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Nvidia GPU Architecture
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== Pascal Micro Architecture == ;;The SM arch of Pascal GP100: [[文件:Pascal-GP100-SM-arch.png]] * 1 SM: 2 Warp Scheduler (2 instruction dispatchers per Warp) * 1 Warp: 32 CUDA cores + 16 DPU + 8 Load/Store Units + 8 SPU * 1 SM: 64 CUDA cores + 32 DPU + 16 Load/Store Units + 16 SPU * e.g. Tesla P100: 60 SM(56 enabled), 3584 CUDA cores, 1792 DPUs, 16GB, 9.5 TFLOPs / DPU: 4.7 TFLOPs, 300Watts The arch of Pascal GP100: [[文件:Pascal-GP100-arch.png | 800px]] ;;The SM arch of Pascal GP104 [[文件:Pascal-GP104-SM-arch.png | 624px]] * 1 SM: 4 Warp Scheduler (2 instruction dispatchers per Warp) * 1 Warp: 32 CUDA cores + 1 DPU + 8 Load/Store Units + 8 SPU * 1 SM: 128 CUDA cores + 4 DPU + 32 Load/Store Units + 32 SPU * e.g. GTX1080, GTX1080Ti, TITAN X * GTX1080 (GP104): 20 SMs, 2560 CUDA cores, 80 DPUs, 16nm, 7.2billion, 8GB, 8.2 TFLOPs / DPU: 257 GFLOPs, 180Watts The arch of Pascal GP104: [[文件:Pascal-GP104-arch.png | 800px]] <br> === Video Cards === ==== GeForce 1000 series ==== * Release date: May 2016 * Codename: GP10x * Models #GeForce GTX Series * Fabrication process and transistors: #3.3B 14 nm (GP107) #4.4B 16 nm (GP106) #7.2B 16 nm (GP104) #12B 16 nm (GP102) * Cards: #Entry-level: GTX1050 / GTX1050 Ti #Mid-range: GTX1060 #High-end: GTX1070 / GTX1080(2016.5, 2560 CUDA cores, 20 SMs, 16nm, 7.2billion, 8GB, 8.2TFLOPs / DPU: 0.257TFLOPs, 180Watts) #Enthusiast: GTX1080 Ti / NVIDIA Titan X(2016.8, 3584 CUDA cores, 28 SMs, 16nm, 12billion, 12GB, 10TFLOPs / DPU: 0.317TFLOPs, 250Watts) <br><br> === GPGPU Cards === Goto: http://wiki.jackslab.org/Nvidia_GPU_Architecture#Nvidia_Tesla_GPGPU_Cards <br><br>
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