Blue Waters Supercomputer to help in the battle against HIV virus
Researchers at the University of Illinois at Urbana-Champaign (UIUC) have determined the precise chemical structure of the HIV capsid, a protein shell that protects the genetic material of the Virus and that is the key to its virulence, “Nvidia said in a statement describing how the team carried out a “simulation of all HIV atoms” in the supercomputer powered by Nvidia’s Tesla GPU.
blue waters is a XK7 Cray supercomputer with Nvidia Tesla GPUs K20X 3,000. The research team released their findings in the journal Nature, published the “largest simulation ever made” with the Blue Waters supercomputer, an experiment that included a mapping of 64 million atoms to simulate HIV capsid (see next photo).
“It would have been very difficult to run a simulation of this size without the power of the GPU-accelerated supercomputer Blue Waters system. We started using GPUs for more than five years, GPUs have radically accelerated the pace of our research, “said Klaus Schulten, professor of physics at the University of Illinois, in a statement.
Schulten and his colleagues said that understanding the structure of the capsid of HIV “may be the key to the development of new and more effective antiretroviral drugs to combat a virus that has killed about 25 million people and infected 34 million more “worldwide.
Although no HIV drugs, the current target HIV capsid, which is seen as “an interesting target for the development of new antiretroviral drugs” because scientists have discovered that disruption of the functioning of the capsid through of a protein produced by rhesus monkeys has given immunity to HIV.
Sumit Gupta, general manager of the Tesla business unit of Nvidia, said GPU-accelerated supercomputers provide researchers, the ability to run computer simulations much more complicated, at a higher speed than was possible just based systems CPU.
The GPUs help researchers to push the boundaries of scientific discovery, allowing them to solve more difficult problems and develop ideas into larger systems and more complex.
Nvidia introduced its CUDA programming language for several years in an effort to help companies such as Cray supercomputers, to incorporate the functionality of parallel processing computer systems based on world’s most powerful GPU.
Today, a lot of the best supercomputers in the world use CPUs and GPUs to better perform computational tasks.
Link: Nvidia GPUs Assist in Battling HIV Virus (pcmag.com)
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