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The Tracking Machine Learning challenge : Throughput phase., , , , , , , , , and 11 other author(s). CoRR, (2021)Hierarchical Roofline Performance Analysis for Deep Learning Applications., , , , and . SAI (2), volume 284 of Lecture Notes in Networks and Systems, page 473-491. Springer, (2021)TrackML: A High Energy Physics Particle Tracking Challenge., , , , , , , , , and 8 other author(s). eScience, page 344. IEEE Computer Society, (2018)MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems., , , , , , , , , and 33 other author(s). MLHPC@SC, page 33-45. IEEE, (2021)Benchmarking GPU and TPU Performance with Graph Neural Networks., , , , , and . CoRR, (2022)Hierarchical Graph Neural Networks for Particle Track Reconstruction., , , , , and . CoRR, (2023)Time-Based Roofline for Deep Learning Performance Analysis., , , , , and . DLS@SC, page 10-19. IEEE, (2020)Architectural Requirements for Deep Learning Workloads in HPC Environments., , , , , , , , and . PMBS, page 7-17. IEEE, (2021)Hierarchical Roofline Performance Analysis for Deep Learning Applications., , , , and . CoRR, (2020)Physics and Computing Performance of the Exa.TrkX TrackML Pipeline., , , , , , , , , and 14 other author(s). CoRR, (2021)