Blog post

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*,...
Authored by James R. (Blackbelt) Last updated on 12/12/2018 - 18:00
Blog post

英特尔® 数据分析加速库

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*,...
Authored by James R. (Blackbelt) Last updated on 12/12/2018 - 18:00
Article

Writing own-vector algorithms in OpenJDK* for faster performance

In this paper, we discuss insights into Vector API, which is being developed as part of OpenJDK* under Project Panama.

Authored by Rahul K. (Intel) Last updated on 12/12/2018 - 18:00
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Parallel Universe Magazine - Issue 23, November 2015

Authored by admin Last updated on 12/12/2018 - 18:08
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Parallel Universe Magazine - Issue 26, October 2016

Authored by admin Last updated on 12/12/2018 - 18:08
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Parallel Universe Magazine - Issue 31, January 2018

Authored by admin Last updated on 12/12/2018 - 18:08
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Parallel Universe Magazine - Issue 33, July 2018

Authored by admin Last updated on 01/24/2019 - 15:40
Article

Intel® Accelerates Hardware and Software Performance for Server-Side Java* Applications

Intel® contributes significantly to both software and hardware optimizations for Java*.

Authored by Mike P. (Intel) Last updated on 07/06/2019 - 16:30
Article

Vector API Developer Program for Java* Software

This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
Authored by Neil V. (Intel) Last updated on 07/06/2019 - 16:30