mkl4deb | Intel MKL to a Debian / Ubuntu system via one simple script
kandi X-RAY | mkl4deb Summary
kandi X-RAY | mkl4deb Summary
This post describes how to easily install the Intel Math Kernel Library (MKL) on a Debian or Ubuntu system. Very good basic documentation is provided by Intel at their site. The discussion here is more narrow as it focusses just on the Math Kernel Library (MKL).
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QUESTION
I have calculating power flow across a network. However, I have found that for larger networks the calculation is slow. I tried to implement the algorithm using RcppArmadillo. The Rcpp function is several times faster for small networks/matrices but becomes just as slow for larger ones. The speed of the operation is affecting the usefulness of functions further on. Am I writing the functions badly or is this just the options I have?
The R code below gives and example of the executions times for a matrix of 10, 100, 1000.
...ANSWER
Answered 2018-Oct-11 at 09:04I have tried your code on a dual core laptop running Debian Linux and R 3.5.1 linked to OpenBLAS. In addition, I have also used RcppArrayFire to do these calculations using the GPU (nothing fancy, just in-build graphics). Here the benchmark results:
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