Hadoop 0.22.0 及其 RAID 部署

        使用0.20.X系列版本的Hadoop快有一年时间了,主要集中在HDFS上。期间自己参与了部署Hadoop集群(1 Server + 20 PC),也参与了分析HDFS的源码。

作者: 最后更新时间: 2019/01/24 - 16:00

Hadoop RPC机制+源码分析


作者: 最后更新时间: 2019/07/03 - 20:08

A Mission-Critical Big Data Platform for the Real-Time Enterprise

As the volume and velocity of enterprise data continue to grow, extracting high-value insight is becoming more challenging and more important. Businesses that can analyze fresh operational data instantly—without the delays of traditional data warehouses and data marts—can make the right decisions faster to deliver better outcomes.
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/06 - 16:40

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...
作者: David S. (Blackbelt) 最后更新时间: 2019/07/04 - 20:00

CERTIFACE 3D e Intel combatem fraudes em compras on-line

作者: CABELO 最后更新时间: 2018/12/12 - 11:10

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.
作者: Neil V. (Intel) 最后更新时间: 2019/07/06 - 16:30

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

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

作者: Mike P. (Intel) 最后更新时间: 2019/07/06 - 16:30
File Wrapper

Parallel Universe Magazine - Issue 26, October 2016

作者: 管理 最后更新时间: 2018/12/12 - 18:08

Performance and Agility with Big Data in a Containerized Environment

Big data analytics solution developers no longer need to choose between performance and agility.
作者: Michael G. (Intel) 最后更新时间: 2019/08/01 - 10:32


作者: Michael G. (Intel) 最后更新时间: 2019/07/04 - 11:02