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cs.DC2026
FPTC: A Fast Parallel Transform-based Codec for Efficient Asymmetric Signal Compression
Ben Mechels, Ryan Billmeyer, Alexander Chen +2
Modern high-performance computing and Internet-of-Things deployments increasingly generate large volumes of signal data that must be compressed efficiently on resource-constrained…
cs.LG2026
GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
Yuebo Luo, Shiyang Li, Yifei Feng +3
Graph Neural Networks (GNNs) show strong promise for circuit analysis, but scaling to modern large-scale circuit graphs is limited by GPU memory and training cost, especially for d…