Fine-Tuning Vectorization on Intel® Xeon Phi™ Processors Webinar.Is your code optimized for maximum performance? Multi-level parallelism can help your code achieve its potential and accelerate your path to innovation.
Fine-Tuning Vectorization on Intel® Xeon Phi™ Processors
Is your code optimized for maximum Performance? Multi-level parallelism can help your code achieve its potential and accelerate your path to Innovation. In this hour-long webinar, HPC Expert Andrey Vladimirov will introduce techniques for writing optimized code to make full use of today’s and tomorrow’s Intel Xeon Phi™ Processor based systems.
This presentation covers automatic vectorization essentials and the tool kit for advanced tuning of vectorization performance, including:
- Compiler directives
- Data container optimization
- Language extensions for expression of data parallelism
Andrey Vladimirov, PhD
Head of HPC Research at Colfax International
Prior to joining Colfax, Andrey Vladimirov was involved in computational astrophysics research at Stanford University, North Carolina State University, and the Ioffe Institute (Russia), where he studied cosmic rays, collisionless plasmas and the interstellar medium using computer simulations. He is the lead author of a book on parallel programming and optimization, author of over 25 research publications at the online resource Colfax Research and more than 10 invited, peer-reviewed and contributed papers in industry-leading publications in scientific computing and astrophysics.