Evaluating LSTM Time Series Prediction Performance on Benchmark CPUs and GPUs in Cloud Environments

Author:

Saha Aditi1ORCID,Rahman Mohammad1ORCID,Wu Fan1ORCID

Affiliation:

1. Tuskegee University, Tuskegee, Alabama, USA

Funder

National Science Foundation

Publisher

ACM

Reference5 articles.

1. IGWM. [n. d.]. Integrated Groundwater Management Project. https://igwm.org

2. Thomas Mealey and Tarek M Taha. 2018. Accelerating Inference in Long Short-term Memory Neural Networks. In NAECON 2018-IEEE National Aerospace and Electronics Conference. IEEE, Dayton, Ohio, USA, 382--390.

3. Tu Nguyen, Tri Do, Khanh Le, Seungkyu Go, Sunghyun Na, Dukyun Kim, and Duc Tran. 2022. An LSTM-based Approach for Predicting Resource Utilization in Cloud Computing. In Proceedings of the 11th International Symposium on Information and Communication Technology. Hanoi, Vietnam, 173--179.

4. Ralf C Staudemeyer and Eric Rothstein Morris. 2019. Understanding LSTM--a Tutorial into Long Short-term Memory Recurrent Neural Networks. arXiv preprint arXiv:1909.09586 (2019).

5. Fuzzy Inference-based LSTM for Long-term Time Series Prediction;Wang Weina;Scientific Reports,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3