Abstract
AbstractThe paper describes Parallel Universal Matrix Multiplication Algorithms (PUMMA) on distributed memory concurrent computers. The PUMMA package includes not only the non‐transposed matrix multiplication routine C = A ⋅ B, but also transposed multiplication routines C = AT ⋅ B, C = A ⋅ BT, and C = AT ⋅ BT, for a block cyclic data distribution. The routines perform efficiently for a wide range of processor configurations and block sizes. The PUMMA together provide the same functionality as the Level 3 BLAS routine xGEMM. Details of the parallel implementation of the routines are given, and results are presented for runs on the Intel Touchstone Delta computer.
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