DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep
Learning Clusters in the Cloud

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DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud

9 March 2024

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Papers citing "DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud"

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Title
Cloud Cost Optimization: A Comprehensive Review of Strategies and Case Studies Saurabh Deochake 29 11 0 24 Jul 2023
SpotLake: Diverse Spot Instance Dataset Archive Service Sungjae Lee Jaeil Hwang Kyungyong Lee 60 13 0 07 Feb 2022
Boost Neural Networks by Checkpoints Feng Wang Gu-Yeon Wei Qiao Liu Jinxiang Ou Xian Wei Hairong Lv FedML UQCV 52 10 0 03 Oct 2021
A Study of Checkpointing in Large Scale Training of Deep Neural Networks Elvis Rojas A. Kahira Esteban Meneses L. Bautista-Gomez Rosa M. Badia 53 25 0 01 Dec 2020
PyTorch Distributed: Experiences on Accelerating Data Parallel Training Shen Li Yanli Zhao R. Varma Omkar Salpekar P. Noordhuis ... Adam Paszke Jeff Smith Brian Vaughan Pritam Damania Soumith Chintala OOD MoE 66 188 0 28 Jun 2020
Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation El Moatez Billah Nagoudi Muhammad Abdul-Mageed H. Cavusoglu 28 2 0 07 Jun 2020
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models Chiheon Kim Heungsub Lee Myungryong Jeong Woonhyuk Baek Boogeon Yoon Ildoo Kim Sungbin Lim Sungwoong Kim MoE AI4CE 46 54 0 21 Apr 2020
Horovod: fast and easy distributed deep learning in TensorFlow Alexander Sergeev Mike Del Balso 102 1,222 0 15 Feb 2018
Checkpoint Ensembles: Ensemble Methods from a Single Training Process Hugh Chen Scott M. Lundberg Su-In Lee UQCV 55 63 0 09 Oct 2017