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Philips Performs Fast AI-Driven Medical Imaging on Intel CPUs

Intel teamed up with Philips to deliver high performance, efficient deep learning inference on patients’ X-rays and computed tomography (CT) scans without the need for accelerators.

Criado por administrar Última atualização em 09/11/2018 - 13:38
Article

Developer Success Stories Library

Case studies and success stories
Criado por administrar Última atualização em 05/08/2019 - 07:21
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

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
Mensagem de blog

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*,...
Criado por James R. (Blackbelt) Última atualização em 12/12/2018 - 18:00
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

 

Criado por JON J K. (Intel) Última atualização em 03/07/2019 - 10:17