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Part #1 - Tuning Java Garbage Collection for HBase

Part #1 of a multi-parts post, we will take a look on how to tune Java garbage collection (GC) for HBase focusing on 100% YCSB reads. In part #2, we will look at 100% writes and finally in part #3, we will tune Java GC for a mix of 50/50 read/writes. As already mentioned, we are using YCSB which seems to be the de facto NoSQL workload. We wont go into much details on how to install, configure...
Autor Eric Kaczmarek (Intel) Última actualización 14/06/2017 - 16:10
Video

Intel Software Optimization of Java* Virtual Machine and OpenJDK Community Announcement (OOW '14)

At Oracle OpenWorld 2014, Michael Greene talks about the role of his organization in helping optimize the Java* Virtual Machine and Intel's announcement that it is joining the Java OpenJDK communit

Autor Última actualización 27/03/2019 - 14:04
Video

Big Data Java Optimization

This video provides overview of Java programming language and its benefits to enterprise applications.

Autor admin Última actualización 14/06/2017 - 08:55
Mensajes en el blog

Experience and Lessons Learned for Large-Scale Graph Analysis using GraphX

While GraphX provides nice abstractions and dataflow optimizations for parallel graph processing on top of Apache Spark*, there are still many challenges in app

Autor Mike P. (Intel) Última actualización 14/06/2017 - 15:44
Article

Intel Keynote and Intel technical presentations at Spark Summit West 2015

To find new trends and strong patterns from large complex data sets, a strong analytics foundation is needed. Intel is working closely with Databricks, AMPLab, Spark community and its ecosystem to advance these analytics capabilities…
Autor Mike P. (Intel) Última actualización 07/06/2017 - 09:33
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...
Autor Zhang, Zhang (Intel) Última actualización 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...
Autor Zhang, Zhang (Intel) Última actualización 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...
Autor Ying H. (Intel) Última actualización 04/10/2018 - 04:16
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.
Autor Zhang, Zhang (Intel) Última actualización 06/07/2019 - 10:54
Article

Tuning Java* Garbage Collection for Spark* Applications

Spark is gaining wide industry adoption due to its superior performance, simple interfaces, and a rich library for analysis and calculation.

Autor Mike P. (Intel) Última actualización 10/05/2019 - 08:30