nvidia

问题 This question already has an answer here : Unable to execute device kernel in CUDA (1 answer) Closed 4 years ago . What I am attempting to do is Multiply Matrix A & Matrix B and then from the product matrix I get the index of the maximum value per column. But unfortunately, only the first 128*128 values of the matrix multiplication are correct while others are just garbage. I do not quite understand how this works. I request you to kindly guide me with this .. #include<stdio.h> #include "cuda

问题 This question already has an answer here : Unable to execute device kernel in CUDA (1 answer) Closed 4 years ago . What I am attempting to do is Multiply Matrix A & Matrix B and then from the product matrix I get the index of the maximum value per column. But unfortunately, only the first 128*128 values of the matrix multiplication are correct while others are just garbage. I do not quite understand how this works. I request you to kindly guide me with this .. #include<stdio.h> #include "cuda

问题 I am trying to use tensorflow and nvidia with docker, but hitting the following error: docker run --runtime=nvidia -it --rm tensorflow/tensorflow:latest-gpu python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))" docker: Error response from daemon: OCI runtime create failed: container_linux.go:344: starting container process caused "process_linux.go:424: container init caused \"process_linux.go:407: running prestart hook 1 caused

问题 This is a follow up to my previous question: help with python ctypes and nvapi I am posting another question because I already selected an answer in my previous question and the question has shifted direction now. Using python, I am trying to query nvapi.dll to get my gpu usage value. This is how you would do it in C# (referenced below): http://code.google.com/p/open-hardware-monitor/source/browse/trunk/Hardware/Nvidia/NVAPI.cs Because I only need a small subset of the functionality I don't

问题 dim3 block(4, 2) dim3 grid((nx+block.x-1)/block.x, (ny.block.y-1)/block.y); I found this code in Professional CUDA C Programming on page 53. It's meant to be a naive example of matrix multiplication. nx is the number of columns and ny is the number of rows. Can you explain how the grid size is computed? Why is block.x added to nx and then subtracted by 1 ? There is a preview (https://books.google.com/books?id=_Z7rnAEACAAJ&printsec=frontcover#v=onepage&q&f=false) but page 53 is missing. 回答1:

问题 I have a laptop that has an RTX 2060 GPU and I am using Keras and TF 2 to train an LSTM on it. I am also monitoring the gpu use by nvidia-smi and I noticed that the jupyter notebook and TF are using maximum 35% and usually the gpu is being used between 10-25%. With current conditions, it took more than 7 hours to train this model, I want to know if I am doing something wrong or it is a limitation of Keras and TF? My nvidia-smi output: Sun Nov 3 00:07:37 2019 +---------------------------------

问题 I have a laptop that has an RTX 2060 GPU and I am using Keras and TF 2 to train an LSTM on it. I am also monitoring the gpu use by nvidia-smi and I noticed that the jupyter notebook and TF are using maximum 35% and usually the gpu is being used between 10-25%. With current conditions, it took more than 7 hours to train this model, I want to know if I am doing something wrong or it is a limitation of Keras and TF? My nvidia-smi output: Sun Nov 3 00:07:37 2019 +---------------------------------

问题 i'm trying to get nvidia-docker to run on my centos7 system: $ cat /etc/systemd/system/docker.service.d/override.conf [Service] ExecStart= ExecStart=/usr/bin/dockerd-current --add-runtime docker-runc=/usr/libexec/docker/docker-runc-current --add-runtime=nvidia=/usr/bin/nvidia-container-runtime --default-runtime=docker-runc --exec-opt native.cgroupdriver=systemd --userland-proxy-path=/usr/libexec/docker/docker-proxy-current --seccomp-profile=/etc/docker/seccomp.json $OPTIONS $DOCKER_STORAGE

问题 I want my application to always run using the real gpu on nVidia Optimus laptops. From "Enabling High Performance Graphics Rendering on Optimus Systems", (http://developer.download.nvidia.com/devzone/devcenter/gamegraphics/files/OptimusRenderingPolicies.pdf): Global Variable NvOptimusEnablement (new in Driver Release 302) Starting with the Release 302 drivers, application developers can direct the Optimus driver at runtime to use the High Performance Graphics to render any application–even

问题 I want my application to always run using the real gpu on nVidia Optimus laptops. From "Enabling High Performance Graphics Rendering on Optimus Systems", (http://developer.download.nvidia.com/devzone/devcenter/gamegraphics/files/OptimusRenderingPolicies.pdf): Global Variable NvOptimusEnablement (new in Driver Release 302) Starting with the Release 302 drivers, application developers can direct the Optimus driver at runtime to use the High Performance Graphics to render any application–even