Please use this identifier to cite or link to this item: http://thuvienso.dut.udn.vn/handle/DUT/4129
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dc.contributor.advisorNguyễn, Văn Cường, PGS.TS
dc.contributor.advisorPhạm, Quốc Việt
dc.contributor.authorVõ, Ngọc Hải
dc.contributor.authorTrần, Thị Kim Dung
dc.contributor.authorNguyễn, Hữu Thanh Quang
dc.date.accessioned2024-11-06T05:20:27Z-
dc.date.available2024-11-06T05:20:27Z-
dc.date.issued2020
dc.identifier.urihttp://thuvienso.dut.udn.vn/handle/DUT/4129-
dc.descriptionDA.FA.21.036; 81 tr.vi
dc.description.abstractAs artificial intelligence approaches the accuracy and speed of the human brain, systems increasingly rely on centralized servers connecting applications from the edge to the cloud. We are in a steep growth and an explosion in the wide range of devices connected to the Internet in combination with the rapid increase in Internet traffic. This means that today's systems have many cases that need to be searched very quickly. Among many options can be chosen by designers to execute these searches, the most effective approach involves using content addressable memories (CAM).vi
dc.language.isovivi
dc.publisherTrường Đại học Bách khoa - Đại học Đà Nẵngvi
dc.subjectKỹ thuật Điện tử - Viễn thôngvi
dc.subjectCamvi
dc.titlePartial pipeline search technique to reduce power for a 16kb high-speed tcam on 10nm technologyvi
dc.typeĐồ ánvi
item.grantfulltextrestricted-
item.languageiso639-1vi-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCó toàn văn-
item.openairetypeĐồ án-
item.cerifentitytypePublications-
Appears in Collections:DA.Điện tử - Viễn thông
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