GPU Enabled Serverless Computing Framework

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dc.contributor.authorKim, Jaewookko
dc.contributor.authorJun, Tae Joonko
dc.contributor.authorKang, Daeyounko
dc.contributor.authorKim, Dohyeunko
dc.contributor.authorKim, Daeyoungko
dc.date.accessioned2020-06-22T03:21:14Z-
dc.date.available2020-06-22T03:21:14Z-
dc.date.created2020-06-11-
dc.date.issued2018-03-
dc.identifier.citation26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp.533 - 540-
dc.identifier.issn1066-6192-
dc.identifier.urihttp://hdl.handle.net/10203/274750-
dc.description.abstractA new form of cloud computing, serverless computing, is drawing attention as a new way to design micro-services architectures. In a serverless computing environment, services are developed as service functional units. The function development environment of all serverless computing framework at present is CPU based. In this paper, we propose a GPU-supported serverless computing framework that can deploy services faster than existing serverless computing framework using CPU. Our core approach is to integrate the open source serverless computing framework with NVIDIA-Docker and deploy services based on the GPU support container. We have developed an API that connects the open source framework to the NVIDIA-Docker and commands that enable GPU programming. In our experiments, we measured the performance of the framework in various environments. As a result, developers who want to develop services through the framework can deploy high-performance micro services and developers who want to run deep learning programs without a GPU environment can run code on remote GPUs with little performance degradation.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleGPU Enabled Serverless Computing Framework-
dc.typeConference-
dc.identifier.wosid000443807600081-
dc.identifier.scopusid2-s2.0-85048842203-
dc.type.rimsCONF-
dc.citation.beginningpage533-
dc.citation.endingpage540-
dc.citation.publicationname26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationUniv Cambridge, Comp Lab, Cambridge, ENGLAND-
dc.identifier.doi10.1109/PDP2018.2018.00090-
dc.contributor.localauthorKim, Daeyoung-
dc.contributor.nonIdAuthorKim, Jaewook-
dc.contributor.nonIdAuthorJun, Tae Joon-
dc.contributor.nonIdAuthorKang, Daeyoun-
dc.contributor.nonIdAuthorKim, Dohyeun-
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