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Using Heterogeneous Computing on GPU Accelerated Systems to Advance On-Board Data Processing
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. ES (Embedded Systems).ORCID iD: 0000-0001-7586-0409
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Unibap AB, Sweden.ORCID iD: 0000-0002-8785-5380
2019 (English)In: European Workshop on On-Board Data Processing 2019 OBDP2019, 2019Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2019.
Keywords [en]
Heterogeneous Computing, GPU accelerated On-Board Data Processing, Advanced On-Board Data Processing
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-45490OAI: oai:DiVA.org:mdh-45490DiVA, id: diva2:1366427
Conference
European Workshop on On-Board Data Processing 2019 OBDP2019, 25 Feb 2019, Amsterdam, Netherlands
Projects
DPAC - Dependable Platforms for Autonomous systems and ControlAvailable from: 2019-10-29 Created: 2019-10-29 Last updated: 2019-10-29Bibliographically approved

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Tsog, NandinbaatarSjödin, MikaelBruhn, Fredrik

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CiteExportLink to record
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  • apa
  • ieee
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