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An Overview of the Storage Plugin for Intel® Enterprise Edition for Lustre* Software

In today’s data centers, big data has placed a greater demand for performance at large scale for storage systems.

Автор: Thai Le (Intel) Последнее обновление: 07.06.2017 - 10:45
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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...
Автор: David S. (Blackbelt) Последнее обновление: 04.07.2019 - 20:00
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Автор: Gennady F. (Blackbelt) Последнее обновление: 05.07.2019 - 14:54
Article

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Автор: Gennady F. (Blackbelt) Последнее обновление: 05.07.2019 - 14:55
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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.

Автор: David S. (Blackbelt) Последнее обновление: 06.07.2019 - 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.
Автор: админ Последнее обновление: 21.03.2019 - 12:00
Article

Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 06.07.2019 - 16:30
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Face It - Week 2 Update

Face It

Автор: Pallab P. Последнее обновление: 01.02.2018 - 15:33
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China Railway Corporation is Named Finalist for the SUPERUSER Award

The adoption of OpenStack* marked the first time China Railway has fully embraced open source technology.
Автор: Travis Broughton (Intel) Последнее обновление: 01.08.2019 - 11:41
Article

Intel® Parallel Studio XE 2019 Beta

Thank you for your interest in the Intel® Parallel Studio XE 2019 Beta Program. The Intel® Parallel Studio XE 2018 Beta program is now closed.

Автор: Elizabeth S (Intel) Последнее обновление: 12.12.2018 - 18:00