CUDAメモ: NVIDIA Tesla K80, CUDA 10.0, Ubuntu 18.04 - c-bata webãŸã¾ãŸã¾å‚åŠ ã—ãŸã‚‚ãã‚‚ã会ã«çŸ³æœ¬ã•ã‚“ã‚‚æ¥ã¦ã„ãŸã®ã§ã€ç–‘å•ç‚¹ãŒã‚ã‚Œã°èžã‘ã‚‹ã„ã„機会ã‹ãªã¨æ€ã„CUDAã®å‹‰å¼·ã‚’ã—ã¦ã¿ã¾ã—ãŸã€‚ å…¬å¼ãƒ‰ã‚ュメント ãŒéžå¸¸ã«ä¸å¯§ã«æ›¸ã‹ã‚Œã¦ã„ã¦ã™ã”ãスムーズã«èª¿æŸ»ã§ããŸã€‚最é©åŒ–や行列計算ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ çš„ãªãƒ†ã‚¯ãƒ‹ãƒƒã‚¯ã«é–¢ã—ã¦ã¯ã€çŸ³æœ¬ã•ã‚“ã«ãŠã™ã™ã‚ã•ã‚ŒãŸ CUDA C プãƒãƒ•ã‚§ãƒƒã‚·ãƒ§ãƒŠãƒ« プãƒã‚°ãƒ©ãƒŸãƒ³ã‚° (impress top gear) を今度èªã‚“ã§è¦‹ã‚‹ã€‚ CUDA Toolkitã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« CUDA Cプãƒã‚°ãƒ©ãƒŸãƒ³ã‚° nvcc: NVIDIA CUDA Compiler NVIDIA Visual Profiler IntelliJ CLion, cmakeã®è¨å®š nvidia-docker2 libcudf(GPU DataFrame) FFmpeg libavcodec ãŠã¾ã‘: NVIDIA Tesla K80 CUDA Toolkitã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« G
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