Natural Selection in a Linux Universe
With the master computer up and running, we turned on each node one at a time. By default, the BIOS in each node tries to boot from the network first. It finds the boot ROM on the Ethernet card, and the ROM image broadcasts a BOOTP request over the network. When the server receives the request, it identifies the associated hardware address, assigns a corresponding IP address, and allows the requesting node to download the boot image. The node loads the kernel image into memory, creates an 8MB initial RAM disk, mounts the root file system, and executes an rc script which starts essential services and daemons.
Once all nodes are up, we log in to the server and start the PVM daemon. An rhosts file in the home directory on each of the nodes allows the server to start up the daemons. We can then run in parallel any executable file that uses the PVM library routines and is included in the root file system.
For our problem, the executable residing on the nodes involves building and vibrating a white dwarf model and comparing the resulting theoretical frequencies to those observed in a real white dwarf. A genetic algorithm running on the master computer is concerned with sending sets of model parameters to each node and modifying the parameter sets based on the results. We tested the performance of the finished metacomputer with the same genetic algorithm master program as our white dwarf project, but with a less computationally intensive node program. The code ran 29.5 times faster using all 32 nodes than it did using a single node. Our tests also indicate that node programs with a higher computation to communication ratio yield an even better efficiency. We expect the white dwarf code to be approximately ten times more computationally intensive than our test problem.
After more than three months without incident, one of the nodes abruptly died. As it turned out, the power supply had gone bad, frying the motherboard and the CPU fan in the process. The processor overheated, shut itself off, and triggered an alarm. We now keep a few spare CPU fans and power supplies on hand. This is the only real problem we have had with the system, and it was easily diagnosed and fixed.
The availability of open-source software like Linux, PVM, Netboot and YARD made this project possible. We would never have considered doing it this way if we'd had to use a substantial fraction of our limited budget to buy software as well as hardware and if we'd been unable to modify it to suit our needs once we had it. This is an aspect of the Open Source movement we have not seen discussed before—the ability to try something new and show it can work, before investing a lot of money in the fond hope that everything will turn out fine.


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
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
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.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| 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 |
- Designing Electronics with Linux
- New Products
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Dynamic DNS—an Object Lesson in Problem Solving
- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Using Salt Stack and Vagrant for Drupal Development
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!
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?




3 hours 50 min ago
4 hours 24 min ago
5 hours 23 min ago
6 hours 13 min ago
10 hours 15 min ago
14 hours 2 min ago
14 hours 10 min ago
16 hours 25 min ago
18 hours 55 min ago
1 day 4 hours ago