博客

Vectorization - Find out what it is, Find out More!

One of my performance focus areas for this year is vectorization.

作者: Shannon Cepeda (Blackbelt) 最后更新时间: 2019/03/21 - 12:08
Article

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...
作者: James R. (Blackbelt) 最后更新时间: 2019/06/14 - 12:10
Article

Element-wise Alignment Requirements for Data Accesses to be ABI-Compliant on the Intel® MIC Architecture

 

Compiler Methodology for Intel® MIC Architecture

作者: Rakesh Krishnaiyer (Intel) 最后更新时间: 2019/03/21 - 12:08
Article

数据访问方面的元素智能对齐要求,以便在英特尔® MIC 架构上符合 ABI 规范

面向英特尔® MIC 架构的编译器方法

作者: Rakesh Krishnaiyer (Intel) 最后更新时间: 2019/03/21 - 12:08
博客

BKMs on the use of the SIMD directive

We had an ask from one of the various "Birds of a Feather" meetings Intel® holds at venues such as at the Super Computing* (SC) and International Super Computing* (ISC) conferences.

作者: 最后更新时间: 2019/07/06 - 17:00
视频

Part 3: Expressing Parallelism with Vectors

作者: 最后更新时间: 2019/03/21 - 12:08
博客

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...
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/03/21 - 12:08
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
作者: 最后更新时间: 2019/07/06 - 16:40
Article

面向英特尔® 架构优化的 Caffe*:使用现代代码技巧

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
作者: 最后更新时间: 2019/07/06 - 16:40
File Wrapper

Parallel Universe Magazine - Issue 22, September 2015

作者: 管理 最后更新时间: 2018/12/12 - 18:08