November 2007 -- Issue #163
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
- 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.
Toolbox
- Reuven M. Lerner's At the Forge
Thinking about APIs - 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
- Letters
- UPFRONT
- Tech Tips
- New Products
Not yet a subscriber? Subscribe now to receive Linux Journal on your doorstep each month as well as instant access to this issue on-line.
| Attachment | Size |
|---|---|
| cover163.png | 23.56 KB |
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.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Non-Linux FOSS: libnotify, OS X Style
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
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?



2 hours 50 min ago
4 hours 6 min ago
7 hours 37 min ago
10 hours 31 min ago
10 hours 57 min ago
13 hours 25 min ago
13 hours 58 min ago
13 hours 59 min ago
14 hours 44 sec ago
14 hours 2 min ago