Named "Biocluster," the supercomputer - UCR's fourth - was purchased for $280,000 by the Bioinformatics Facility of the
Institute for Integrative Genome Biology (IIGB).
The new computing resource, a Linux blade cluster system, is now
the most powerful computer at UCR. It significantly reduces the
computing time of large-scale genome analysis, drug discovery and
simulation studies for many research projects.
"This new system is a valuable resource for many of our scientists," said
Thomas Girke, the director of the Bioinformatics Facility and an assistant professor of bioinformatics in the
Department of Botany and Plant Sciences.
"It changes not only the nature of science at UCR but its quality as
well, making UCR more competitive for large federal grants.
Computational research is being done faster and more efficiently than
ever before on our campus."
Girke oversees Biocluster's use, and is responsible for setting up
installation services, designing the cluster and the software tools
available, as well as communicating with different labs on campus.
Acquired and custom configured from
Verari Systems,
a computer company located in San Diego, Biocluster already is being
used by many campus researchers, allowing computationally-intensive
research projects to be conducted on campus that previously had to be
done elsewhere.
"Before Biocluster became available, I could run my simulations
only on national supercomputers supported by the National Science
Foundation's Supercomputer Cluster program," said
Chia-en Chang, an assistant professor of chemistry who came to UCR from UC San Diego in January 2008.
Chang works on molecular interactions and computer-aided drug
design, a computationally demanding task involving highly complex
simulations.
"Biocluster enables us to have much more computer power and much
better flexibility to do our research in studying protein-protein
interactions and protein dynamics," she said. "Although I can do
parallel computing using a national supercomputer, I would need to
share computer power with researchers nationwide. This means having to
wait in a queue for running our jobs. With Biocluster, we don't have to
wait for days before we can run our simulations."
The supercomputer also has made possible the hiring of new faculty
at UCR. "The university just hired three faculty members in
computational biology," Girke said. "Hiring them would have been very
difficult - if not impossible - without a state-of-the-art
infrastructure for high-performance computing."
Currently, research programs in all bioscience, biomedical,
engineering and statistics departments are using Biocluster for a
moderate user fee, including researchers not affiliated with UCR.
Besides Biocluster, UCR has supercomputers in the Department of
Physics and Astronomy; the Department of Computer Science and
Engineering; and an older cluster in IIGB.