Leo Fang
I am a senior software engineer at NVIDIA, currently leading the CUDA Python program. We aim to enable Python as a first-class language on the CUDA platform. In my prior roles at NVIDIA I co-founded several Python projects, including cuQuantum Python and nvmath-python, and spoke in PyCon 2022 as a sponsor. I have also supported many open-source developments, such as conda-forge, Python array API standard, and DLPack. Before joining NVIDIA, I was an assistant computational scientist at Brookhaven National Lab, and contributed to open source projects like CuPy and mpi4py.
Sessions
This talk walks all Pythonistas through recent CuPy feature development. Join me and hear my story on how an open-source novice started contributing to and helping CuPy over the years grow into a full-fledged, reliable, GPU-accelerated array library that covers most of NumPy, SciPy, and Numba functionalities.