}16$.

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Recirculating Shuffle-Exchange Interconnection ATM Switching Network Based on a Priority Control Algorithm (우선순위 제어기법을 기반으로 한 재순환 Shuffle-Exchage 상호연결 ATM 스위치)

  • Park, Byeong-Su
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.6
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    • pp.1949-1955
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    • 2000
  • This paper proposes a multistage interconnection ATM switching network without internal blocking. The first is recirculating shuffle-exchange network improved on hardware complexity. The next is connected to Rank network with tree structure. In this network, after the packets transferred to the same output ports are given each priority, only a packet with highest priority is sent to the next, an the others are recirculated to the first. Rearrangeability through decomposition and composition algorithm is applied for the transferred packets in hanyan network and all they arrive at a final destinations. To analyze throughput, waiting time and packet loss ratio according tothe size of buffer, the probabilities are modeled by a binomial distribution of packet arrival.

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Connectivity Evaluation for a Class of Fault-tolerant Shuffle Exchange Networks (고장감내형 셔플위치망의 연결성 평가)

  • 윤상흠;고재상
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.10B
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    • pp.1807-1814
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    • 1999
  • This paper considers connectivity-related reliability measures for a class of fault-tolerant shuffle exchange networks to characterize the degrading features over time in the presence of faulty switching elements. The mean number of connected input/output pairs, the mean number of survivable input are considered as connectivity measures. The measures for the unique-path shuffle exchange network(SEN) and its two fault-tolerant variants, extra-stage SEN(SEN+) and INDRA network are derived analytically, and then are compared with numerical experiments.

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Design of ATM Switch-based on a Priority Control Algorithm (우선순위 알고리즘을 적용한 상호연결 망 구조의 ATM 스위치 설계)

  • Cho Tae-Kyung;Cho Dong-Uook;Park Byoung-Soo
    • The Journal of the Korea Contents Association
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    • v.4 no.4
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    • pp.189-196
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    • 2004
  • Most of the recent researches for ATM switches have been based on multistage interconnection network known as regularity and self-routing property. These networks can switch packets simultaneously and in parallel. However, they are blocking networks in the sense that packet is capable of collision with each other Mainly Banyan network have been used for structure. There are several ways to reduce the blocking or to increase the throughput of banyan-type switches: increasing the internal link speeds, placing buffers in each switching node, using multiple path, distributing the load evenly in front of the banyan network and so on. Therefore, this paper proposes the use of recirculating shuffle-exchange network to reduce the blocking and to improve hardware complexity. This structures are recirculating shuffle-exchange network as simplified in hardware complexity and Rank network with tree structure which send only a packet with highest priority to the next network, and recirculate the others to the previous network. after it decides priority number on the Packets transferred to the same destination, The transferred Packets into banyan network use the function of self routing through decomposition and composition algorithm and all they arrive at final destinations. To analyze throughput, waiting time and packet loss ratio according to the size of buffer, the probabilities are modeled by a binomial distribution of packet arrival. If it is 50 percentage of load, the size of buffer is more than 15. It means the acceptable packet loss ratio. Therefore, this paper simplify the hardware complexity as use of recirculating shuffle-exchange network instead of bitonic sorter.

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O(logN) Depth Routing Structure Based on truncated Concentrators (잘림구조 집중기에 기초한 O(logN) 깊이의 라우팅 구조)

  • Lee, Jong-Keuk
    • Proceedings of the Korea Multimedia Society Conference
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    • 1998.04a
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    • pp.366-370
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    • 1998
  • One major limitation of the efficiency of parallel computer designs has been the prohibitively high cost of parallel communication between processors and memories. Linear order concentrators can be used to build theoretically optimal interconnection schemes. Current designs call for building superconcentrators from concentrators, then using these to recursively partition the connection streams O(log2N) times to achieve point-to-point routing. Since the superconcentrators each have O(N) hardware complexity but O(log2N) depth, the resulting networks are optimal in hardware, but they are of O(log2N) depth. This pepth is not better than the O(log2N) depth Bitonic sorting networks, which can be implemented on the O(N) shuffle-exchange network with message passing. This paper introduces a new method of constructing networks using linear order concentrators and expanders, which can be used to build interconnection networks with O(log2N) depth as well as O(Nlog2N) hardware cost. (All logarithms are in base 2 throughout paper)

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