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Operating System Management of MEMS-based Storage Devices., , , и . OSDI, стр. 227-242. USENIX Association, (2000)GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server., , , , и . EuroSys, стр. 4:1-4:16. ACM, (2016)Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds., , , , , , и . NSDI, стр. 629-647. USENIX Association, (2017)More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server., , , , , , , , и . NIPS, стр. 1223-1231. (2013)PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy., , , , , и . OSDI, стр. 369-385. USENIX Association, (2020)The CacheLib Caching Engine: Design and Experiences at Scale., , , , , , , , , и 1 other автор(ы). OSDI, стр. 753-768. USENIX Association, (2020)Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning., , , , , , , и . OSDI, USENIX Association, (2021)3Sigma: distribution-based cluster scheduling for runtime uncertainty., , , , и . EuroSys, стр. 2:1-2:17. ACM, (2018)Towards bounded wait-free PASIS., , , , и . From Security to Dependability, том 06371 из Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany, (2006)Cluster storage systems gotta have HeART: improving storage efficiency by exploiting disk-reliability heterogeneity., , и . FAST, стр. 345-358. USENIX Association, (2019)