The future looks bright for teraflop computing

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作者：
Molecular Science Computing Facility, Department of Energy National Scientific User Facility, Pacific Northwest National Laboratory, Richland, WA, United States [1 ]
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来源：
Sci. Comput. | 2007年 / 10卷 / 34-35期
关键词：
Commerce - Computer graphics - Computer graphics equipment - MATLAB - Computer architecture - Program processors - Parallel processing systems;
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摘要：
One of the products currently getting attention is the NVIDIA Tesla family of products based on the Tesla general purpose graphics processing unit (GPGPU). This card contains 128 processor computing core engines advertised as having the ability to deliver an aggregate 518 billion single precision floating operations per second (518 Gflop), which is being introduced at a $1499 MSRP price-point. A teraflop lab computer is feasible today, as the programmable NVIDIA GeForce 8 and Quadro family of graphics cards are available now, Tesla cards will be shipping, and exciting many-core architectures are on the horizon from a number of vendors. Applications that exploit the full potential of parallel processing systems, and GPGPUs in particular, really do not exist in today's market. The development of Matlab plug-ins is a very positive sign for the future of GPGPUs and is indicative of NVIDIA's sense of where the market is headed.
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