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Advancing On-Board Big Data Processing Using Heterogeneous System Architecture
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-8096-3891
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7586-0409
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8785-5380
2018 (English)In: ESA/CNES 4S Symposium 4S 2018, 2018Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2018.
Keywords [en]
Heterogeneous System Architecture (HSA)Onboard ProcessingBig DataCPU-GPUCaffe (Convolutional Architecture for Fast Feature Embedding)ROCmSmall SatelliteCubeSatImagenet
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-39269OAI: oai:DiVA.org:mdh-39269DiVA, id: diva2:1209600
Conference
ESA/CNES 4S Symposium 4S 2018, 28 May 2018, Sorrento, Italy
Projects
DPAC - Dependable Platforms for Autonomous systems and ControlAvailable from: 2018-05-23 Created: 2018-05-23 Last updated: 2018-05-23Bibliographically approved

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Tsog, NandinbaatarSjödin, MikaelBruhn, Fredrik

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