See the blog announcing the release.
To install conda package, use conda install -c intel mkl-service, or conda install -c conda-forge mkl-service.
To install pypi package, use python -m pip install mkl-service
Intel(R) Math Kernel Library support functions are subdivided into the following groups according to their purpose:
- Version Information
- Threading Control
- Timing
- Memory Management
- Conditional Numerical Reproducibility Control
- Miscellaneous
A short example, illustrating it use:
import tomopy
import mkl
mkl.domain_set_num_threads(1, domain='fft') # Intel(R) MKL FFT functions to run sequentially