This companion article discusses portability and optimization issues of the GEMM-based level 3 BLAS model implementations and the performance evaluation benchmark. All software comes in all four data types (single- and double-precision, real and complex) and are designed to be easy to implement and use on different platforms. Each of the GEMM-based routines has a few machine-dependent parameters that specify internal block sizes, cache characteristics, and branch points for alternative code sections. These parameters provide means for adjustment to the characteristics of a memory hierarchy.
No takes yet. Share an insight, caveat, or question.
Kågström et al. (1998) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: