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 ...

Graphics Processing Units (GPUs) have evolved into indispensable computational engines across numerous disciplines, ranging from high‐performance computing to deep learning. Their significance lies ...

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 ...