BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Big data processing applications are becoming more and more complex. They are no more monolithic in nature but instead they are composed of decoupled analytical processes in the form of a workflow.

This paper presents the construction of a novel recommendation algorithm that leverages the principles of a heterogeneous graph neural network (HGNN). Through the in-depth study of heterogeneous graph ...

Your current environment Running Llama4 Maverick on H100x8 🐛 Describe the bug Otherwise, it's easy to get OOM. Inductor and CUDA graph themselves may consume a lot of memory, especially, inductor may ...

About A Python Dash application that visualizes task execution timelines and worker consumption over time, using data from Excel files for different worker scenarios.