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Found 2 papers, 2 papers with code
LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization
The immense sizes of LLMs have led to very high resource demand and cost for running the models.
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training
Distributed full-graph training of Graph Neural Networks (GNNs) over large graphs is bandwidth-demanding and time-consuming.
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