Linux Journal Contents #163, November 2007
Linux Journal Issue #163/November 2007
The November issue of Linux Journal is all about High-Performance Computing from many angles. Delve right into this month's hands-on feature articles, including Khurram Shiraz's primer on the Red Hat Enterprise Linux Cluster Suite, Daniel Bartholomew's piece on gracefully transferring services between systems with Heartbeat and Jack Chongjie Xue's case study on building a high-availability e-mail system at a major university.
Another theme this month is doing your core work faster and more efficiently. Take Jes Hall's article on distributing your compiling work across multiple machines in your network via distcc or Girish Venkatachalam's on enhancing your performance when network programming in C. We also interview execs at RapidMind about their cutting-edge platform for leveraging multicore processors and accelerators.
Next, check out our trusty gang columnists and opinionators: Nick Petreley is talking Java, Reuven Lerner is thinking APIs and Jon "maddog" Hall is parsing Sun's Solaris marketing hype.
Finally, Chef Marcel Gagne knows the real reason you bought dual-core processor--to play high-performance racing games! Touché, Marcel!
Features
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Red Hat Enterprise Linux Cluster Suite
by Khurram Shiraz
The trusty Red Hat cluster.
-
Getting Started with Heartbeat
by Daniel Bartholomew
Availability in a heartbeat.
-
Building a Scalable High-Availability E-Mail System with Active Directory and More
by Jack Chongjie Xue
Cyrus-IMAP to the rescue.
-
Distributed Computing with distcc
by Jes Hall
Put your lazy machines to work.
Indepth
-
Picking the RapidMind
by Nicholas Petreley
How to get those cores pumping.
-
High-Performance Networking Programming in C
by Girish Venkatachalam
Make the most of your bandwidth.
-
Multiple Associations with Stream Control Transmission Protocol
by Jan Newmarch
Chat up SCTP.
-
Roman's Law and Fast Processing with Multiple CPU Cores
by Roman Shaposhnik
Life in the -fast lane.
-
High-Performance Linux Clusters
by David Morton
Linux in the Top 500.
-
Open-Source Compositing in Blender
by Dan Sawyer
Power compositing in Blender.
Columns
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Reuven M. Lerner's At the Forge
Thinking about APIs
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Marcel Gagné's Cooking with Linux
Because Nothing Says High Performance Like a Good Race
-
Dave Taylor's Work the Shell
Keeping Score in Yahtzee
-
Jon "maddog" Hall's Beachhead
Navigating by the Sun
-
Doc Searls' Linux for Suits
The Usefulness Paradigm
-
Nicholas Petreley's /var/opinion
Is Hardware Catching Up to Java?
In Every Issue
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




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