High-Performance Data Analytics with Julia* and Intel® Math Kernel Library (Intel® MKL)

  • Overview

Although relatively new, Julia* (free and open source) is quickly gaining popularity as a programming language that helps HPC coding practitioners solve challenges specific to high-performance and high-scalability applications in Deep Learning and Numerical Computations.

Join us for a fast-paced, information-packed hour that will:

  • Discuss the benefits of Julia
  • Showcase how developers are using Julia in finance, bioscience, astronomy, autonomous vehicles, and other emerging fields
  • Demonstrate how performance libraries such as Intel® Math Kernel Library (Intel® MKL) + Julia can boost developer performance and productivity

Benchmark results were obtained prior to the implementation of recent software patches and firmware updates intended to address exploits referred to as "Spectre" and "Meltdown". Implementation of these updates may make these results inapplicable to your device or system.

Software and workloads used in performance tests may have been optimized for performance only on Intel® microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information, see Performance Benchmark Test Disclosure.