博客

The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
作者: David S. (Blackbelt) 最后更新时间: 2019/07/04 - 20:00
博客

Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

作者: Anton Malakhov (Intel) 最后更新时间: 2018/10/05 - 18:24
Article

Live Webinar: Boost Python* Performance with Intel® Math Kernel Library

Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
作者: Mike P. (Intel) 最后更新时间: 2017/06/07 - 10:28
博客

Doubling the Performance of OpenStack Swift with No Code Changes

My current gig is mostly about performance. I manage a group of software engineers dedicated to the languages becoming really important to the cloud and the datacenter.

作者: David S. (Blackbelt) 最后更新时间: 2019/07/06 - 17:10
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
作者: 管理 最后更新时间: 2019/03/21 - 12:00
Article

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
作者: Andres Rodriguez (Intel) 最后更新时间: 2019/03/11 - 13:17
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
作者: Sunny G. (Intel) 最后更新时间: 2018/05/08 - 10:50
Article

安装英特尔® Theano*软件优化包和支持工具

Theano* is a Python* library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays. Theano can be installed and used with several combinations of development tools and libraries on a variety of platforms. This tutorial provides one such recipe describing steps to build and install Intel-optimized Theano with Intel®...
作者: Sunny G. (Intel) 最后更新时间: 2018/05/08 - 10:50
Article

借助针对英特尔® 架构优化的 Caffe* 管理深度学习网络

如何面向英特尔® 架构优化 Caffe*,训练深度网络模型及部署网络。
作者: Andres Rodriguez (Intel) 最后更新时间: 2019/03/11 - 13:17
Article

如何安装 Python* 版英特尔® 数据分析加速库(英特尔® DAAL)

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
作者: Gennady F. (Blackbelt) 最后更新时间: 2018/07/13 - 14:32