cuda

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--- cuda [2019/07/17 22:51] – [python] rex8312
+++ cuda [2025/06/29 16:14] (현재) – rex8312
@@ 줄 16: / 줄 16: @@
 </code>
+===== 일반적인 설명 =====
+  * [[https://damek.github.io/random/basic-facts-about-gpus/|Basic facts about GPUs]]
+===== Mixed precision =====
+  * https://devblogs.nvidia.com/apex-pytorch-easy-mixed-precision-training/
+  * https://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/
 ===== CUDA 관련 도구 =====
@@ 줄 87: / 줄 94: @@
   * https://medium.com/mlreview/using-your-idle-deep-learning-hardware-for-mining-c1b9887491fa
-===== xvfb-run 사용 =====
-<code bash>
-$ xvfb-run -s "-screen 0 1400x900x24" 명령어
-</code>
-xvfb-run -s "-screen 0 1400x900x24" glxinfo 가 정상적으로 작동하지 않을 때,
-https://davidsanwald.github.io/2016/11/13/building-tensorflow-with-gpu-support.html
-IMPORTANT: Be sure to use the –no-opengl-libs option 부분 참조
-<code bash>
-$ chmod +x cuda_8.0.44_linux-run
-$ sudo sh cuda_8.0.44_linux-run --extract=~/Downloads/
-$ sudo sh cuda_8.0.44_linux-run --override --no-opengl-libs
-</code>
-https://gist.github.com/wangruohui/df039f0dc434d6486f5d4d098aa52d07#install-dependencies
 ===== python =====
@@ 줄 122: / 줄 109: @@
     * https://github.com/rapidsai/cugraph
   * Rapids: https://rapids.ai/start.html

cuda.1563403868.txt.gz · 마지막으로 수정됨: 2024/03/23 02:37 (바깥 편집)