NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...
GPU-accelerated ML operations implemented from scratch in CUDA C++ with PyTorch C++ extension bindings. Custom implementations of core operations used in transformer architectures, benchmarked against ...
This repository contains an experimental Python + WebGPU port of the original Gpufit project — a GPU‑accelerated Levenberg–Marquardt curve‑fitting library originally implemented in C++ and CUDA. The ...
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