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The LoBoS supercomputer is a Beowulf
class supercomputer managed by the Laboratory of Computational Biology in
the National Heart, Lung, and Blood Institute at the National Institutes of
Health campus. Researchers may use parallel computing to explore advanced
problems in biophysical chemistry including molecular bonding, protein
folding, and solvation reactions. These tasks require large amounts of
CPU power. For example, a one nanosecond simulation of a mid-size protein
in explicit water may require as many as a trillion additions and
multiplications.
Recent increases in the power of commodity microprocessors have made
Beowulfs viable research tools. Given the nature of biochemical
simulations, however, increases in CPU power, no matter how impressive,
are insufficient if significant progress is to be made in
computational biology. Fortunately, high-speed, low latency network
technology has also been developing rapidly. The LoBoS cluster utilizes
Myrinet hardware, and the staff is continually researching advances in
network technologies such as InfiniBand. The coupling of high speed networking
with powerful commodity processes provides three main research benefits:
- Improved Sampling: The time scale of simulations can be extended and simulations can be run multiple times to get a better idea of statistical significance of results.
- Increased System Size: The ability to add more atoms to simulations allows for the tackling of more complex problems.
- More Accurate Theory: In practice, most methodological improvements result in an increase in computational cost. However, some of this cost can be offset by parallelization and efficient network management. For example, the inclusion of dynamic electron correlation in the quantum mechanical portion of a QM/MM calculation can increase the scaling of computations by a factor of three.
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The LoBoS business model is to purchase many machines equipped with
commodity-priced processors rather than investing in expensive
supercomputers. This has achieved a tenfold reduction in the computing
costs of the research that the laboratory conducts. This plan
also affords greater flexibility, as researchers can use small programs
which only use one cluster node or achieve true parallel computing using
many nodes. Finally, it is a very efficient use of funds because when LoBoS
cluster nodes are updated to take advantage of new technology, which generally
happens every 18-24 months, the old nodes can easily be converted into desktop
machines, thus increasing their service life.
Department of Health and Human Services
National Institutes of Health
National Heart, Lung, and Blood Institute
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