NVIDIA announced its Tesla C1060 GPU Computing processor is now shipping in Dell's Precision R5400, T5500 and T7500 workstations.
"The Dell Precision R5400, T7500 and T5500 together with the Tesla GPU computing processors is putting the power of supercomputing on the desktop," said Greg Weir, senior manager, Dell Product Group. "We have seen early praise for the efforts of both Dell and NVIDIA to bring an economical high-performance computing solution to the most demanding customers."
"National Instruments is developing the control system for the European Extremely Large Telescope project, which upon completion will be the world's largest. To tackle this computational challenge, we developed a CUDA interface with LabVIEW to simulate and control the M1 mirror consisting of 984 individual segments," said Jeff Meisel product manager for LabVIEW at National Instruments. "A Dell workstation equipped with a single Tesla C1060, can achieve near real-time control of the mirror simulation and controller, which before wouldn't be possible in a single machine without the computational density offered by GPUs."
Another community sure to benefit from the mass market availability of this technology is the computational researcher. Based in the world's leading research schools such as Harvard, Cambridge or Tokyo Institute of Technology, these researchers fight for time on a shared supercomputing resource that consumes hundreds of kilowatts of power and costs millions of dollars to build and maintain. Dell Precision Workstations enabled with Tesla GPUs give each of these researchers their own "personal supercomputer" - the equivalent computing power of a cluster, at 1/100th of the price.