Hewlett-Packard x4000 Workstation
What I was most concerned with in replacing our tried-and-true SGI workstations with Linux-based desktops were the little glitches that lurk in the dark corners, unexpectedly ruining one's experience. Other UNIX-based workstations don't have nearly the price/performance ratio of PCs, but they are relatively bulletproof. The qualification and testing that SGI or Sun put their machines through guarantees some amount of freedom from problems.
HP did their homework here and built a very solid machine. There were none of the display glitches that we find in consumer-grade machines. The FireGL4 was absolutely problem-free, no speckling pixels during refreshes, no polygons where they shouldn't be, no problems of any kind. The OpenGL drivers seem to be every bit as mature as those on other workstations.
We did have minor problems that might be expected with machines of this scale. Maya refused to run at first, claiming to be out of memory (this turned out paradoxically to be a problem of having too much memory). The 4GB in the machine is too large for the 32-bit integer that Maya was using to store the amount of free memory, wrapping around to a negative value. Booting Linux with mem=2048k yielded perfect Maya performance.
There was a bit of a learning curve for us as well with the window manager. Maya depends on using Alt-mouse button chords to move the camera. It took us longer than it should have to realize that GNOME had already intercepted these events—once we disabled those combinations our camera moves worked as they should.
With RAYZ, there was a minor marking-menu problem, but fairly simple workarounds were suggested by Silicon Grail.
The x4000 has an array of four diagnostic LEDs on the front panel. These started flashing at one point, and the code was deciphered as indicating a low CMOS battery. Reseating the battery, as suggested by the manual, caused the problem to go away.
In general, I found the problems to be remarkably few and easy to deal with. The software packages came up cleanly and easily with no configuration headaches. Companies like HP, Alias|Wavefront, Nothing Real and Silicon Grail recognize the size and importance of the Linux desktop workstation community and devote the required resources to release tested, well-qualified solutions.
HP has made a formidable computer in the x4000. At least in the fully outfitted configuration that we tested, it was a serious competitor to anything from the traditional workstation vendors. All of the advanced commercial software that we loaded worked as expected, as did our in-house software. In every particular area the performance was as high as anything we've seen, and all aspects of the machine worked synergistically to provide a great workstation.
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.
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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