Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO

ILGPU JIT Compiler for high-performance .Net GPU programs

row-major matmul optimization

🚀🚀🚀 This repository lists some awesome public CUDA, cuda-python, cuBLAS, cuDNN, CUTLASS, TensorRT, TensorRT-LLM, Triton, TVM, MLIR, PTX and High Performance Computing (HPC) projects.

CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of the assembly.

Free software file format parser for Avid ProTools sessions

TeraXLang - Triton Extension for LLM. As fast as FlashAttention FlashMLA, etc.

Energinets Model Testbench. Automate gridcompliance studies in PSCAD and Powerfactory.

A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.

Binary Ninja plugin for reverse engineering PTX -- the virtual instruction set architecture of CUDA-based GPUs.

This is my 🔥 100 Days of GPU — a wild, hands-on journey through CUDA/CUTLASS kernels, Triton spells, and PTX sorcery.

Web knowledge is fragmented — duplicated across fonts, embeddings, metadata, and renderings. Humans see pixels, AI sees tokens, neither shares the source. Knowledge3D: a sovereign GPU-native reference implementation for W3C PM-KR, where humans and AI consume the same procedural knowledge from one source.

CUDA kernels in any language supported by LLVM

Speed boost using: Assembly, GPU and WASM

GoPTX: Fine-grained GPU Kernel Fusion by PTX-level Instruction Flow Weaving

Set of examples written for hardware acceleration via TornadoVM

Compile Rust into PTX

Inline PTX Assembly in CUDA example

Compile MLIR to PTX and execute it on NVIDIA GPUs

Optimizing GPU compiler and database system for NVIDIA hardware