Rodyti trumpą aprašą

dc.contributor.authorSledevič, Tomyslav
dc.date.accessioned2023-09-18T20:23:18Z
dc.date.available2023-09-18T20:23:18Z
dc.date.issued2019
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/149521
dc.description.abstractThe article presents application of DMA controllers in conjunction with ZynQ SoC high performance ports for data streaming to convolution core implemented on programmable logic. The core processes AXI stream directly receiving data on 8 input channels and pushes results from 8 output channels on stream-to-memory-map bus. Two AXI streaming interfaces are synchronized in FPGA direction and second two - in DDR memory direction achieving peak 762 MB/s write and read throughput. The performance of hardware/software co-design of 16 bit CNN is restricted by frequent access to DDR due to core sharing in a time through all layers. Nevertheless, proposed CNN architecture executes 32.8 GOPS running at 50 MHz and it can be applied to solve object detection tasks with tiny nets.eng
dc.formatPDF
dc.format.extentp. 1-4
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyIEEE Xplore
dc.relation.isreferencedbyScopus
dc.source.urihttps://ieeexplore.ieee.org/abstract/document/8977065
dc.titleSynchronization of AXI streaming interfaces for convolution core implementation on FPGA
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references23
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0202 - Išmaniosios signalų apdorojimo ir ryšių technologijos / Smart Signal Processing and Telecommunication Technologies
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enconvolutional neural network
dc.subject.enFPGA
dc.subject.enAXI interface
dc.subject.enDirect Memory Access
dc.subject.enhardware/software co-design
dcterms.sourcetitle7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE’2019), 15-16 November 2019, Liepaja, Latvia : proceedings
dc.publisher.nameIEEE
dc.publisher.cityNew York
dc.identifier.doi000542912800021
dc.identifier.doi10.1109/AIEEE48629.2019.8977065
dc.identifier.elaba55920777


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