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Article

Intel Guide for Developing Multithreaded Applications

Download this guide for developing multithreaded applications, which also includes general topics such as application threading and synchronization.
Автор: админ Последнее обновление: 06.07.2019 - 16:40
Article

New Levels of CT Image Performance and New Levels in Radiation Dose Management

Veo, GE Healthcare's new CT Scanner reconstruction technology, provides high resolution CT images allowing radiologists to maximize diagnostic accuracy at an optimized low dose to the patient. This paper describes the MBIR optimization steps taken.
Автор: Последнее обновление: 07.08.2019 - 20:23
Article

Choosing the right threading framework

This is the second article in a series of articles about High Performance Computing with the Intel Xeon Phi.

Автор: Последнее обновление: 06.07.2019 - 16:30
Article

Program Optimization through Loop Vectorization

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Download Program Optimization through Loop Vectorization [PDF 617KB]

Автор: Последнее обновление: 06.07.2019 - 16:30
Блоги

Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

Автор: gaston-hillar (Blackbelt) Последнее обновление: 06.07.2019 - 17:00
Блоги

A Fresh Direction for Future Video Formats

This past week, Intel announced its membership in the Alliance for Open Media. And with that, we reinforce our commitment to open formats and announce our efforts for delivering the next generation of video coding tools. With founding partners Amazon, Cisco, Google, Intel, Microsoft, Mozilla, and Netflix, the Alliance for Open Media is collaborating to develop the next generation video formats...
Автор: админ Последнее обновление: 06.07.2019 - 17:10
Article

Putting Your Data and Code in Order: Data and layout - Part 2

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40
Article

Improve Performance with Vectorization

This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40
Article

整理您的数据和代码: 数据和布局 - 第 2 部分

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40
Article

Hybrid Parallelism: A MiniFE* Case Study

This case study examines the situation where the problem decomposition is the same for threading as it is for Message Passing Interface* (MPI); that is, the threading parallelism is elevated to the same level as MPI parallelism.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40