stamatak
commented
7 years ago I think the Intel MKL library also offers a fast implementation, also there is this old paper with Nikos Alachiotis where we looked at SW implementations of exp:
http://link.springer.com/chapter/10.1007%2F978-3-642-19475-7_34
alexis
On 05.09.2016 10:31, Tomas Flouri wrote:
Implement |_mm256_exp_pd()| for computing transition probability matrices (Issue #105 https://github.com/xflouris/libpll/issues/105 )
The intrinsic does not map to an instruction and is only available in the Intel Small Vector Library https://software.intel.com/en-us/node/583228.
There exists a single-precision implementation http://software-lisc.fbk.eu/avx_mathfun/avx_mathfun.h, however it seems to differ a bit (in results) from the libc implementation, at least for some corner cases.
A good double-precision non-vectorized implementation seems to be in the old cephes library.
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Alexandros (Alexis) Stamatakis
Research Group Leader, Heidelberg Institute for Theoretical Studies Full Professor, Dept. of Informatics, Karlsruhe Institute of Technology Adjunct Professor, Dept. of Ecology and Evolutionary Biology, University of Arizona at Tucson
www.exelixis-lab.org
Implement
_mm256_exp_pd()for computing transition probability matrices (Issue #105 )The intrinsic does not map to an instruction and is only available in the Intel Small Vector Library.
There exists a single-precision implementation, however it seems to differ a bit (in results) from the libc implementation, at least for some corner cases.
A good double-precision non-vectorized implementation seems to be in the old cephes library.