According to our database1, Quentin Anthony authored at least 9 papers between 2019 and 2021.
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Cross-layer Visualization and Profiling of Network and I/O Communication for HPC Clusters.
Scaling Single-Image Super-Resolution Training on Modern HPC Clusters: Early Experiences.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
Adaptive and Hierarchical Large Message All-to-all Communication Algorithms for Large-scale Dense GPU Systems.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow.
Proceedings of the High Performance Computing - 35th International Conference, 2020
GEMS: GPU-enabled memory-aware model-parallelism system for distributed DNN training.
Proceedings of the International Conference for High Performance Computing, 2020
Accelerating GPU-based Machine Learning in Python using MPI Library: A Case Study with MVAPICH2-GDR.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020
Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow.
Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019