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Article

Hadoop and HBase Optimization for Read Intensive Search Applications

by Abinasha Karana, DirectorBizosys Technologies Pvt Ltd, Bangalore

作者: 最后更新时间: 2019/07/06 - 16:30
博客

Ways to Speed up your Cloud Environment and Workload Performance on Intel® Architecture

Setting up a cloud environment is complicated, and it involves multiple elements such as database, network infrastructure, security, etc., (depending on the need).  How do you increase the p

作者: Thai Le (Intel) 最后更新时间: 2019/07/04 - 17:05
博客

The True Benefits of Computing

For anyone what wasn't able to attend the Microsoft Worldwide Partner Conference, one of the 3 key finds that I learned was that there are many ways in which computing benefits people, but not all of them are readily apparent - so here's a review of some ways in which computing helps us!
作者: CaptGeek (Intel) 最后更新时间: 2019/07/04 - 17:43
Article

Developer Success Stories Library

Case studies and success stories
作者: 管理 最后更新时间: 2019/08/05 - 07:21
博客

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.

作者: gaston-hillar (Blackbelt) 最后更新时间: 2019/07/06 - 17:00
Article

Intel® Xeon® Processor E7 v3 Product Family

作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/06 - 16:40
Article

Intel® Xeon® Processor E7-8800/4800 V3 Product Family Technical Overview

Contents

1.     Executive Summary2.     Introduction

作者: 最后更新时间: 2019/07/06 - 16:40
Article

Intel® Parallel Computing Center at Georgia Institute of Technology

The Intel® Parallel Computing Center (Intel® PCC) on Big Data in Biosciences and Public Health is focused on developing and optimizing parallel algorithms and software on Intel® Xeon® Processor and Intel® Xeon Phi™ Coprocessor systems for handling high-throughput DNA sequencing data and gene expression data.
作者: 管理 最后更新时间: 2017/11/14 - 08:27
博客

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*,...
作者: James R. (Blackbelt) 最后更新时间: 2018/12/12 - 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

 

作者: JON J K. (Intel) 最后更新时间: 2019/07/03 - 10:17