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Intel and Qihoo 360 Internet Portal Datacenter - Big Data Storage Optimization Case Study

The adoption of cloud computing creates many challenges and opportunities in big data management and storage.

Criado por David Mulnix (Intel) Última atualização em 06/07/2019 - 10:47
Mensagem de blog

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.

Criado por gaston-hillar (Blackbelt) Última atualização em 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.

Criado por David Mulnix (Intel) Última atualização em 06/07/2019 - 16:40
Article
Article

What is Intel® DAAL?

The Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® Architecture optimized building blocks covering all data analytics stages: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. To achieve best performance on a range of Intel® processors, Intel DAAL uses optimized algorithms from the Intel®...
Criado por Vipin Kumar E K (Intel) Última atualização em 08/10/2018 - 06:30
Article

How to Use Intel® DAAL in Java Applications

Intel® Data Analytics Acceleration Library (Intel® DAAL) provides a Java API and the ease-of-use for Java programmers. This article discusses how to build and run applications with the Eclipse IDE (one of the most popular Java IDEs). The procedures outlined in this article should also be applicable to other Java IDEs. If you want to build and run Java applications from the command line, see...
Criado por Zhang, Zhang (Intel) Última atualização em 03/10/2018 - 07:24
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...
Criado por Zhang, Zhang (Intel) Última atualização em 07/06/2017 - 10:33
Article

A Walk-Through of Distributed 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 (preprocessing, transformation, analysis, modeling, decision making) for offline, streaming and distributed analytics usages. Intel DAAL support...
Criado por Ying H. (Intel) Última atualização em 04/10/2018 - 04:16
Article

A Tutorial on the C++ API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.
Criado por Zhang, Zhang (Intel) Última atualização em 06/07/2019 - 10:53
Article

A Tutorial on the Java API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL Java examples included in the package.
Criado por Zhang, Zhang (Intel) Última atualização em 06/07/2019 - 10:54