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Clusters That Produce: 25 Open HPC Applications
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| Everyone knows applications drive the HPC boat. It is one thing to run
| benchmarks and burn-in programs, but when it is time for production work,
| applications take over. Fortunately, there are many applications that can
| take advantage of clusters. These applications can be divided into three
| oversimplified categories.
|
| * Sequential Applications - These applications run on a single core.
| While they may not be parallel (use multiple cores) the end user may run
| many copies of the same program with different input parameters. This
| type of computing is often called parametric processing. These types of
| programs can be written in any type of computer language.
| * Threaded Applications - These applications use multiple cores, but only
| on one SMP node. Most of these programs are written using C/C++ or
| Fortran and use pthreads or OpenMP - As core counts increase many HPC
| users are taking advantage of this approach.
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http://www.hpccommunity.org/f55/clusters-produce-25-open-hpc-applications-591/
Recent:
Cost is just a part of the value equation
,----[ Quote ]
| There is a two-horse race in the market, wherein one segment is dominated by
| the Windows platform while the other caters to the Linux platform in terms of
| market share, unit shipment, revenue, etc. If you look at Linux, Red Hat has
| pretty much emerged as the biggest player in this space and, depending upon
| which geography you are in, the numbers are as high as 95%.
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http://www.expresscomputeronline.com/20090615/market04.shtml
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