Intel’s support of Accelerated Python continues to make it the logical choice for any performance-sensitive Python users (plus it’s free!). Intel’s distribution is a tuned version of the open source Python we all normally use. It’s been prebuilt to deliver much higher performance by a variety of methods, but most importantly by relying on the Intel Performance Libraries to accelerate x86 and x86-64 performance. This means that performance improvements can come without changing our Python code.
When using the Intel Distribution for Python, it’s not unusual to see substantial speed-ups for numerically intensive Python codes such as those that utilize the Numpy and SciPy stack. I wrote about a 20X speed-up in a prior article, and a blog from Google showed speed-ups of up to 23X.
To read this article in full, please click here