博客

Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

作者: gaston-hillar (Blackbelt) 最后更新时间: 2019/07/06 - 17:00
Article

Running Intel® Parallel Studio XE Analysis Tools on Clusters with Slurm* / srun

Since HPC applications target high performance, users are interested in analyzing the runtime performance of such applications.

作者: Michael Steyer (Intel) 最后更新时间: 2019/07/06 - 11:23
博客

Modernizing Software with Future-Proof Code Optimizations

by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group

作者: Henry Gabb (Intel) 最后更新时间: 2019/07/06 - 17:10
Article

Enabling Intel® MKL in PETSc applications

 
作者: Gennady F. (Blackbelt) 最后更新时间: 2018/05/24 - 15:48
视频

Accelerate Machine Learning with Intel® Software Development Tools

Speed up your machine learning application code and turn data into insight and actionable results.

作者: 管理 最后更新时间: 2018/11/09 - 07:12
Article

Transform Enterprise, HPC & AI, Accelerate Parallel Code

作者: 管理 最后更新时间: 2019/07/06 - 16:15
Article

Open Source Project: Intel® Data Analytics Acceleration Library (Intel® DAAL)

Intel has created a data analytics acceleration project on github, to help accelerate data analytic

作者: James R. (Blackbelt) 最后更新时间: 2019/08/27 - 13:50
Article

Tutorial for Intel® DAAL: Using Simple C++ Examples

System Environment

Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)

OS : Windows* 8.1

IDE : Visual Studio 2013

 

作者: JON J K. (Intel) 最后更新时间: 2019/08/27 - 13:50
Article

A Walk-Through of Online Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages. Intel DAAL supports three processing modes, batch processing, online processing, and distributed processing. Online processing, a.k.a. streaming, is...
作者: Zhang, Zhang (Intel) 最后更新时间: 2019/08/27 - 13:50
博客

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*,...
作者: James R. (Blackbelt) 最后更新时间: 2019/08/27 - 13:50