New Products
If you're using the Lustre FS on your HPC system, you might be able to improve your performance with LSI Corporation's new Engenio 2600-HD, a high-density storage system that delivers a reported 40GB/s of throughput and scaling to 1.8 PB of capacity in a single standard rack. LSI says that Engenio's 2600-HD's highly scalable, dense architecture helps HPC organizations maximize productivity and achieve a quicker time to results, while minimizing data-center floor space and overall energy consumption. The system consists of two LSI 6Gb/s SAS-based controllers integrated into the new Engenio DE6600 high-density SAS drive enclosure. The system is capable of sustaining up to 4GB/s of throughput and housing up to 60 SAS drives in a 4U space.
The latest open gear from Opengear is the company's new ACM5004-G mobile 3G cellular router for secure high-speed wireless connectivity to remote sites and devices. The compact, industrial-grade device, which delivers real-time access, monitoring and control regardless of location, has an open-source Linux core and offers local custom scripting. Key features include ubiquitous routing, secure remote control, extensive monitoring and alerts, remote power management, support for custom apps and external USB.
Mathematica from Wolfram Research, a favorite tool of Linux-geek number-crunchers everywhere, recently crossed the magic threshold of version 8. The new version 8 of this powerful computation, development and deployment platform adds free-form linguistic input via its novel Wolfram|Alpha technology, which enables users to input plain English and get immediate results without the need for syntax. Among the other 500 new additions are improved capabilities for statistical distributions and data visualization, built-in GPU programming support, SymbolicC support, integrated control systems, wavelets functions, option pricing solvers and feature detection in image processing. Mathematica 8 is available for Linux x86, Mac OS X and Windows XP/Vista/7.
With a title like Badass LEGO Guns, how can you not judge a book by its cover? This fun new book by Martin Hüdepohl and published by No Starch Press illustrates how to build five eclectic weapons entirely from LEGO Technic parts that can shoot plastic LEGO bricks at high speed with a high level of accuracy. The builder adds only rubber bands, some sanding and a touch of Krazy Glue to build these functional fusils, each with its own kick-butt nickname: the Warbeast submachine gun, the Thriller and Mini-Thriller crossbows, the Parabella mini-marvel and the Lilliputt semi-automatic pistol with a nine-brick magazine. The models range from sophisticated to simple, and “builders of all ages will find something enjoyable”, notes the publisher.
Robert Bruce Thompson and Barbara Fritchman Thompson, authors of the new 3rd edition of Building the Perfect PC, say you don't even need to be a geek to build your own PC. Well, we are geeks and we want to build our own PCs too. As talented as we are though, we may want to pick up the Thompson team's updated book to make sure we don't blow it. The payoff is a PC that is of higher quality and lower cost than off-the-shelf models. The authors explain what components you'll need as well as where to find them. They also explain how to build for your OS of choice and take advantage of the latest multicore CPUs. Instructions cover how to build numerous types of PCs, including a general-purpose computer, an extreme gaming machine, a media center, an appliance, a low-cost PC or a home server.
James Gray is Products Editor for Linux Journal
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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| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
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- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Designing Electronics with Linux
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
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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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