C.C. Douglas, M. Heroux, G. Slishman, and R.M. Smith. GEMMV: A Portable Level 3 BLAS Winograd Variant of Strassen's Matrix-Matrix Multiply Algorithm. J. Comp. Physics, 110:1--10, 1994.

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This paper is cited in the following contexts:
GEMM-Based Level 3 BLAS: High-Performance Model.. - Kågström, Ling, Van Loan (1995)   (9 citations)  (Correct)

....(GEMV) Morover, the GEMM based approach provides possibilities to invoke parallelism, for example, by using parallel versions of the underlying routines. It is also possible to create a level 3 BLAS library based on fast algorithms for the GEMM operation, e.g. Strassen s or Winograd s algorithms [25, 26, 15, 11]. Our contribution is two fold. First, the model implementations in Fortran 77 of the GEMM based level 3 BLAS, which are structured to effectively reduce data traffic in a memory hierarchy. Second, the GEMM based level 3 BLAS performance evaluation benchmark, which is a tool for evaluating and ....

....in underlying BLAS routines) ffl Parallelism, through automatic parallelization by a compiler, or by using parallel underlying BLAS kernels. ffl A level 3 BLAS library based on unconventional underlying matrix multiply algorithms like, for example, Strassen s or Winograd s algorithms (e.g. see [25, 26, 15, 11]) We have also contributed with the GEMM based level 3 BLAS performance evaluation benchmark. This program package facilitates the evaluation and comparison between different level 3 BLAS libraries. The benchmark compares a user specified level 3 BLAS library (e.g. a vendor supplied library) ....

C.C. Douglas, M. Heroux, G. Slishman, and R.M. Smith. GEMMV: A Portable Level 3 BLAS Winograd Variant of Strassen's Matrix-Matrix Multiply Algorithm. J. Comp. Physics, 110:1--10, 1994.

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