- September 2008

Is Your Personal Computer A CUDA-Enabled Speed Merchant?
Electronic Design
Sometimes I don’t hear a rumble until it becomes a roar. I’m not sure if CUDA has become a roar yet, but my ears have perked up based on a bunch of announcements I’ve received over the past few months. If CUDA hasn’t registered on your radar yet, here’s a brief summary.

GPUs Finding A New Role on Wall Street
Electronic Design
One of the new kids on Wall Street is GPU computing, a technology that is making inroads across nearly every type of HPC application. The vector processing capabilites of GPUs makes them especially well-suited to financial analytics.

GPUs Finding A New Role on Wall Street
With clock speeds more or less stagnant now and the promise of multicore CPU scalability still a pipe dream, the data parallelism offered by GPUs is one way at least some applications can jump back on the performance curve. The way Hanweck sees it, "from a technology standpoint, GPUs are going to change the way the world works."

Nvidia Chip Speeds Up Imaging for Industrial Use
The New York Times
Energy exploration firms, clothing designers, medical companies and financial services firms have also bought systems running on Nvidia chips. All of these companies share a common problem: they need hardware that can analyze a vast quantity of data and do it much faster than standard computers.

CUDA, Supercomputing for the Masses: Part 8
Dr.Dobb’s Portal
Optimized libraries often provide an easy way to improve performance of applications. When porting large legacy projects, libraries may be the only real way to optimize for a new platform because code changes would require extensive validation efforts.

NVIDIA to Offer Its New Chips in the New Cray Desktop
After more than two years of pushing its scientific computing efforts, Nvidia’s graphics processors will be offered as an option in the newest line of Cray desktop supercomputers. The chipmaker plans to announce next week that its Tesla chips can be used in the $25,000 Cray desktop supercomputer, according to Nvidia spokesperson Andrew Humber. He said Nvidia has been in talks with Cray ever since the chipmaker announced its Tesla line of graphics processors in 2007, but that this is the first deal the two companies have inked.

NCSA to add 62 teraflops of compute power with new heterogeneous system
University of Illinois' National Center for Supercomputing Applications
Installation has begun on a new computational resource at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Lincoln will deliver peak performance of 62.3 teraflops and is designed to push the envelope in the use of heterogeneous processors for scientific computing.

Agilent Collaborates with NVIDIA for Simulation
Desktop Engineering Online
Agilent Technologies Inc. announced its work with NVIDIA to accelerate signal integrity simulations using NVIDIA's CUDA-based GPUs. The association is expected to yield the commercial release of a GPU-enabled ADS Transient Convolution Simulator that will allow signal integrity designers to run these simulations faster than before.

CUDA, Supercomputing for the Masses: Part 7