Achieving Parallelism in Intel Distribution for Python with Numba
by staff from High-Performance Computing News Analysis | insideHPC on (#4JYMK)
The rapid growth in popularity of Python as a programming language for mathematics, science, and engineering applications has been amazing. Not only is it easy to learn, but there is a vast treasure of packaged open source libraries out there targeted at just about every computational domain imaginable. This sponsored post from Intel highlights how today's enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba.
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