Mensajes en el blog

The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 20:00
Mensajes en el blog

Getting Started with Tachyon by Use Cases

In-memory computing has become an irreversible trend in big data technology, for which the wide popularity of Spark provides a good evidence. Meanwhile, memory storage and management for large data sets are still posing challenges. Out of numerous solutions, Tachyon, a memory-centric distributed storage, well solves the problems faced by many application scenarios. For example, it avoids severe...
Autor Última actualización 07/06/2019 - 16:01
Article

OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

Autor Mike P. (Intel) Última actualización 07/06/2017 - 12:14
Article

BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Autor Sunny G. (Intel) Última actualización 11/03/2019 - 13:17
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.
Autor Neil V. (Intel) Última actualización 06/07/2019 - 16:30
Article

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

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

Autor Mike P. (Intel) Última actualización 06/07/2019 - 16:30
Article

Performance and Agility with Big Data in a Containerized Environment

Big data analytics solution developers no longer need to choose between performance and agility.
Autor Michael G. (Intel) Última actualización 01/08/2019 - 10:32
Article

Tutorial for Intel® DAAL : Using Simple Java* Examples

System Environment

Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)

OS : Windows 8.1

Autor JON J K. (Intel) Última actualización 27/08/2019 - 13:50
Video

Building Faster Data Applications on Spark* Clusters Using Intel® Data Analytics Acceleration Library

Apache Spark* is an open-source cluster computing framework that’s widely popular for big data processing applications.

Autor admin Última actualización 27/08/2019 - 13:50