https://sudonull.com/nvidia-cuda-cores-accelerated-by-ai-by-38-without-human-involvement
Multi-agent Cursor system autonomously optimized 235 CUDA cores for Blackwell B200. Results, methodology, and significance for HPC developers.
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https://sudonull.com/gpu-acceleration-of-the-game-of-life-cuda-triton-benchmarks
Comparison of PyTorch, CUDA, Triton for the cellular automaton "Game of Life" on A40. Results 22.5 ms, kernel code. Study optimizations for memory-bound tasks. Read the analysis.
https://sudonull.com/gradient-descent-and-backpropagation-in-neural-networks-cuda-c
Deep dive into gradient descent and backpropagation. Implementation of neural network training algorithms from scratch on CUDA/C++ for MNIST. Detailed breakdown of mathematics and code.
https://sudonull.com/rocm-is-catching-up-to-cuda-in-ai-onerocm-and-triton
AMD unified ROCm into OneROCm for all accelerators. Triton writes kernels for AMD/Nvidia. vLLM inference on par with CUDA. Six-week releases. Test the stack on Strix Halo.
https://sudonull.com/simd-optimization-of-mandelbrot-avx2-openmp-cuda
Boosting the Mandelbrot set: from 7 FPS scalar C++ to 500+ FPS on CUDA. AVX2 intrinsics, OpenMP multithreading, GPU code. Benchmarks Ryzen 5 + RTX 3050. For middle/senior developers.
From the web
CUDA Toolkit - Free Tools and Training | NVIDIA Developer
https://developer.nvidia.com/cuda/toolkit
Learn what's new in the CUDA Toolkit, including the latest and greatest features in the CUDA language, compiler, libraries, and tools—and get a sneak peek at what's coming up over the next year.
CUDA Toolkit 13.3 Update 1 Downloads - NVIDIA Developer
https://developer.nvidia.com/cuda-downloads
Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support.
CUDA - Wikipedia
https://en.wikipedia.org/wiki/CUDA
The CUDA platform is accessible to software developers through CUDA-accelerated libraries, compiler directives such as OpenACC, and extensions to industry-standard programming languages including …
Introduction to CUDA Programming - GeeksforGeeks
https://www.geeksforgeeks.org/electronics-engineering/introduction-to-cuda-programming/
Mar 2, 2026 · CUDA (Compute Unified Device Architecture) is a parallel computing and programming model developed by NVIDIA, which extends C++ to enable general-purpose computing on GPUs.
How to install CUDA - NVIDIA
https://nvidia.custhelp.com/app/answers/detail/a_id/2136/~/how-to-install-cuda
Sep 29, 2021 · You have to install the driver first, then the CUDA toolkit, and finally the CUDA SDK. For general discussion of setting up development environments, algorithms, optimizations and so on, …
CUDA Tutorial - GeeksforGeeks
https://www.geeksforgeeks.org/cpp/cuda-tutorial/
Apr 13, 2026 · CUDA (Compute Unified Device Architecture) is a GPU computing platform and programming model from NVIDIA that exposes hardware-level parallel execution capabilities to …
Nvidia CUDA in 100 Seconds - YouTube
https://www.youtube.com/watch?v=pPStdjuYzSI
Mar 7, 2024 · What is CUDA? And how does parallel computing on the GPU enable developers to unlock the full potential of AI? Learn the basics of Nvidia CUDA programming in this quick tutorial. …
What is CUDA? - NVIDIA
https://nvidia.custhelp.com/app/answers/detail/a_id/2132/~/what-is-cuda%3F
Sep 29, 2021 · Mathematical libraries that have been optimized to run using CUDA. The CUDA software comes with the software driver, the CUDA toolkit (compiler, debugger, profiler), and the CUDA SDK …
Explore - CUDA Tutorial
https://www.tutorialspoint.com/cuda/index.htm
CUDA is a parallel computing platform and an API model that was developed by Nvidia. Using CUDA, one can utilize the power of Nvidia GPUs to perform general computing tasks, such as multiplying …
How to Install CUDA Toolkit on Windows & Linux (2024)
https://cuda.live/tutorials/installing-cuda
Step-by-step guide to installing the NVIDIA CUDA Toolkit on Windows 10/11 and Ubuntu Linux. Covers drivers, PATH setup, WSL2, Docker, verification, and common error fixes.
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