Skip to main content
PyCon US is happening May 14th-22nd in Pittsburgh, PA USA.  Learn more

MKL Support Functions

Project description

mkl-service - Python package for run-time control of Intel(R) Math Kernel Library.

Conda package Build mkl-service with clang OpenSSF Scorecard


To install conda package, use conda install -c https://software.repos.intel.com/python/conda/ 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

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page