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BLAS and LAPACK: Difference between revisions
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[http://www.netlib.org/blas/ BLAS (Basic Linear Algebra Subprogram] and [http://www.netlib.org/lapack/ LAPACK (Linear Algebra PACK)] are two of the most commonly used libraries in advanced research computing. They are used for vector and matrix operations that are so commonly found in a plethora of algorithms. More importantly, they are more than libraries, as they define a standard programming interface. A programming interface is a set of function definitions that can be called to accomplish specific computation, for example the dot product of two vectors of double precision numbers, or the matrix product of two hermitian matrices of complex numbers. | [http://www.netlib.org/blas/ BLAS (Basic Linear Algebra Subprogram] and [http://www.netlib.org/lapack/ LAPACK (Linear Algebra PACK)] are two of the most commonly used libraries in advanced research computing. They are used for vector and matrix operations that are so commonly found in a plethora of algorithms. More importantly, they are more than libraries, as they define a standard programming interface. A programming interface is a set of function definitions that can be called to accomplish specific computation, for example the dot product of two vectors of double precision numbers, or the matrix product of two hermitian matrices of complex numbers. | ||
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The same [https://software.intel.com/en-us/articles/intel-mkl-link-line-advisor MKL Link Advisor] tool is also useful if you receive "undefined reference" errors while using Intel compilers and <code>-mkl</code>. | The same [https://software.intel.com/en-us/articles/intel-mkl-link-line-advisor MKL Link Advisor] tool is also useful if you receive "undefined reference" errors while using Intel compilers and <code>-mkl</code>. | ||
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