Navatala GPU – multi-back end GPU kernels and Python bindings

What it does

Cross-platform GPU compute runtime and kernel corpus for scientific computing, released under the Apache License 2.0. The goal is a portable, inspectable GPU library that can run across ROCm/HIP, CUDA, Metal, Vulkan compute, and OpenCL, while still dispatching to vendor libraries where those are the best backend for an operation. runtime/ — a C++20 abstraction that presents one API over CUDA, HIP, Vulkan compute, OpenCL, and Metal. Handles device enumeration, memory allocation (device, pinned, managed), execution queues, event-based synchronization, CUDA/HIP graph capture, and a small stable C++ facade for common operations such as navatala::linalg::axpy . kernels/ — a corpus of compute…from github.com

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