Show HN: UHOP – An Open Hardware Optimization Platform for GPUs https://ift.tt/PM3jFK1

Show HN: UHOP – An Open Hardware Optimization Platform for GPUs I’ve been working on UHOP (Universal Hardware Optimization Platform) — an open-source framework that helps developers optimize GPU and accelerator workloads across architectures (CUDA, ROCm, OpenCL, etc.) without vendor lock-in. It started as a personal frustration: I’d write something that ran great on CUDA, then have to rewrite or retune for ROCm or OpenCL. UHOP tries to make that portable — it detects your hardware, generates or benchmarks candidate kernels, and caches the best performer. It also supports AI-assisted kernel generation using OpenAI APIs and comes with a simple CLI for demos and benchmarking. Right now, UHOP can: Auto-detect hardware backends and pick optimal kernels Run and benchmark fused ops like conv+ReLU Cache and reuse tuned kernels Generate kernels dynamically via codegen (CUDA/OpenCL/Python/Triton) There’s still a lot in progress — better backend integration, distributed optimization, and a web dashboard for visualizing results. I’m sharing it early to get feedback from folks who’ve worked on compilers, GPU runtimes, and ML infra. Repo: github.com/sevenloops/uhop Demo: uhop.dev Would love any thoughts on architecture, testing approaches, or potential contributions from ex-NVIDIA/ROCm engineers. https://ift.tt/XqvluJd October 22, 2025 at 04:45AM