Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
Detecting languages in streetscapes using deep convolutional neural networks.
Proceedings of the IEEE International Conference on Big Data, 2022
SUPER: SUb-Graph Parallelism for TransformERs.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Towards Large-scale Drive-by Sensing with Multi-purpose City Scanner Nodes.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019
Channel and filter parallelism for large-scale CNN training.
Proceedings of the International Conference for High Performance Computing, 2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.
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Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019