DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahn, Shinyoimg | ko |
dc.contributor.author | Kim, Joongheon | ko |
dc.contributor.author | Kang, Sungwon | ko |
dc.date.accessioned | 2018-11-22T06:58:05Z | - |
dc.date.available | 2018-11-22T06:58:05Z | - |
dc.date.created | 2018-11-13 | - |
dc.date.created | 2018-11-13 | - |
dc.date.created | 2018-11-13 | - |
dc.date.issued | 2018-05 | - |
dc.identifier.citation | 40th ACM/IEEE International Conference on Software Engineering, ICSE 2018, pp.191 - 192 | - |
dc.identifier.uri | http://hdl.handle.net/10203/246841 | - |
dc.description.abstract | This paper proposes a novel virtual shared memory framework, Soft Memory Box (SMB), which directly shares the memory of remote nodes among distributed processes to improve communication performance/speed via deep learning parameter sharing. | - |
dc.language | English | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Poster: A novel shared memory framework for distributed deep learning in high-performance computing architecture | - |
dc.type | Conference | - |
dc.identifier.wosid | 000450109000066 | - |
dc.identifier.scopusid | 2-s2.0-85048260468 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 191 | - |
dc.citation.endingpage | 192 | - |
dc.citation.publicationname | 40th ACM/IEEE International Conference on Software Engineering, ICSE 2018 | - |
dc.identifier.conferencecountry | SW | - |
dc.identifier.conferencelocation | Congress center Gothia Towers | - |
dc.identifier.doi | 10.1145/3183440.3195091 | - |
dc.contributor.localauthor | Ahn, Shinyoimg | - |
dc.contributor.nonIdAuthor | Kim, Joongheon | - |
dc.contributor.nonIdAuthor | Kang, Sungwon | - |
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