Linux Journal Contents #175, November 2008
There aren't many numbers that put the US national debt to shame, but here's one: 1,100,000,000,000,000. What's that? That's how many floating-point operations per second the Roadrunner supercomputer at Las Alamos can perform. That's about 100 FLOPS per dollar of US debt (unfortunately, the debt is winning the second derivative race). Read the article about Roadrunner in this month's High Performance Computing issue of LJ. Along with that, find out how to program the Cell processor and how to use CUDA with your NVIDIA GPU. Also in this issue: Mr HandS (aka Kyle Rankin) gives us a few tips on using Compiz, Chef Marcel shows you how to get blogging off your plate quicker, Mick Bauer talks about Samba security, Dan Sawyer interviews Cory Doctrow and Doc talks about how information technology can affect democracy and fix the national debt (just kidding about that last part). That and more for your reading pleasure in this month's Linux Journal.
The Roadrunner Supercomputer: a Petaflop's No Problem
by James Gray
IBM and Los Alamos National Lab teamed up to build the world's fastest supercomputer.
Massively Parallel Linux Laptops, Workstations and Clusters with CUDA
by Robert Farber
Unleash the GPU within!
Increase Performance, Reliability and Capacity with Software RAID
by Will Reese
Put those extra hard drives to work.
Overcoming the Challenges of Developing Applications for the Cell Processor
by Chris Gottbrath
Introducing techniques for troubleshooting programs written for the Cell processor.
Cory Doctorow—Linux Guru?
by Dan Sawyer
Cory Doctorow on DRM, his new novel and more.
How We Should Program GPGPUs
by Michael Wolfe
Porting to GPUs without heroic programming effort.
Use Python for Scientific Computing
by Joey Bernard
Leverage the benefits of Python for scientific computing.
Shawn Powers' Current_Issue.tar.gz
Sometimes, Fast Just Isn't Enough
Reuven M. Lerner's At the Forge
Marcel Gagné's Cooking with Linux
Dave Taylor's Work the Shell
Pushing Your Message Out to Twitter
Mick Bauer's Paranoid Penguin
Samba Security, Part I
by Mick Bauer
Kyle Rankin's Hack and /
Memories of the Way Windows Were
Doc Searls' EOF
Lincoln and Whitman's Unfinished Business
Tracking Your Business Finances with NolaPro
by Mike Diehl
The Popcorn Hour A-100
by Daniel Bartholomew
In Every Issue
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
Free to Linux Journal readers.Register Now!
- Paranoid Penguin - Building a Secure Squid Web Proxy, Part IV
- SUSE LLC's SUSE Manager
- Google's SwiftShader Released
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- My +1 Sword of Productivity
- Managing Linux Using Puppet
- Non-Linux FOSS: Caffeine!
- SuperTuxKart 0.9.2 Released
- Parsing an RSS News Feed with a Bash Script
- Rogue Wave Software's Zend Server
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide