NetApp
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud

Working Fast to Slow Things Down


Hideaki Fujitani is a professor at Tokyo University’s Laboratory for Systems Biology and Medicine (LSBM). He has a supercomputer and aims to cure cancer with it -- that according to a recent article in The Japan Times, in which Fujitani's work is described.

According to the article, Fujitani spends most of his time running simulations of antibodies bonding, or attempting to bond, to antigens. For those of you who slept during biology class, antibodies are proteins the immune system uses to attach to antigens (foreign molecules); in this case Fujitani is studying antigens specific to cancer cells.  The LSBM, led by Tatsuhiko Kodoma, is focused developing drugs for patients with recurring and advanced stages of cancer.

The simulations are aimed at making an antibody bond to and neutralize an antigen. There is one catch though, the simulation is of 30,000 to 40,000 atoms, made up of antigen, antibody and surrounding water. Also, the molecules move extremely fast, "A molecule moves in about 1 femtosecond, gradually changing the shape of proteins over microseconds," says Fujitani, "To see the dynamics, you need to solve about one billion equations. If one CPU were able to solve one equation per second, it would still take 32 years to solve all the problems. That's why we need the fastest supercomputer with lots of CPUs."

Luckily for Fujitani the LSBM acquired a 612-core supercomputer in 2010 that can crack 34 teraflops. Just months after the super’s arrival, he was verifying his simulation results with an X-Ray of an actual antibody. As amazing as his work may seem, gaining support for computer-aided drug development was not so simple. He struggled to receive support from Fujitsu, his former employer, and the Japanese pharmaceutical industry, before taking his talents to the University of Tokyo.

Because of the nature of his practice, Fujitani can always use more computational power. Fortunately he will soon be getting that with a project that will tap into what is currently the fastest computer in the world, the 10-petaflop K computer. "The K will be 240 times faster than the machine here, so we can do the calculations much more quickly, and run different programs simultaneously," he continued, "What takes a month to simulate here will be done in three or four days."

Fujitani seems confident that the work he and the rest of Kodoma’s team will be able to find a cure for cancer.  He says that in the future even people with advanced stages of cancer will be able to be cured.
 


Full story at The Japan Times

HPCwire on Twitter

Discussion

There are 0 discussion items posted.

Join the Discussion

Join the Discussion

Become a Registered User Today!


Registered Users Log in join the Discussion

May 23, 2012

May 22, 2012

May 21, 2012

May 18, 2012

May 17, 2012

May 16, 2012

May 15, 2012

May 14, 2012

May 11, 2012

May 10, 2012


Most Read Features

Most Read Around the Web

Most Read This Just In

Acer

Feature Articles

NVIDIA Works On CPU Co-Dependency Issues with Kepler GPU

NVIDIA is telling everyone that the GK110, its new Kepler GPU aimed at supercomputing, is all about improving performance per watt. But the other driving theme behind the new architecture is reducing the GPU's reliance on its CPU host. How well it accomplishes both these goals areas could determine the success of the new chip in high performance computing.
Read more...

OpenACC Starts to Gather Developer Mindshare

PGI, Cray, and CAPS enterprise are moving quickly to get their new OpenACC-supported compilers into the hands of GPGPU developers. At NVIDIA's GPU Technology Conference this week, there was plenty of discussion around the new HPC accelerator framework, and all three OpenACC compiler makers, as well as NVIDIA, were talking up the technology.
Read more...

NVIDIA Launches Kepler Into HPC

NVIDIA has introduced its first Kepler-generation GPU product for high performance computing, and revealed some of the inner working of the new architecture. The announcement took place at the kickoff of the company's GPU Technology Conference taking place this week in San Jose, California.
Read more...

Sponsored Whitepapers

Sponsored Multimedia

ISC Think Tank 2012

Newsletters



HPC Job Bank


Featured Events







HPC Wire Events