Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상욱 | - |
dc.date.accessioned | 2016-11-10T06:35:59Z | - |
dc.date.available | 2016-11-10T06:35:59Z | - |
dc.date.issued | 2015-04 | - |
dc.identifier.citation | SAC '15 Proceedings of the 30th Annual ACM Symposium on Applied Computing | en_US |
dc.identifier.isbn | 978-1-4503-3196-8 | - |
dc.identifier.uri | http://dl.acm.org/citation.cfm?doid=2695664.2695943 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/24278 | - |
dc.description.abstract | A solid state device (SSD), which has the characteristics such as high IO bandwidth and low access latency, is drawing attention as a next-generation storage device. Even though SSD provides a high internal bandwidth, the performance bottleneck exists on the host interface of relatively low bandwidth in spite of the increased internal bandwidth of SSD. To overcome the performance bottleneck, the notion of intelligent SSD (iSSD) has been proposed. In iSSD, there are still problems in processing the algorithms of high complexity. In this paper, we address an effective collaboration of iSSD and host CPU in order to maximize the performance of data-intensive algorithms. Extensive experimental results show that our approach performs faster up to 2.43 times than a previous approach. | en_US |
dc.description.sponsorship | This work was supported by (1) Semiconductor Industry Collaborative Project between Hanyang University and Samsung lectronics Co. Ltd., (2) the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2014-H0301-14-1022) supervised by the NIPA (National IT Industry Promotion Agency), and (3) Business (Grants No. C0191469) for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2014. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ACM SAC | en_US |
dc.subject | SSD | en_US |
dc.subject | collaborative approach | en_US |
dc.subject | heterogeneous | en_US |
dc.subject | data-intensive algorithms | en_US |
dc.subject | scheduling | en_US |
dc.title | On Running Data-Intensive Algorithms with Intelligent SSD and Host CPU: A Collaborative Approach | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1145/2695664.2695943 | - |
dc.relation.page | 2060-2065 | - |
dc.contributor.googleauthor | Jo, Yong-Yeon | - |
dc.contributor.googleauthor | Cho, SungWoo | - |
dc.contributor.googleauthor | Kimm, Sang-Wook | - |
dc.contributor.googleauthor | Bae, Duck-Ho | - |
dc.contributor.googleauthor | Oh, Hyunok | - |
dc.relation.code | 20150201 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | wook | - |
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