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"NVIDIA GPU computing technology can powerfully accelerate computational capability on important classes of applications. The Cray CX1 system is a flexible platform for individual scientists, workgroups and departments, and coupled with NVIDA's Tesla computing processors and Quadro GPUs, the Cray CX1 delivers an industry-defining supercomputer", stated Ian Miller, senior vice president of sales and marketing at Cray.
Each Tesla processor has hundreds of processor cores that deliver nearly one teraflop of peak computing performance. The Cray CX1 delivers up to four teraflops of performance, right at the deskside, when configured with four Tesla processors.
"Many organisations today are investigating ways to augment the computational resources of their cluster and increase productivity", stated Andy Keane, general manager of the GPU Computing business at NVIDIA. "The Cray CX1 combined with NVIDIA Tesla GPUs makes massive compute power accessible to scientists and engineers, transforming their work flow and enabling them to get results fast, dramatically increasing the pace of discovery."
Using GPUs, researchers have reported up to 100x speed-up on applications in fields such as molecular dynamics, quantum chemistry, finite element analysis, particle simulation, and electronic design automation. The highly parallel architecture of the GPU has been made accessible for these industries through the NVIDIA CUDA architecture. With NVIDIA's award-winning C-compiler and software development kit (SDK) for developing parallel computing applications on GPUs, developers can exploit the GPU's parallel computing architecture and automatically distribute computing work across tens of thousands of threads and hundreds of processor cores. |
