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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*,...
Autor James R. (Blackbelt) Última actualización 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
Autor Mike P. (Intel) Última actualización 06/07/2019 - 16:40
Article

Migrating Applications from Knights Corner to Knights Landing Self-Boot Platforms

While there are many different programming models for the Intel® Xeon Phi™ coprocessor (code-named Knights Corner (KNC)), this paper lists the more prevalent KNC programming models and further discusses some of the necessary changes to port and optimize KNC models for the Intel® Xeon Phi™ processor x200 self-boot platform.
Autor Michael Greenfield (Intel) Última actualización 06/07/2019 - 16:40
Mensajes en el blog

Top Ten Intel® Software Developer Stories for July

Autor Carman, Vicky (Intel) Última actualización 03/07/2019 - 19:10
Video

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。

Autor Wei D. (Intel) Última actualización 18/01/2019 - 00:50
Mensajes en el blog

Top Ten Intel® Software Developer Stories | August

Autor Carman, Vicky (Intel) Última actualización 19/06/2019 - 16:15
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.
Autor Última actualización 06/07/2019 - 16:40
Article

Tencent* Uses Machine Learning for In-Game Purchase Recommendation System on Intel® Xeon® Processors

To enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
Autor Nguyen, Khang T (Intel) Última actualización 09/05/2019 - 13:08
Evento

Webinar: Deep Learning 101

Deep learning overview, usages, and Caffe*
Autor admin Última actualización 03/07/2019 - 19:50