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dc.contributor.authorTokusashi, Yuta
dc.contributor.authorMatsutani, Hiroki
dc.contributor.authorZilberman, N
dc.date.accessioned2019-01-16T00:30:32Z
dc.date.available2019-01-16T00:30:32Z
dc.date.issued2018
dc.identifier.isbn9781728119687
dc.identifier.issn2325-6532
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288017
dc.description.abstractIn-network computing accelerates applications natively running on the host by executing them within network devices. While in-network computing offers significant performance improvements, its limitations and design trade-offs have not been explored. To usefully and efficiently run applications within the network, we first need to understand the implications of their design. In this work we introduce LaKe, a Layered Key-Value Store design, running as an in-network application. LaKe is a scalable design, enabling the exploration of design decisions and their effect on throughput, latency and power efficiency. LaKe achieves full line rate throughput, while maintaining a latency of 1.1μs and better power efficiency than existing hardware based memcached designs.
dc.description.sponsorshipThis work was supported by JSPS Research Fellowship and Keio University Research Grant for Young Researcher’s Program. This work was supported by JST CREST Grant Number JPMJCR1785, Japan. We acknowledge the support of the Leverhulme Trust (ECF-2016-289) and the Isaac Newton Trust.
dc.publisherIEEE
dc.titleLaKe: The Power of In-Network Computing
dc.typeConference Object
prism.publicationName2018 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2018
dc.identifier.doi10.17863/CAM.35336
dcterms.dateAccepted2018-10-05
rioxxterms.versionofrecord10.1109/RECONFIG.2018.8641696
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-10-05
dc.contributor.orcidZilberman, Noa [0000-0002-3655-2873]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idLeverhulme Trust (ECF-2016-289)
pubs.funder-project-idIsaac Newton Trust (1608(as))
cam.issuedOnline2019-02-14
pubs.conference-nameRecCnfig 2018: International Conference on Reconfigurable Computing and FPGAs
pubs.conference-start-date2018-12-03
pubs.conference-finish-date2018-12-05


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