Connect with the Experts: cuGraph: Accelerated Graph Analysis, including GNN Support
, Senior Software Engineer, NVIDIA
, Senior Manager | RAPIDS cuGraph Lead, NVIDIA
, Sr Applied Scientist for GNNs | RAPIDS cuGraph, NVIDIA
, System Software Engineer, NVIDIA
, Senior Software Engineer, NVIDIA
, Senior Systems Software Engineer, NVIDIA
RAPIDS cuGraph is an open-source library for GPU-accelerated graph analysis and fits within the larger RAPIDS accelerated data science suite of libraries. Come meet the technical leads of cuGraph and ask your tough graph questions around: graph algorithms, using graph primitives to write custom algorithms, how to scale to of thousands of GPUs to handle trillion-edge size graphs, how cuGraph integrates with DGL for GNN support, how to use the pylibcugraph library as a backend graph engine, how cuGraph supports property graph, or any other graphs-related question.
*IMPORTANT: Connect with the Experts sessions are interactive sessions that give you a unique opportunity to meet, in either a group or 1:1 setting, with the brilliant minds behind NVIDIA’s products and research to get your questions answered. Space is limited - first come, first served. We request that you limit your 1:1 discussion with our Experts to 5 minutes. You will have the option to ask questions in a group setting as well. We also recommend that you use a headset microphone to ensure our Experts can hear you clearly. To test your webcam (optional) and microphone settings, please visit this link.