Demystifying Vectorization

May 18, 2017

Free Webinar Abstract Have you heard of code vectorization, but not sure how it applies to your work? Rest assured, you are in a good company. Furthermore, even seasoned computing professionals have a good excuse for not being familiar with this concept! That said, now is a great time to learn about writing vectorized code. That is because in modern Intel processors, vector instructions may speed up arithmetic instructions by up to a factor of 16. However, you must design computational code in a way that makes vector processing possible. In this 1-hour webinar I will explain what to expect from vectorization, and how to make sure that your code has it: Manual and compiler-assisted vectorization Assessing your success with vectorization Loop was vectorized – what’s next? Speaker Andrey Vladimirov, Head of HPC Research, Colfax International Dr. Andrey Vladimirov’s primary research interest is the application of modern computing technologies to computationally demanding scientific problems. Prior to joining Colfax, Andrey was involved in theoretical astrophysics [...]

Training Calendar

October 4, 2016

“HOW” Series: Deep Dive   June 2017 S M T W H F S 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30                   — Upcoming Information Register   Learn Modern Code Are you realizing the payoff of parallel processing? Are you aware that without code optimization, computational applications may perform orders of magnitude worse than they are supposed to? The Web-based HOW Series training provides extensive knowledge needed to extract more of the parallel compute performance potential found in both Intel® Xeon® and Intel® Xeon Phi™ processors and coprocessors. Practice New Skills The HOW series is an experiential learning program because comprising instructional and hands-on self-study components: The instructional part: 10 lecture sessions with 1 hour of theory and 1 hour of practical demonstrations. In the self-study part: attendees are provided with remote access over SSH to a Linux-based cluster of training server with Intel Xeon Phi processors (KNL) and Intel [...]

Performance Optimization for Intel® Xeon Phi™ x200 Product Family: Video

September 29, 2016

Optimization for Intel Xeon Phi Processors x200 Colfax now offers a 2-hour Hands-On Workshop (HOW) video on the best practices for performance optimization for Intel® Xeon Phi™ processor (formerly Knights Landing). Use links below the video to navigate the 10 episodes.     Slides:   HOW-Knights-Landing.pdf (4 MB) Part 1. Meet Intel Xeon Phi processors Purpose of Intel Xeon Phi processors and their organization from the programmer’s point of view. Episode 01. ► Intel architecture: today and tomorrow (14 min) Episode 02. ► Cores in Intel Xeon Phi processors (7 min) Episode 03. ► Vector Instruction Support (14 min) Episode 04. ► High-bandwidth memory (8 min) Episode 05. ► Clustering modes (9 min) Part 2. Hands-on Demonstrations Exercises in performance optimization for Intel Xeon Phi processors. Episode 06. ► Memory bandwidth optimization (19 min) (bonus: ► with memkind) (9 min) Episode 07. ► Vectorization with AVX-512 (13 min) (bonus: ► threading) (9 min) Episode 08. ► Tuning with Intel Math Kernel Library (MKL) (20 min) Episode 09. ► [...]

Knights Landing Webinar Slides Translated to Japanese

May 13, 2016

日XLsoft社の協力で、弊社の “Introduction to Next-Generation Intel® Xeon Phi™ Processor: Developer’s Guide to Knights Landing” で使われているスライド集が日本語に翻訳されました。 With the help of our partners at XLsoft, the slide deck for the webinar “Introduction to Next-Generation Intel® Xeon Phi™ Processor: Developer’s Guide to Knights Landing” has been translated to the Japanese language. XLsoft社のウェブサイト/XLsoft website Download here:  JP-Colfax-Programmers-Guide-to-KNL.pdf (5 MB) — this file is available only to registered users. Register or Log In. For more information, and to register for the webinar, please visit: Webinar [...]

Guide to Automatic Vectorization with Intel AVX-512 Instructions in Knights Landing Processors

May 11, 2016

This publication is part of a developer guide focusing on the new features in 2nd generation Intel® Xeon Phi™processors code-named Knights Landing (KNL). In this document, we focus on the new vector instruction set introduced in Knights Landing processors, Intel® Advanced Vector Extensions 512 (Intel® AVX-512). The discussion includes: Introduction to vector instructions in general, The structure and specifics of AVX-512, and Practical usage tips: checking if a processor has support for various features, compilation process and compiler arguments, and pros and cons of explicit and automatic vectorization using the Intel® C++ Compiler and the GNU Compiler Collection.  Colfax_KNL_AVX512_Guide.pdf (195 KB) — this file is available only to registered users. Register or Log In. See also: colfaxresearch.com/get-ready-for-intel-knights-landing-3-papers/ 1. Vector Instructions Intel® Xeon Phi™products are highly parallel processors with the Intel® Many Integrated Core (MIC) architecture. Parallelism is present in these [...]