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Data optimization for large batch distributed training of deep neural networks., , and . CoRR, (2020)WfBench: Automated Generation of Scientific Workflow Benchmarks., , , , , , , , and . PMBS@SC, page 100-111. IEEE, (2022)Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data., , and . ICHI, page 493-498. IEEE Computer Society, (2013)Graph databases for large-scale healthcare systems: A framework for efficient data management and data services., , , and . ICDE Workshops, page 12-19. IEEE Computer Society, (2014)FORGE: Pre-Training Open Foundation Models for Science., , , and . SC, page 81:1-81:13. ACM, (2023)DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies., , , , , , , , , and 82 other author(s). CoRR, (2023)Probabilistic performance guarantee for real-time tasks with varying computation times., , , , , , and . IEEE Real Time Technology and Applications Symposium, page 164-173. IEEE Computer Society, (1995)An End-to-End QoS Management Architecture., , and . IEEE Real Time Technology and Applications Symposium, page 176-. IEEE Computer Society, (1999)Quality of monitoring of stochastic events by periodic and proportional-share scheduling of sensor coverage., , , , and . ACM Trans. Sens. Networks, 7 (2): 18:1-18:49 (2010)Accurate localization of low-level radioactive source under noise and measurement errors., , , , , and . SenSys, page 183-196. ACM, (2008)