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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

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International Geographic

@internationalgeographic · Post #5770 · 06/23/2025, 03:30 PM

💎Radiacode 110 Has Landed 📲 Pre-Order is Open Now! Engineered for high-performance radiation detection, #RC110 features: ✅ 8.4% ±0.3% FWHM Energy Resolution ✅ CsI(Tl) Detector, ~3 cm³ volume ✅ 6 mm² Photomultiplier ✅ Sensitivity increase of nearly 150% over RC103 This means 1 μSv/h = 4500 CPM (vs. 1800 CPM on RC103). Precision. Power. Performance. Be the first who will get it: Radiacode.com #radiacode#radiacode110#techInnovation#tech#news#radiation#geigercounter