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9th International Parallel Processing Symposium
On generalized fat trees
Santa Barbara, CA
April 25-April 28
ISBN: 0-8186-7074-6
S.R. Ohring, Dept. of Comput. Sci., North Texas Univ., Denton, TX, USA
M. Ibel, Dept. of Comput. Sci., North Texas Univ., Denton, TX, USA
S.K. Das, Dept. of Comput. Sci., North Texas Univ., Denton, TX, USA
M.J. Kumar, Dept. of Comput. Sci., North Texas Univ., Denton, TX, USA
We introduce and analyze a new family of multiprocesser interconnection networks, called generalized fat trees, which include as special cases the fat trees used for the connection machine architecture CM-5, pruned butterflies, and various other fat trees proposed in the literature. The generalized fat trees provide a formal unifying concept to design and analyse a fat tree based architecture. The extended generalized fat tree network XGFT(h; m/sub 1/, ..., m/sub h/; w/sub 1/, ..., w/sub h/) of height h has /spl Pi//sub i=1//sup h/ m/sub i/ leaf processors and the inner nodes serve only as switches or routers. Each non-leaf node in level i has m/sub i/ children and each non-root has w/sub i+1/ parent nodes. The generalized fat trees provide regularity, symmetry, recursive scalability, maximal fault-tolerance, logarithmic diameter bisection scalability, and permit simple algorithms for fault tolerant self-routing and broadcasting. These networks are also versatile, since they can efficiently embed rings, meshes and tori, trees, pyramids and hypercubes.
Index Terms:
parallel architectures; multiprocessor interconnection networks; communication complexity; fault tolerant computing; reliability; network routing; generalized fat trees; multiprocesser interconnection networks; connection machine architecture; CM-5; pruned butterflies; fat tree based architecture; inner nodes; leaf processors; switches; routers; hypercubes; symmetry; recursive scalability; maximal fault-tolerance; logarithmic diameter bisection scalability; fault tolerant self-routing; broadcasting; rings; meshes; tori; trees; pyramids
Citation:
S.R. Ohring, M. Ibel, S.K. Das, M.J. Kumar, "On generalized fat trees," ipps, pp.37, 9th International Parallel Processing Symposium, 1995
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