Aug 18, 2022 · This paper proposes Compressive Graph Transmission (CGTrans), which performs the aggregation in SSD to dramatically relieves the transfer latency bottleneck ...
This paper proposes Compressive Graph Transmission (CGTrans), which performs the aggregation in SSD to dramatically relieves the transfer latency bottleneck due ...
Experiments show CGTrans reduces SSD loading by a factor of 50x, while GRAPHIC achieves 3.6x, and 2.4x speedup on average over GCNAX and CGTrans on Insider, ...
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. Y Chen, G Dai, M Zhou, M Lee, N Challapalle, G ...
Figure 5 : Graph Convolutional Network (GCN) [9]. GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph.
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. Graph convolutional network (GCN), an emerging ...
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. Y Chen, G Dai, M Zhou, M Lee, N Challapalle, G ...
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph · pdf icon · hmtl icon · Published: 31 Dec 2021, ...
Note that, HGNN processes large-scale graphs by consuming as high as 453.2× less energy than the GPUs we tested. This is because, in addition to the latency ...
Missing: GatheR- | Show results with:GatheR-