Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading-Reference-Cited by-同舟云学术

Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading

Published:2017-09-08 Issue:24 Volume:29 Page:e4286
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat: Pract Exper

Author:

Montella Raffaele¹²^ORCID,Kosta Sokol³,Oro David⁴,Vera Javier⁴,Fernández Carles⁴,Palmieri Carlo¹,Di Luccio Diana¹²,Giunta Giulio¹,Lapegna Marco⁵,Laccetti Giuliano⁵

Affiliation:

1. Department of Science and Technologies; University of Napoli Parthenope; Naples Italy

2. Computation Institute; University of Chicago; Chicago IL USA

3. CMI; Aalborg University Copenhagen; Copenhagen Denmark

4. Herta Security; Spain

5. Department of Mathematics and Applications; University of Naples Federico II; Naples Italy

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference53 articles.

1. Kosta S Aucinas A Hui P Mortier R Zhang X Thinkair: dynamic resource allocation and parallel execution in the cloud for mobile code offloading Orlando, FL March 2012 945 953

2. Gordon MS Jamshidi DA Mahlke S Mao ZM Chen X Comet: code offload by migrating execution transparently 2012 Hollywood, CA 93 106

3. Minimizing context migration in mobile code offload;Li;IEEE Trans Mobile Comput,2016

4. Precise execution offloading for applications with dynamic behavior in mobile cloud computing;Kwon;Pervasive Mobile Comput,2016

5. Reiter A Zefferer T Paving the way for security in cloud-based mobile augmentation systems San Francisco, CA March 2015 89 98

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal resource management for multi-access edge computing without using cross-layer communication;Performance Evaluation;2024-09

2. Optimal Resource Management for Multi-access Edge Computing without using Cross-layer Communication;2023 35th International Teletraffic Congress (ITC-35);2023-10-03

3. An Empirical Study of Mobile Code Offloading in Unpredictable Environments;IEEE Access;2023

4. Towards Edge-enabled Distributed Computing Framework for Heterogeneous Android-based Devices;2022 IEEE/ACM 7th Symposium on Edge Computing (SEC);2022-12

5. AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries;2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC);2021-05