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I/O load balancing for big data HPC applications.

, , , , , , и . IEEE BigData, стр. 233-242. IEEE Computer Society, (2017)

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Arnab Paul

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Arnab Bhattacharyya

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Arnab Rit

 

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iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems., , , , , , , и . IPDPS, стр. 610-620. IEEE, (2019)An Application-Attuned Framework for Optimizing HPC Storage Systems.. Virginia Tech, Blacksburg, VA, USA, (2020)base-search.net (ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/99793).Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing., , , , , , , , , и 29 other автор(ы). SMC, том 1512 из Communications in Computer and Information Science, стр. 361-382. Springer, (2021)Understanding HPC Application I/O Behavior Using System Level Statistics., , , , , и . HiPC, стр. 202-211. IEEE, (2020)SchedTune: A Heterogeneity-Aware GPU Scheduler for Deep Learning., , , , , и . CCGRID, стр. 695-705. IEEE, (2022)Efficient Metadata Indexing for HPC Storage Systems., , , , и . CCGRID, стр. 162-171. IEEE, (2020)Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective., и . CLUSTER, стр. 671-679. IEEE, (2021)Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure., , , , , и . PDSW-DISCS@SC, стр. 49-54. ACM, (2017)Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications., , , и . SMDS, стр. 9-17. IEEE, (2020)Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems., , и . MASCOTS, стр. 1-8. IEEE, (2021)