High Performance Computing
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Activity:
Question posted: 04 27 2008 22:40:37 +0000,
2 answers, 170 views, last activity
07 06 2010 20:18:08 +0000
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I have found (though my not so extensive experience in this area), this kind of computing best works on huge data sets, and single instruction set.
For example, If you have an algorithm which can be divided into multiple parts, and have a good sized data set which can flow through the steps of algorithms, then it has a good potential to lend itself to HPCC and distributed grid computing.
Hi Ajay ,
High Performance Computing Cluster (HPCC) combines multiple Symmetric
Multi-Processor (SMP) computer systems together with high-speed
interconnects to achieve the raw-computing power of classic "big-iron"
supercomputers.
HPCC have been widely used for solving problems from high-end,
floating-point intensive scientific and engineering problems to
commercial data-intensive tasks. User employment of these applications
include:
- Seismic analysis for oil exploration
- Aerodynamic simulation for motor and Aircraft design
- Molecular modeling for biomedical research
- Data mining or finance modeling for business analysis
- Space Data and Information Sciences
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