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- W1829171354 abstract "A programming methodology based on tensor products has been used for designing and implementing block recursive algorithms for parallel and vector multiprocessors. A previous tensor product formulation of Strassen's matrix multiplication algorithm requires working arrays of size O(7/sup n/) for multiplying 2/sup n/*2/sup n/ matrices. The authors present a modified tensor product formulation of Strassen's algorithm in which the size of working arrays can be reduced to O(4/sup n/). The modified formulation exhibits sufficient parallel and vector operations for efficient implementation. Performance results on the Cray Y-MP are presented. >" @default.
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- W1829171354 date "2002-12-31" @default.
- W1829171354 modified "2023-09-24" @default.
- W1829171354 title "A tensor product formulation of Strassen's matrix multiplication algorithm with memory reduction" @default.
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- W1829171354 doi "https://doi.org/10.1109/ipps.1993.262814" @default.
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