An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.
CUDA Core Compute Libraries
A curated list of best cuda programming books
μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updating.
A dynamic binary instrumentation tool for tracing and analyzing GPU kernel instructions.
Suckless no dependencies CUDA/C++ port of NVIDIA's DVLT, feed it images, get a 3D point cloud + camera poses. NO python. One fast 5MB binary.
Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.
CUDA++ for the NVIDIA DGX Spark (GB10, sm_121): Aien's own GPU machine-code toolchain, runtime and driver client, without the CUDA toolkit. Other NVIDIA GPUs are not supported yet.
Gouda is a CUDA transpiler. Take your CUDA C programs and recompile for OpenCL and more.
A beginner's guide to CUDA programming
An implementation deepdive of scan algorithms in CUDA C++
A C++ header-only library for parallel linear algebra on GPUs (CUDA/cuBLAS under the hood)
原生C++/CUDA/OpenBLAS实现的张量加速计算库。性能碾压torch（原生CUDA算子实现+0拷贝优化），且更加方便部署。
Matrix-free spectral element solver for the 2D scalar wave equation: sum-factorized GLL elements, explicit CDM, C++/OpenMP (FP64) and CUDA (FP32) back-ends, Python via pybind11.
A hands-on learning repository for CUDA, GPU programming, parallel computing, and NVIDIA* GPU acceleration, with practical examples and projects.
learning to develop lightning fast C++/CUDA neural network
CUDA accelerated doodle recognition neural network built from scratch in C++/CUDA with custom model inference.
CUDA-based PPO reinforcement learning implementation built from scratch using a custom neural network . Extends CUDA n
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