The performance of computer depends how fast the system can move data between processors and memories.The
mathematical libraries are tuned to architecture and one can use the best compiler falgs to get the best
sustained performance. The compilers used for compiling Fortran and C programs are *** and
**** provided on Intel Systems.
Besides the standard libraries, the Sequential Programs use BLAS libraries and IBM AIX -ESSL libraries for
demonstrating the performance of some of the matrix operations using the subroutines provided by these
libraries. The BLAS (Basic Linear Algebra Subprograms) are high quality "building block" routines for
performing basic vector and matrix operations. Level 1 BLAS does vector-vector operations, Level 2
BLAS does matrix-vector operations, and Level 3 BLAS does matrix-matrix operations. Because the BLAS
is efficient, portable, and widely available, it is commonly used in the development of high quality
linear algebra software like LINPACK and LAPACK. They are available at
htp://www.netlib.org/blas Information
about BLAS can be found at www.netlib.org/blas/faq.html. The MKL libraries are the libraries
providing the various subroutines for matrix-vector operations tuned to the Multi Core rchitecture
The operations include solution of linear system of
equations, dot product of vectors, matrix-matrix multiplication. These are highly optimized keeping
in mind the memory and cache hierarchy of Intel Multi Core architecture resulting in high performance for Linear
Algebra problems with large problem sizes.
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