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Nvidia Tesla is Nvidia's brand name for their products targeting stream processing and/or general purpose GPU. Products utilize GPUs from the G80 series onward. Both the underlying microarchitecture of the initial GPUs "Tesla" and the Tesla product line take their name from pioneering electrical engineer Nikola Tesla. == Overview == With their very high computational power (measured in ''floating point operations per second'' or FLOPS) compared to microprocessors, the Tesla products target the high performance computing market.〔(High Performance Computing - Supercomputing with Tesla GPUs )〕 , Nvidia Teslas power some of the world's fastest supercomputers, including Titan at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China. The lack of ability to output images to a display was the main difference between Tesla products and the consumer level GeForce cards and the professional level Quadro cards, but the latest Tesla C-class products include one Dual-Link DVI port.〔()〕 For equivalent single precision output, Fermi-based Nvidia GeForce cards have four times less dual-precision performance. Tesla products primarily operate:〔(Tesla Technical Brief (PDF) )〕 * in simulations and in large scale calculations (especially floating-point calculations) * for high-end image generation for applications in professional and scientific fields * with the use of OpenCL or CUDA. Nvidia intends to offer ARMv8 processor cores embedded into future Tesla GPUs as part of Project Denver.〔("Nvidia to Integrate ARM Processors in Tesla." )〕 This will be a 64-bit follow on to the 32-bit Tegra chips. Tesla itself will be followed by the TB/s Volta in 2016.〔("NVIDIA's Volta GPU Launches In 2016, Delivers 1TB/s Of Memory Bandwidth." )〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Nvidia Tesla」の詳細全文を読む スポンサード リンク
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