[DEPRECATED] Moved to ROCm/rocm-systems repo

Online CUDA Occupancy Calculator

(Spring 2017) Assignment 2: GPU Executor

Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line

GPU Drano Static Analysis for GPU programs.

Prototype for a SPIR-V assembler and dissasembler. It provides a composable Java interface for generating SPIR-V code at runtime.

Open source skill library for AI coding agents to write, optimize, and debug high performance compute kernels across CUDA, Triton, and quantized workloads.

Real-time NVIDIA GPU command capture, decoding, and visualization

A self-hosted low-level functional-style programming language 🌀

Noeris — autonomous kernel fusion discovery + Triton autotuning for LLM kernels and Gemma layer deeper fusion (A100/H100 wins).

High-performance GPU-accelerated C# scripting for Rhino Grasshopper, powered by ILGPU

The official implementation for paper "AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation"

Assignment 2: GPU Executor

Medical AI diagnostics system implementing real compiled Mojo GPU kernels with MAX Graph integration

Alternate backend for JAX and PyTorch that generates optimized kernels using AI agents

🍭 Sweet GPU compute kernels in CUDA, wrapped via CuPy

Runtime correctness checker for custom CUDA kernels. Attach a single decorator to periodically verify outputs against a reference implementation, with outlier-biased sampling and zero training graph impact.

Production-grade Triton kernel fusing residual add + RMSNorm + packed QKV projection into a single GPU launch for decoder-only transformer inference (Llama-3, Mistral, Qwen2). +2.4% tok/s, -1.5 GB VRAM on A10G.

16-step CUDA optimization of FlashAttention-2 achieving 99.2% of official performance on A100 — Ampere architecture