In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing) including best practices for code vectorization and parallelization, and some tips and tricks. James will highlight the Developer Access Program or DAP (http://dap.xeonphi.com/). He will cover the benefits of this turnkey solution for developers including exciting capabilities of Intel Parallel Studio XE 2016 (included in the DAP). Examples and advices are drawn from the new book Intel® Xeon Phi™ Processor High Performance Programming, Knights Landing Edition, (http://lotsofcores.com/KNLbook) by Jim Jeffers, James Reinders, and Avinash Sodani. James will touch on some exciting new features in Intel Parallel Studio XE 2017 beta (http://bit.ly/PSXE2017-Beta) that specifically assist development on Knights Landing and invite everyone to sign up for the betaicient profiling techniques can help dramatically improving the performance of your Python* code by detecting time, CPU, and memory bottlenecks. This session discusses the need, advantages, and common tools and techniques for profiling Python applications, followed by a demo of Intel® VTune Amplifier and its capabilities to profile both pure Python code and code heavily relying on C extensions.
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.