NumPy optimized with Intel(R) MKL library
Project description
Optimized implementation of numpy, leveraging Intel® Math Kernel Library to achieve highly efficient multi-threading, vectorization, and memory management. Accelerates numpy's linear algebra, Fourier transform, and random number generation capabilities, as well as select universal functions. Drop-in replacement that maintains Python and C API compatibility with numpy. Additional details can be found in our SciPy 2017 conference proceedings.
One of many Intel® accelerated Python packages and performance library runtimes available on PyPI, and as part of Intel® Distribution for Python.
For latest release updates and security notifications, please subscribe to the Intel® Distribution for Python Community forum.
Free to use and redistribute pursuant to the Intel Simplified Software License.
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