- Improves the speed of common libraries and algorithms, especially data analytics.
- New Optimizations in SciPy and NumPy packages provide speedups for scikit-learn
- Leverages Intel Data Analytics Acceleration Library (Intel DAAL)
- For some scikit-learn algorithms, performance increase by 140x!
Jeff does an install with the Intel Distribution and then runs a simple benchmark on his machine to see how much of a performance improvement we see by using Intel Thead Building Blocks.
Jeff Fritz is a senior program manager in Microsoft’s Developer Division working on the .NET Community Team. As a long time web developer and application architect with experience in large and small applications across a variety of verticals, he knows how to build for performance and practicality. Four days a week, you can catch Jeff hosting a live video stream called 'Fritz and Friends' at
twitch.tv/csharpfritz. You can also learn from Jeff on WintellectNow and Pluralsight, follow him on twitter @csharpfritz, and read his blog at
jeffreyfritz.com
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