Previously I wrote about my Linux SSD Experience. I have been using the system for a while and have become quite accustom to SSD speeds. A 64 GByte SSD can be had for just over $100 and is well worth the investment. A typical Linux
I’m in the middle of solving another cluster problem. I won’t mention any names or vendors, although at times I think some healthy shamming may be in order. In any case, the problem started out simple enough. I was asked to make a small change
One of the reasons I did not make a blog earlier in the week was the 2011 Lehigh HPC Symposium. The event was quite good, although I had to leave early. The program included both presentations on applications and implementation of HPC. The presenters included
Clouds, the next big thing, are not really for me. Call me a conspiracy theorist, paranoid, over protective, or a crank. The whole cloud thing sounds good at first. Cheap storage with no worries. But at some point you have to ask some tough questions
The following Google announcement crossed my desk today; 1 billion computing core-hours for researchers to tackle huge scientific challenges. I am always intrigued by large numbers of cores or in this case “core-hours.” Reading further the announcement states: … academic research grant program called Google
I plan on benchmarking several low cost quad-core processors in the coming weeks. I’m trying decide what to use in my Limulus Project upgrade. Currently, it uses Core 2 processors (three dual core and one quad-core) and while it works quite well, I want to
I’m a big believer in wiki’s because I don’t like repeating myself. Instead of telling someone about Computational Fluid Dynamics (CFD) packages for clusters, I would rather send them a web page link. Another reason I like dumping notes and information into a wiki is
Let’s suppose you need to do some HPC. You have $50K to buy a cluster or use an HPC Cloud. For the sake of the example, let’s also assume your application works equally well with a cloud or local cluster. What should you do? The
Almost all clusters are shared computing resources. In order to facilitate shared use, clusters have some kind of resource scheduler that sits between the user and the actual hardware. Examples of freely available resource schedulers include target=”_blank”Open Grid Scheduler (formerly Sun Grid Engine) and Torque/Maui.