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Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Автор: James R. (Blackbelt) Последнее обновление: 12.12.2018 - 18:00
Article

IDF'15 Webcast: Data Analytics and Machine Learning

This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms. Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation
Автор: Mike P. (Intel) Последнее обновление: 06.07.2019 - 16:40
Видео

One Hero’s Modern Code is Changing the World!

The Intel® Modern Code Developer Program has the tools, knowledge and expertise to power your breakthrough Innovations.

Автор: админ Последнее обновление: 12.12.2018 - 18:00
Видео

See How One Hero’s Modern Code is Changing the World!

The Intel® Modern Code Developer Program has the tools, knowledge and expertise to power your breakthrough Innovations.

Автор: админ Последнее обновление: 12.12.2018 - 18:00
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
Видео

英特尔® 数据分析加速库(DAAL)

数据分析在各个行业和科技领域广泛运用,可帮助决策、查找各种模式、发现各种理论等。

Автор: Wei D. (Intel) Последнее обновление: 18.01.2019 - 00:50
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

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.
Автор: Последнее обновление: 06.07.2019 - 16:40
Видео

Intel® Distribution for Python*

Sergey shows how Intel® Distribution for Python* helps overcome the challenges of programming with Python by providing out-of-the-box usability and performance that scales.

Автор: Sergey Maidanov (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

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.
Автор: Последнее обновление: 06.07.2019 - 16:40
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