Thursday, November 20, 2008

Own a personal supercomputer!

US technology firm NVIDIA rolled out high-performance “personal supercomputers” that let desktop workstations handle mind-boggling tasks once far beyond their capabilities.

Computers built with innovative NVIDIA graphics processing units (GPUs) are capable of handling calculations typically relegated to expensive supercomputing “clusters”, a technology breakthrough the company says could soon bring lightning speeds to the next generation of computers aimed at the consumer market.

NVIDIA’s Tesla Personal Supercomputers deliver approximately 250 times the processing power of current computer workstations for similar prices, according to the California-based company. “This changes everything. This supercomputing power is being brought to the workstation,” Tesla computing products general manager Andy Keane said.

Massachusetts Institute of Technology and other universities and research facilities are already using GPU-based personal supercomputers. “GPU-based systems enable us to run life science codes in minutes rather than the hours it took earlier,” said Jack Collins of the Advanced Biomedical Computing Centre in the US state of Maryland. “This exceptional speedup has the ability to accelerate the discovery of potentially life-saving anti-cancer drugs.”

NVIDIA, founded in 1993, became renowned for GPUs that drive sophisticated computer game and video hardware. While CPUs typically handle tasks in a linear style, zipping from start to finish in series, GPUs work on tasks simultaneously in order to do things such as get colour pixels together on screens to present moving images. Sets of NVIDIA chips built for speed, power, and superior graphics production are built into upgraded Macintosh notebook computers recently rolled out by Apple.

GPUs that could do parallel computing mathematics at lightning speed were engineered by NVIDIA to make Tesla chips that put desktop workstations on par with supercomputers at one 100th of the price. “You can’t ignore the GPU; you can’t say it is just a game chip,” Keane said.

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