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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.

Autor gaston-hillar (Blackbelt) Última actualización 06/07/2019 - 17:00
Article

Use Cases Benefiting from the Optimization of Small Networking Data Packets using DPDK, an Open Source Solution

The Data Plane Development Kit (DPDK) is a set of optimized data plane software libraries and drivers that can be used to accelerate packet processing on Intel® architecture.

Autor David Mulnix (Intel) Última actualización 06/07/2019 - 16:40
Article

关于小型联网数据包借助开源解决方案英特尔® DPDK 实现优化后可以获得出色优势的使用案例

英特尔® 数据平面开发套件(英特尔® DPDK)是一套优化的数据平面软件库和驱动程序,可用于加速英特尔® 架构上的数据包处理。 得益于处理器技术的改进,英特尔® DPDK 的出色性能从英特尔® 凌动™ 处理器成功扩展至英特尔® 至强™ 处理器。

Autor David Mulnix (Intel) Última actualización 06/07/2019 - 16:40
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

Performance Comparison of OpenBLAS* and Intel® Math Kernel Library in R

Today, scientific and business industries collect large amounts of data, analyze them, and make decisions based on the outcome of the analysis. This paper compares the performance of Basic Linear Algebra Subprograms (BLAS), libraries OpenBLAS, and the Intel® Math Kernel Library (Intel® MKL).
Autor Nguyen, Khang T (Intel) Última actualización 06/07/2019 - 16:40
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.
Autor admin Última actualización 21/03/2019 - 12:00
Article

Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
Autor Nguyen, Khang T (Intel) Última actualización 06/07/2019 - 16:40
Article

Introducing DNN primitives in Intel® Math Kernel Library

Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL ​2019 and will be removed in the next intel® MKL Release.

Autor Vadim Pirogov (Intel) Última actualización 21/03/2019 - 12:00
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.

Autor Michael Steyer (Intel) Última actualización 06/07/2019 - 11:23