On the design of scalable pipelined broadcasting for mesh networks

Al-Dubai, Ahmed and Ould-Khaoua, Mohamed (2002) On the design of scalable pipelined broadcasting for mesh networks. In: High Performance Computing Systems and Applications. IEEE Computer Society Press, pp. 98-105. ISBN 0-7695-1626-2

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Minimising the communication latency and achieving considerable scalability are of paramount importance when designing high performance broadcast algorithms. Many algorithms for wormhole-switched meshes have been widely reported in the literature. However, most of these algorithms handle broadcast in a sequential manner and do not scale well with the network size. As a consequence, many parallel applications cannot be efficiently supported using existing algorithms. Motivated by these observations, this paper presents a new broadcast algorithm for the all-port mesh networks. The unique feature of the proposed algorithm is its capability of handling broadcast in only one message-passing step irrespective of the network size. Results from a comparative analysis and simulation reveal that the proposed algorithm exhibits superior performance characteristics over those of the well-known Recursive Doubling, Extending Dominating Node and Network Partitioning algorithms

Item Type: Book Section
ISBN: 0-7695-1626-2
Additional Information: Presented at 16th International Symposium on High Performance Computing Systems and Applications (HPCS'02),Moncton, New Brunswick, Canada, June 17-19, 2002
Uncontrolled Keywords: multiprocessor interconnection networks; parallel algorithms; pipeline processing; all-port mesh networks; broadcast algorithm; communication latency; message-passing parallel algorithms; scalability;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science > 004.2 Systems analysis, design & performance
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
Item ID: 3563
Depositing User: Computing Research
Date Deposited: 15 Dec 2009 12:19
Last Modified: 28 Jan 2014 14:19

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