Thomson Comer
Thomson Comer has been writing GPU-accelerated libraries at NVIDIA since 2018. He contributes to RAPIDS cuDF, cuSpatial, and node-rapids, and collaborates with customers and curious developers about best practices for GPU acceleration. He earned an M.S. in computer science in 2009 with a concentration in machine learning, computer vision, and graphics. Before NVIDIA, Thomson worked for a decade at the startup accelerator and consulting firm Cardinal Peak.
Sessions
In this talk, we will examine the new CUDA package layout for Conda (as included in conda-forge). Show how CUDA components have been broken out. Share how this affects development and package building. Walk through changes in the conda-forge infrastructure made to incorporate these new packages. Examine recipes using the new packages and what was needed to update them. Additionally will provide guidance on how to use these new packages in recipes or in library development.