If you are attempting to install Ubuntu 18.04 LTS on your computer that has an NVIDIA GPU, you might get this error. Follow the instructions from this Dell Support website to fix the issue: https://www.dell.com/support/article/uk/en/ukbsdt1/sln306327/manual-nomodeset-kernel-boot-line-option-for-linux-booting?lang=en UPDATE: I’ve been having […]
Environment: Ubuntu 18.04 LTS 1. Navigate to the jetpack_download folder that has all the downloaded components for the JetPack. 2. Open a terminal that is in the jetpack_download directory. 3. Drag the NVIDIA_Nsight_Graphics_2018.6.L4T.25128383.run file into the terminal. 4. Press Enter […]
A detailed video walkthrough of how to install and run DeepStream SDK 3.0 on your Jetson Xavier machine. Get started using object detection and video analytics in your video stream/graphics pipeline today! A great way to learn the ins and […]
In order to get Nsight Eclipse launched without any errors there are two things that need to happen: Make sure the java-1_8_0-openjdk package is installed on your system https://www.digitalocean.com/community/tutorials/how-to-install-java-with-apt-on-ubuntu-18-04 Launch nsight with the following command: nsight -vm /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java Here […]
If you would like to run CUDA Samples on Jetson Xavier: Open a terminal in the sample you would like to run. For example, on my machine, open a terminal in Home/NVIDIA_CUDA-10.0_Samples/5_Simulations/oceanFFT Make sure the terminal is in that directory. […]
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//CUDA EDUCATION //CUDA Device Management | cudaLimitPrintfFifoSize | cudaLimitStackSize | cudaLimitMallocHeapSize | A quick overview of device management variables in CUDA //Website: cudaeducation.com //Twitter: @cudaeducation //Email: cudaeducation@gmail.com //YouTube: Cuda Education | Please subscribe //Slack: https://bit.ly/2NBBG4h | Join the workspace //Mailing List: Visit cudaeducation.com to join our mailing list //Donate: Visit cudaeducation.com to donate //DISCLAIMER: Use at your own risk. This code is for teaching purposes only! CUDA Education does not guarantee the accuracy of this code in any way. This code should not be used in a production or commercial environment. Any liabilities or loss resulting from the use of this code, in whole or in part, will not be the responsibility of CUDA Education. //All rights reserved. This code is the property of CUDA Education. Please contact CUDA Education at cudaeducation@gmail.com if you would like to use this code in any way, shape or form. #include "cuda_runtime.h" #include "device_launch_parameters.h" #include <stdio.h> __global__ void cuda_education_device_management() { //CUDA EDUCATION //Website: cudaeducation.com //Twitter: @cudaeducation //Email: cudaeducation@gmail.com //YouTube: Cuda Education | Please subscribe //Donate: Visit cudaeducation.com to donate to the cause } int main() { //initialize size variable size_t size; //START PRINT BUFFER SIZE //set print buffer size //this must be set before launching any kernels cudaDeviceSetLimit(cudaLimitPrintfFifoSize, 1); cudaDeviceGetLimit(&size, cudaLimitPrintfFifoSize); printf("Printf size found to be %d\n", (int)size); //END PRINT BUFFER SIZE //START STACK SIZE //set the size of stack //this must be set before launching any kernels cudaDeviceSetLimit(cudaLimitStackSize, 1); cudaDeviceGetLimit(&size, cudaLimitStackSize); printf("Stack size found to be %d\n", (int)size); //END STACK SIZE //START HEAP SIZE //set the heap size //this must be set before launching any kernels cudaDeviceSetLimit(cudaLimitMallocHeapSize, 1); cudaDeviceGetLimit(&size, cudaLimitMallocHeapSize); printf("Malloc Heap Size found to be %d\n", (int)size); //END HEAP SIZE //get the nVidia GPU running CUDA ready int cuda_education_device = 0; //set the device to be used for CUDA execution cudaSetDevice(cuda_education_device); //launch the CUDA kernel //cuda_education_grid and BLOCK are used as launch parameters cuda_education_device_management << <1, 1 >> > (); //practice good housekeeping by resetting the device when you are done cudaDeviceReset(); //CUDA EDUCATION //Website: cudaeducation.com //Twitter: @cudaeducation //Email: cudaeducation@gmail.com //YouTube: Cuda Education //Donate: Visit cudaeducation.com to donate to the cause } |
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DO NOT USE A VIRTUAL MACHINE! I am having problems running code written on the host machine (VM Ubuntu 18.04 LTS) on the Jetson Xavier. I keep getting a “Exec Format Error” whenever I run remotely on the Jetson Xavier. […]
Donate A brief outline of how to go about debugging you CUDA program. Probably the best way in my opinion is to use printf functionality to print out variable and system state to the console. printf can be used in […]
Donate A quick overview of how to program your NVIDIA graphics card using the CUDA programming language. CUDA Toolkit 9 and CUDA Toolkit 10. To get started, visit cudaeducation.com/howtoprogramcuda Teaching & Consulting sessions available cudaeducation@gmail.com Next: CUDA Dynamic […]
Use your NVIDIA GPU to make your computer vision project run faster! Below is a link to a detailed video walkthrough of adding the CUDA module to OpenCV on a Windows-based machine. The video walkthrough is 1 hour and 30 […]