Wednesday, October 18, 2017 9 AM PDT
A major focus of Intel® Math Kernel Library—one of five free Intel® Performance Libraries—is to dramatically improve small-matrix multiplication run-time performance in compute-intense applications such as those used in applied mathematics, physics and engineering.
In this webinar we’ll look at new Intel® MKL capabilities, compare and contrast them for different matrix multiplication uses cases, and show you code samples and benchmark results for different sizes of problems
Get notified about upcoming webinars, events, and other opportunities to develop the most relevant skills for today and tomorrow.
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.