Upfront
The Linux NetworX Evolocity super cluster built for Lawrence Livermore National Laboratory is the number five supercomputer in the world, according to the Top500 Supercomputing List, and it's tops among Linux-based supercomputers.

Here are some facts about it:
2,304 processors.
Can process 5.694 trillion calculations per second (teraFLOPs) running the Linpak benchmark and up to 11 trillion calculations per second using other measures.
Is the size of a full tennis court.
Cooling requires 109 tons of air conditioning, enough to cool 22 homes.
Uses nearly nine miles of cable.
Weighs 35 tons.
Is 8.6× more powerful than Deep Blue, the IBM computer that beat Garry Kasparov in 1997.
Has the same amount of processing power as 11,200 PCs.
Can do in one day what would take an average PC 25 years.
Could assemble the human genome in 18 days, compared to the 150 days it took Celera.
Has 5× the memory required to hold the entire Library of Congress.
Is 5.6× more powerful than the computer used by Pixar to create the movie Monsters Inc.
(Source: Linux NetworX)
—Doc Searls
Note: www.0x49.org
I had a tough time choosing between a couple of extremely good utilities I reviewed three years ago. These included Downloader for X, which I use regularly, gnotepad+ and xglobe. But I had to go with Note. There's nothing incredibly special about Note other than it does exactly what it says—keeps notes for you. It works by keeping your notes in a binary, DBM or about any Perl-supported SQL back end. Notes can be edited, deleted or moved into subfolders (topics). Your notes database also can be either in plain text or encrypted form. This makes it ideal for storing passwords or other sensitive information. Requires: Perl, Perl modules: IO::Seekable, DBI::mysql (or other DBI-specfic module, optional), DB_File (optional), MD5 (optional), Crypt::IDEA (optional), Crypt::DES (optional), Crypt::CBC (optional).
—David A. Bandel
N-View: www.n-view.de/index_en.html
For those of you who've used tkined, the network monitor N-View will not be a stranger. However, N-View is quite a bit faster and easier to use. You can have multiple tabs with different subnets. Its biggest drawback, requiring JRE, can be overcome by simply using the package with JRE included. N-View will also mail you if a particular system is suddenly unreachable, though that's not much good if that system is your e-mail server. Requires: Java.
—David A. Bandel
I've visited a whole lot of government organizations. Virtually every government agency I've visited has Linux somewhere in the enterprise....The question is: Does anyone know about it?...I suspect at least half of those who say they don't use it have it in their enterprise but don't know about it.
—Robert Hibbard of Red Hat
We haven't developed the vocabulary to credit the open-source dynamic for what it is rather than a puzzling aberration of hackerdom. Once we have the vocabulary—a way of measuring quality vs. cost—we'll elevate open source to the pinnacle it deserves: the most productive process in an economy obsessed with productivity.
—Britt Blaser
Tower Toppler: toppler.sourceforge.net
Here's a great little game, especially for your preteens. The object: get to the top of the tower. The problem: all kinds of things are trying to knock you down. Some of the things you can destroy, and some you simply have to avoid. The game has excellent graphics, and play is extremely smooth. A number of levels and towers are available, but at the rate I get knocked off, I'll be on the beginner tower for a while. Requires: libSDL, libpthread, libz, libstdc++, libm, libX11, libXext, libdl, glibc.

—David A. Bandel
email: zbrown@tumblerings.org
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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Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
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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!
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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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