Фильтры

Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Автор: Nathan Greeneltch (Intel) Последнее обновление: 31.07.2019 - 12:11
Article

最大限度提升 CPU 上的 TensorFlow* 性能:推理工作负载的注意事项和建议

本文将介绍使用面向 TensorFlow 的英特尔® 优化* 进行 CPU 推理的性能注意事项
Автор: Nathan Greeneltch (Intel) Последнее обновление: 09.08.2019 - 02:02
Видео

Knights Landing – An Overview for Developers

In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)

Автор: админ Последнее обновление: 30.09.2019 - 17:02
Блоги

Top Ten Intel Software Developer Stories | July

Check out the new commercial IoT website, find out more about Embree ray tracing, and read about a long-lived game studio.
Автор: Carman, Vicky (Intel) Последнее обновление: 30.09.2019 - 16:50
Блоги

Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

Автор: Последнее обновление: 30.09.2019 - 16:50
Article

Stanford HPC Center Summer Speaker Series: Introduction to High Performance Computing Tools

Автор: Mike P. (Intel) Последнее обновление: 30.09.2019 - 17:28
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: 30.09.2019 - 17:28
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: 15.10.2019 - 16:40
Article

Optimizing OpenStack* Swift* Performance with PyPy*

Isolate and address challenges, understand different solutions, and learn best-known methods associated with adopting a PyPy* just-in-time interpreter for a leading cloud co

Автор: Peter X. Wang (Intel) Последнее обновление: 15.10.2019 - 16:40
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: 15.10.2019 - 16:50