Find similar content

Source channel @githubtrending · Post #14985 · Jul 22

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

Hashtags

#c_lang #cuda #cuda_driver_api #cuda_kernels #cuda_opengl

Results

1 similar post found

Search: #sbom

当前筛选 #sbom清除筛选

GitHub Trends

@githubtrending · Post #14660 · 05/01/2025, 04:00 PM

Find similar View

#go#containers#cyclonedx#docker#go#golang#hacktoberfest#oci#sbom#spdx#static_analysis#tool Syft is a tool that helps create a list of all the software components used in your applications, known as a Software Bill of Materials (SBOM). This list is important for finding vulnerabilities and ensuring that your software complies with licensing rules. By using Syft, you can better manage your software's security and compliance. It works with many types of software and can be used with other tools like Grype to check for vulnerabilities. This helps keep your software safe and up-to-date. https://github.com/anchore/syft

Hashtags

#go #containers #cyclonedx #docker #golang #hacktoberfest #oci #sbom #spdx #static_analysis #tool