Maximum Performance, Minimum Effort: Intel® Performance Libraries

Interested in fast-tracking application performance and development on Intel® architecture?


Because Intel offers powerful performance libraries to help you do it. (And they’re free for both personal and commercial applications.)
Watch this Essentials webinar to learn about what they are and what they help you do, including:

  • Intel® Math Kernel Library — The fastest and most-used math library for Intel® and compatible processors
  • Intel® Integrated Performance Primitives — Highly optimized image, signal, data compression, and cryptography functions
  • Intel® Threading Building Blocks — Scalable parallel model to implement task-based parallelism
  • Intel® Data Analytics Acceleration Library — Big data analytics library optimizing across all data analysis stages
  • Intel® Distribution for Python* — Performance-oriented Python distribution leveraging Intel Performance Libraries
Noah Clemmons, Senior Technical Consulting Engineer, Intel Corporation

Noah is part of the Embedded/Mobile Computing group within the Developer Products Division at Intel. He specializes in teaching customers how to use performance libraries and various programming models to obtain maximum processor utilization across all lines of Intel processors. His organization is currently responsible for supporting Intel® architecture-based professional system software development tools worldwide. Noah is a recipient of the Intel® Developer Zone Black Belt Award for excellence in teaching across diverse range of Intel programming models, and earned a Bachelor of Science in Computer Science and Mathematics from the Vanderbilt University School of Engineering, and a Master of Science degree in Computational Mathematics at the University of Chicago.

Performance varies by use, configuration, and other factors. Learn more at