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Performance and Cost Comparison of Cloud Services for Deep Learning Workload.

, , , and . ICPE (Companion), page 49-55. ACM, (2021)

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De-Fragmenting the Cloud., and . CoRR, (2015)Teaching-learning-based optimisation algorithm and its application in capturing critical slip surface in slope stability analysis., , and . Soft Comput., 24 (4): 2969-2982 (2020)StarCoder: may the source be with you!, , , , , , , , , and 57 other author(s). (2023)cite arxiv:2305.06161.SantaCoder: don't reach for the stars!, , , , , , , , , and 31 other author(s). CoRR, (2023)A Vision on Accelerating Enterprise IT System 2.0., , , , and . DEEM@SIGMOD, page 8:1-8:9. ACM, (2020)TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱., , and . COMAD/CODS, page 514-518. ACM, (2024)Performance and Cost Comparison of Cloud Services for Deep Learning Workload., , , and . ICPE (Companion), page 49-55. ACM, (2021)Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data., , , and . NeurIPS, (2022)FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline., , and . IEEE BigData, page 1867-1876. IEEE, (2021)SLA-aware Workload Scheduling Using Hybrid Cloud Services., , , and . HiPS@HPDC, page 1-4. ACM, (2021)