Parallel Linear Algebra
The access to optimized BLAS and LAPACK functions for floating-point Matrices and Vectors has been updated in Maple 17.
On Linux and OS X, this involves updates to the ATLAS (Automatically Tuned Linear Algebra Software) dynamic libraries which are shipped with Maple. While on 64-bit Windows, Maple 17 has been updated to use Intel's Math Kernel Library (MKL).
Performance enhancements for floating-point Linear Algebra operations include improved use of multiple cores and CPUs.
The operations referenced in the plots in this document were all performed on real, floating-point Matrices and Vectors created with the datatype=float[8] option.
Linux (32bit)
Linux (64bit)
OS X
Windows (64bit)
See Also
Numerical Programming in Maple
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