Programming for Multicore and Many-core Products including Intel® Xeon® processors and Intel® Xeon Phi™ X100 Product Family coprocessors

The programming models in use today, used for multicore processors every day, are available for many-core coprocessors as well. Therefore, explaining how to program both Intel Xeon processors and Intel Xeon Phi coprocessor is best done by explaining the options for parallel programming. This paper provides the foundation for understanding how multicore processors and many-core coprocessors are...
Authored by James R. (Blackbelt) Last updated on 10/15/2019 - 15:11

Accelerating Financial Applications on Intel® architecture

Learn more about an in-depth analysis of code modernization performance conducted by optimizing original CPU code and re-running tests on the latest GPU/CPU hardware.
Authored by George Raskulinec (Intel) Last updated on 10/17/2019 - 14:37

基于英特尔® 架构加速金融应用

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Authored by George Raskulinec (Intel) Last updated on 10/03/2019 - 08:00
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N-Body Simulation Project at Cal Poly

The goal of the N-Body problem is to predict the motion of a set of n objects interacting with each other by some force, e.g. the gravitational force. N-Body simulations have been used in particles simulation such as astrophysical and molecular dynamics simulations. There are a number of approaches for solving the N-Body problem, such as the Barnes-Hut algorithm, the Fast Multipole method, the...
Authored by Nguyen, Loc Q (Intel) Last updated on 09/30/2019 - 16:50

Get a Helping Hand from the Vectorization Advisor

Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
Authored by Last updated on 02/14/2020 - 08:50

High-Performance, Modern Code Optimizations for Computational Fluid Dynamics

Modern server farms consist of a large number of heterogeneous, energy-efficient, and very high-performance computing nodes connected with each other through a high-bandwidth network interconnect. Such systems pose one of the biggest challenges for engineers and scientists today: how to solve complex, real-world problems by efficiently using the enormous computational horsepower available from...
Authored by Last updated on 10/15/2019 - 15:30

Case Study: Optimized Code for Neural Cell Simulations

One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
Authored by Last updated on 10/03/2019 - 07:55

How to detect Knights Landing AVX-512 support (Intel® Xeon Phi™ processor)

The Intel® Xeon Phi™ processor, code named Knights Landing, is part of the second generation of Intel Xeon Phi products. Knights Landing supports Intel® AVX-512 instructions, specifically AVX-512F (foundation), AVX-512CD (conflict detection), AVX-512ER (exponential and reciprocal) and AVX-512PF (prefetch).
Authored by James R. (Blackbelt) Last updated on 10/15/2019 - 15:30

Vectorization Advisor 助您一臂之力

Vectorization Advisor is like having a trusted friend look over your code and give you advice based on what he sees. As you’ll see in this article, user feedback on the tool has included, “there are significant speedups produced by following advisor output, I'm already sold on this tool!”
Authored by Last updated on 02/14/2020 - 08:51