DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jaewook | ko |
dc.contributor.author | Jun, Tae Joon | ko |
dc.contributor.author | Kang, Daeyoun | ko |
dc.contributor.author | Kim, Dohyeun | ko |
dc.contributor.author | Kim, Daeyoung | ko |
dc.date.accessioned | 2020-06-22T03:21:14Z | - |
dc.date.available | 2020-06-22T03:21:14Z | - |
dc.date.created | 2020-06-11 | - |
dc.date.issued | 2018-03 | - |
dc.identifier.citation | 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp.533 - 540 | - |
dc.identifier.issn | 1066-6192 | - |
dc.identifier.uri | http://hdl.handle.net/10203/274750 | - |
dc.description.abstract | A 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.language | English | - |
dc.publisher | IEEE | - |
dc.title | GPU Enabled Serverless Computing Framework | - |
dc.type | Conference | - |
dc.identifier.wosid | 000443807600081 | - |
dc.identifier.scopusid | 2-s2.0-85048842203 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 533 | - |
dc.citation.endingpage | 540 | - |
dc.citation.publicationname | 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Univ Cambridge, Comp Lab, Cambridge, ENGLAND | - |
dc.identifier.doi | 10.1109/PDP2018.2018.00090 | - |
dc.contributor.localauthor | Kim, Daeyoung | - |
dc.contributor.nonIdAuthor | Kim, Jaewook | - |
dc.contributor.nonIdAuthor | Jun, Tae Joon | - |
dc.contributor.nonIdAuthor | Kang, Daeyoun | - |
dc.contributor.nonIdAuthor | Kim, Dohyeun | - |
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