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WfBench: Automated Generation of Scientific Workflow Benchmarks.

, , , , , , , , и . PMBS@SC, стр. 100-111. IEEE, (2022)

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Shankar Vembu

Shankar Krishnan

Shankar Agharkar

Shankar Subramanian

Premchandra Shankar

 

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Data optimization for large batch distributed training of deep neural networks., , и . CoRR, (2020)DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies., , , , , , , , , и 82 other автор(ы). CoRR, (2023)WfBench: Automated Generation of Scientific Workflow Benchmarks., , , , , , , , и . PMBS@SC, стр. 100-111. IEEE, (2022)FORGE: Pre-Training Open Foundation Models for Science., , , и . SC, стр. 81:1-81:13. ACM, (2023)Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data., , и . ICHI, стр. 493-498. IEEE Computer Society, (2013)Graph databases for large-scale healthcare systems: A framework for efficient data management and data services., , , и . ICDE Workshops, стр. 12-19. IEEE Computer Society, (2014)Probabilistic performance guarantee for real-time tasks with varying computation times., , , , , , и . IEEE Real Time Technology and Applications Symposium, стр. 164-173. IEEE Computer Society, (1995)An End-to-End QoS Management Architecture., , и . IEEE Real Time Technology and Applications Symposium, стр. 176-. IEEE Computer Society, (1999)Algorithms and Optimality of Scheduling Soft Aperiodic Requests in Fixed-Priority Preemptive Systems., , и . Real Time Syst., 10 (1): 23-43 (1996)Quality of monitoring of stochastic events by periodic and proportional-share scheduling of sensor coverage., , , , и . ACM Trans. Sens. Networks, 7 (2): 18:1-18:49 (2010)