Hackernews posts about CUDA
CUDA is a parallel computing platform and programming model developed by NVIDIA that allows developers to leverage the processing power of graphics processing units (GPUs) for general-purpose computation.
- Writing Speed-of-Light Flash Attention for 5090 in CUDA C++ (gau-nernst.github.io)
- Scale: Natively compile CUDA applications for AMD GPUs (docs.scale-lang.com)
- Legendary GPU architect Raja Koduri's startup leverages RISC-V and targets CUDA (www.tomshardware.com)
- Startup targets CUDA applications using RISC-V instead of Nvidia (www.tomshardware.com)
- Nvidia CUDA Toolkit 13.0 Is Out (www.servethehome.com)
- CUDA C++ Best Practices Guide [pdf] (docs.nvidia.com)
- 10x Your CUDA Productivity: Python for Programming the GPU (www.nvidia.com)
- Show HN: An ncurses CUDA-based fluid simulation (github.com)
- Nvidia CUDA-Q (nvidia.github.io)
- Parrallel String Matching on CUDA (ieeexplore.ieee.org)
- Open Source AI CUDA Kernel Optimizer (github.com)
- Why are CUDA kernels hard to optimize? (www.johndcook.com)
- Checkpointing CUDA Applications with CRIU (2024) (developer.nvidia.com)
- Nvidia CUDA Quantum (github.com)
- Streamline CUDA-Accelerated Python Install and Workflows with Wheel Variants (developer.nvidia.com)
- Rust CUDA August 2025 project update (rust-gpu.github.io)
- New GPU Software and IP Startup – OXPython for CUDA AI on Non-Nvidia GPUs (www.phoronix.com)
- Collection of Utilities for CUDA Programming (github.com)
- Show HN: GitArsenal – One-click setup for any GitHub repository (www.gitarsenal.dev)
- Show HN: We made PyTorch profiling usable for ML engineers (herdora.mintlify.app)
- Show HN: GPU Profiling That's Useful in 60 Seconds (www.keysandcaches.com)