Comments (5)
Hi,
Intel® Math Kernel Library 2017 is optimized for the Intel® Xeon Phi™ processors. Please try using older Intel® MKL versions for Atom processor.
from caffe.
- Did you tried on Atom or Xeon Phi processor?
- Did you had AVX 512 enabled?
- Did you used proper engine selection to use MKL 2017? (in command line add -engine=MKL2017)
from caffe.
No response - closing
from caffe.
back from vacation.
- Did you tried on Atom or Xeon Phi processor?
A: on Atom processor. Model name is Atom C2750 2.4GHz - Did you had AVX 512 enabled?
A: This process does not support AVX512 or AVX2 - proper engine selection is used, on latest Intel Caffe (with new MKL release 2017.0.2.20170110), performance is better but still lower than OOB Intel Caffe:
batch size changed to 1
./build/tools/caffe time -engine=MKL2017 -model models/bvlc_alexnet/deploy.prototxt
Average Forward pass: 147.002 ms.
./build/tools/caffe time -model models/bvlc_alexnet/deploy.prototxt
Average Forward pass: 66.6948 ms.
from caffe.
This work is aimed at Intel(r) Xeon(tm) and Intel XeonPhi(tm) optimization.
Atom processors are not our target and we will not optimize for it.
from caffe.
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