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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 32bit , on Intel Core2 Quad CPU Q8200 @ 2.33GHz

Linux (64bit)

Linux 64bit on Intel Core i7 CPU 920 @ 2.67GHz

OS X

OS X 10.6.6 (64bit), on Intel Xeon (x2) Quad-Core @ 2.63GHz

Windows (64bit)

Windows Server 2003 (64bit), on Intel Xeon (E5335) Quad-Core @ 2.00GHz

 

See Also

Numerical Programming in Maple


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