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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
La Grande Observer

Lynx Analytics Unveils LynxKite 2000:MM – The Next Generation of GPU-Optimized Graph AI

LOS GATOS, Calif., March 19, 2025 /PRNewswire/ — Lynx Analytics, a member of the NVIDIA Inception program for startups, today announced the launch of LynxKite 2000:MM, the most advanced version of its ...
EurekAlert!

USTC proposes a novel out-of-core large-scale graph neural network training system

On February 11, the team from the Data Darkness Lab (DDL) at the Medical Imaging Intelligence and Robotics Research Center of the University of Science and Technology of China (USTC) Suzhou Institut ...
dbta

Recognizing the Power of Graph Databases and Knowledge Graphs

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...