Transcription of NVIDIA TESLA V100 GPU ARCHITECTURE
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NVIDIA TESLA V100 GPU ARCHITECTURE
NVIDIA TESLA V100 GPU. ARCHITECTURE . THE WORLD'S MOST ADVANCED DATA CENTER GPU. | August 2017. TABLE OF CONTENTS. Introduction to the NVIDIA TESLA V100 GPU ARCHITECTURE .. 1. TESLA V100: The AI Computing and HPC Powerhouse .. 2. Key Features .. 2. Extreme Performance for AI and HPC .. 5. NVIDIA GPUs The Fastest and Most Flexible Deep Learning Platform .. 6. Deep Learning Background .. 6. GPU-Accelerated Deep Learning .. 7. GV100 GPU Hardware ARCHITECTURE In-Depth .. 8. Extreme Performance and High Efficiency .. 11. Volta Streaming Multiprocessor .. 12. Tensor Cores .. 14. Enhanced L1 Data Cache and Shared Memory .. 17. Simultaneous Execution of FP32 and INT32 Operations .. 18. Compute Capability .. 18. NVLink: Higher bandwidth, More Links, More Features .. 19. More Links, Faster Links .. 19. More Features .. 19. HBM2 Memory ARCHITECTURE .. 21. ECC Memory Resiliency .. 22. Copy Engine Enhancements .. 23. TESLA V100 Board Design .. 23. GV100 CUDA Hardware and Software Architectural 25.
performance per watt. A not-to-exceed power cap can be set across all GPUs in a rack, reducing power consumption dramatically, while still obtaining excellent rack performance. Cooperative Groups and New Cooperative Launch APIs Cooperative Groups is a new programming model introduced in CUDA 9 for organizing groups of communicating threads.
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