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
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Updated
Oct 31, 2026 - C++
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
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.
Reverse engineering NVIDIA SASS instruction dictionary, kernel audits and pattern recognition across GPU architectures.
Energinet's Model Testbench. Automate gridcompliance studies in PSCAD and Powerfactory.
Open source PTX to SASS assember (previously closed source by nvidia), more efficient SASS kernal for large scale Matrix Multiplication and Addition (MMA)
HBFSim (HBF Sim): an open-source High-Bandwidth Flash (HBF) simulator. Runs real LLM inference on a real GPU and injects modeled HBF timing, capacity and thermal effects while the workload executes.
Binary Ninja plugin for reverse engineering PTX -- the virtual instruction set architecture of CUDA-based GPUs.
A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.
This is my 🔥 100 Days of GPU — a wild, hands-on journey through CUDA/CUTLASS kernels, Triton spells, and PTX sorcery.
Rust-native GPU kernel authoring framework: write GPU compute kernels in Rust, compile to PTX. The Triton equivalent for the Rust ecosystem.
Spatial AI and procedural knowledge research: a GPU-native reference implementation for concepts proposed to PM-KR, exploring shared knowledge for human and AI clients.
MOVED → https://github.com/paiml/aprender (crates/aprender-compute)
GoPTX: Fine-grained GPU Kernel Fusion by PTX-level Instruction Flow Weaving
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