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05/04/2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
Training and inference with graph neural networks (GNNs) on massive grap...
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10/16/2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Improving the training and inference performance of graph neural network...
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10/27/2019
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs
Software engineers designing recursive fork-join programs destined to ru...
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08/29/2019
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir
This work introduces TapirXLA, a replacement for TensorFlow's XLA compil...
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11/30/2018
Scalable Graph Learning for Anti-Money Laundering: A First Look
Organized crime inflicts human suffering on a genocidal scale: the Mexic...
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04/13/2018
