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HyperDrive: exploring hyperparameters with POP scheduling.

, , , , и . Middleware, стр. 1-13. ACM, (2017)

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Jeff Berens

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Jeff Tian

 

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Application-Aware Cluster Resource Management.. Brown University, USA, (2019)Low-latency Network Monitoring via Oversubscribed Port Mirroring., , , , , , , и . ONS, USENIX Association, (2014)ZeRO: Memory Optimization Towards Training A Trillion Parameter Models., , , и . CoRR, (2019)Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters., , , , , , , и . HCOMP, стр. 140-149. AAAI Press, (2015)DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters., , , и . KDD, стр. 3505-3506. ACM, (2020)Planck: millisecond-scale monitoring and control for commodity networks., , , , , , , и . SIGCOMM, стр. 407-418. ACM, (2014)ZeRO: memory optimizations toward training trillion parameter models., , , и . SC, стр. 20. IEEE/ACM, (2020)Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft., , , , , , , , и . OpML, стр. 5-7. USENIX Association, (2019)HyperDrive: exploring hyperparameters with POP scheduling., , , , и . Middleware, стр. 1-13. ACM, (2017)DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales., , , , , , , , , и 9 other автор(ы). CoRR, (2023)