Blog post

英特尔和 Facebook* 共同协作,在英特尔 CPU 上提高 Caffe2 的性能


Authored by Andres Rodriguez (Intel) Last updated on 05/08/2018 - 09:38


天气预报是现代生活的一个重要方面,它可在出现恶劣天气状况时即时发出警报,从而帮助有效制定计划和安排物流,并可保护生命财产安全。 但是,准确预测长期的天气情况非常复杂,通常涉及到大量数据集,并且要求对代码进行优化以利用最高级的计算机硬件功能。

Authored by Last updated on 09/30/2019 - 17:28

如何在英特尔® 至强融核™ 处理器中使用 MPI-3 共享内存

学习如何在英特尔® 至强融核™ 处理器中使用 MPI-3 共享内存
Authored by Nguyen, Loc Q (Intel) Last updated on 10/02/2019 - 15:37

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 10/02/2019 - 15:40

了解面向三维同性有限差分 (3DFD) 波动方程代码的 NUMA

本文将介绍一些技巧,帮助软件开发人员识别并修复使用最新英特尔软件开发工具时遇到的与 NUMA 相关的应用性能问题。

Authored by Sunny G. (Intel) Last updated on 10/02/2019 - 16:18

案例研究: 面向神经细胞模拟优化代码

Intel held the Intel® Modern Code Developer Challenge that had about 2,000 students from 130 universities in 19 countries registered to participate in the Challenge. They were provided access to Intel® Xeon Phi™ coprocessors to optimize code used in a CERN openlab brain simulation research project. In this article Daniel Vea Falguera (Modern Code Developer Challenge winner) shares how he...
Authored by Last updated on 10/03/2019 - 07:56

基于英特尔® 架构加速金融应用

下载 PDF

Authored by George Raskulinec (Intel) Last updated on 10/03/2019 - 08:00

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.
Authored by David M. Last updated on 10/15/2019 - 16:40

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.
Authored by Last updated on 10/15/2019 - 16:50