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Optimizing .*: Details of Vectorization and Metaprogramming

stochasticlifestyle.com · published 21 January 2016

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http://stackoverflow.com/questions/1303182/how-does-blas-get-such-extreme-performance
stackoverflow.com
https://software.intel.com/en-us/articles/using-intel-math-kernel-library-with-mathworks-matlab-on-intel-xeon-phi-coprocessor-system
software.intel.com
https://software.intel.com/en-us/node/521763
software.intel.com
http://www.mathworks.com/help/matlab/matlab_external/calling-lapack-and-blas-functions-from-mex-files.html
mathworks.com
http://www.mathworks.com/help/matlab/ref/times.html
mathworks.com
https://github.com/JuliaLang/julia
github.com
https://github.com/JuliaLang/julia/blob/master/base/sparse/sparsematrix.jl
github.com
http://docs.julialang.org/en/release-0.4/stdlib/arrays/
docs.julialang.org
https://github.com/JuliaLang/VML.jl
github.com
http://www.mathworks.com/matlabcentral/newsreader/view_thread/91085
mathworks.com
http://docs.julialang.org/en/release-0.4/manual/metaprogramming/
docs.julialang.org
https://github.com/lindahua/Devectorize.jl
github.com
https://software.intel.com/en-us/articles/vectorization-in-julia
software.intel.com
http://stackoverflow.com/questions/12522888/arrayfun-can-be-significantly-slower-than-an-explicit-loop-in-matlab-why
stackoverflow.com
http://stackoverflow.com/questions/10151033/why-is-arrayfun-much-faster-than-a-for-loop-when-using-gpu
stackoverflow.com