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Publications (10 of 12) Show all publications
Tsog, N., Sjödin, M. & Bruhn, F. (2018). Advancing On-Board Big Data Processing Using Heterogeneous System Architecture. In: ESA/CNES 4S Symposium 4S 2018: . Paper presented at ESA/CNES 4S Symposium 4S 2018, 28 May 2018, Sorrento, Italy.
Open this publication in new window or tab >>Advancing On-Board Big Data Processing Using Heterogeneous System Architecture
2018 (English)In: ESA/CNES 4S Symposium 4S 2018, 2018Conference paper, Poster (with or without abstract) (Refereed)
Keywords
Heterogeneous System Architecture (HSA)Onboard ProcessingBig DataCPU-GPUCaffe (Convolutional Architecture for Fast Feature Embedding)ROCmSmall SatelliteCubeSatImagenet
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-39269 (URN)
Conference
ESA/CNES 4S Symposium 4S 2018, 28 May 2018, Sorrento, Italy
Projects
DPAC - Dependable Platforms for Autonomous systems and Control
Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2018-05-23Bibliographically approved
Tsog, N., Behnam, M., Nolin, M. & Bruhn, F. (2018). Intelligent Data Processing using In-Orbit Advanced Algorithms on Heterogeneous System Architecture. In: IEEE Aerospace Conference 2018 IEEEAC2018: . Paper presented at IEEE Aerospace Conference 2018 IEEEAC2018, 03 Mar 2018, Big Sky, United States (pp. 1-8).
Open this publication in new window or tab >>Intelligent Data Processing using In-Orbit Advanced Algorithms on Heterogeneous System Architecture
2018 (English)In: IEEE Aerospace Conference 2018 IEEEAC2018, 2018, p. 1-8Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, commercial exploitation of small satellites and CubeSats has rapidly increased. Time to market of processed customer data products is becoming an important differentiator between solution providers and satellite constellation operators. Timely and accurate data dissemination is the key to success in the commercial usage of small satellite constellations which is ultimately dependent on a high degree of autonomous fleet management and automated decision support. The traditional way for disseminating data is limited by on the communication capability of the satellite and the ground terminal availability. Even though cloud computing solutions on the ground offer high analytical performance, getting the data from the space infrastructure to the ground servers poses a bottleneck of data analysis and distribution. On the other hand, adopting advanced and intelligent algorithms onboard offers the ability of autonomy, tasking of operations, and fast customer generation of low latency conclusions, or even real-time communication with assets on the ground or other sensors in a multi-sensor configuration. In this paper, the advantages of intelligent onboard processing using advanced algorithms for Heterogeneous System Architecture (HSA) compliant onboard data processing systems are explored. The onboard data processing architecture is designed to handle a large amount of high-speed streaming data and provides hardware redundancy to be qualified for the space mission application domain. We conduct an experimental study to evaluate the performance analysis by using image recognition algorithms based on an open source intelligent machine library 'MIOpen' and an open standard 'OpenVX'. OpenVX is a cross-platform computer vision library.

Series
IEEE Aerospace Conference Proceedings, ISSN 1095-323X
Keywords
Heterogeneous System Architecture (HSA)Intelligent Data ProcessingMIOpenOpenVXCubeSatCPU-GPUEnergy consumption
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-38628 (URN)10.1109/AERO.2018.8396536 (DOI)2-s2.0-85049840022 (Scopus ID)
Conference
IEEE Aerospace Conference 2018 IEEEAC2018, 03 Mar 2018, Big Sky, United States
Projects
DPAC - Dependable Platforms for Autonomous systems and Control
Available from: 2018-03-06 Created: 2018-03-06 Last updated: 2018-09-18Bibliographically approved
Tsog, N., Becker, M., Larsson, M., Bruhn, F., Behnam, M. & Sjödin, M. (2016). Poster Abstract: Real-Time Capabilities of HSA Compliant COTS Platforms. In: PROCEEDINGS OF 2016 IEEE REAL-TIME SYSTEMS SYMPOSIUM (RTSS): . Paper presented at 37th IEEE Real-Time Systems Symposium (RTSS), NOV 29-DEC 02, 2016, Porto, PORTUGAL (pp. 364-364).
Open this publication in new window or tab >>Poster Abstract: Real-Time Capabilities of HSA Compliant COTS Platforms
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2016 (English)In: PROCEEDINGS OF 2016 IEEE REAL-TIME SYSTEMS SYMPOSIUM (RTSS), 2016, p. 364-364Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

During recent years, the interest in using heterogeneous computing architecture in industrial applications has increased dramatically. These architectures provide the computational power that makes them attractive for many industrial applications. However, most of these existing heterogeneous architectures suffer from the following limitations: difficulties of heterogeneous parallel programming and high communication cost between the computing units. To overcome these disadvantages, several leading hardware manufacturers have formed the HSA Foundation to develop a new hardware architecture: Heterogeneous System Architecture (HSA). In this paper, we investigate the suitability of using HSA for real-time embedded systems. A preliminary experimental study has been conducted to measure massive computing power and timing predictability of HSA.

National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-35361 (URN)10.1109/RTSS.2016.043 (DOI)000399156600034 ()2-s2.0-85011691127 (Scopus ID)978-1-5090-5303-2 (ISBN)
Conference
37th IEEE Real-Time Systems Symposium (RTSS), NOV 29-DEC 02, 2016, Porto, PORTUGAL
Available from: 2017-05-19 Created: 2017-05-19 Last updated: 2019-01-16Bibliographically approved
Bergman, J. E. S., Bruhn, F., Funk, P., Isham, B., Rincon-Charris, A., Capo-Lugo, P. & Åhlen, L. (2015). Exploiting Artificial Intelligence for Analysis and Data Selection on-board the Puerto Rico CubeSat. In: : . Paper presented at European Planetary Science Congress 2015, held 27 September - 2 October, 2015 in Nantes, France.
Open this publication in new window or tab >>Exploiting Artificial Intelligence for Analysis and Data Selection on-board the Puerto Rico CubeSat
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2015 (English)Conference paper, Published paper (Refereed)
Keywords
Artificial Intelligence, Cube Satellite, Heterogoeneous Computing
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-35422 (URN)
Conference
European Planetary Science Congress 2015, held 27 September - 2 October, 2015 in Nantes, France
Projects
GIMME-SPACE
Available from: 2017-06-12 Created: 2017-06-12 Last updated: 2017-06-12Bibliographically approved
Bruhn, F., Brunberg, K., Hines, J., Asplund, L. & Norgren, M. (2015). Introducing Radiation Tolerant Heterogeneous Computers for Small Satellites. In: IEEE Aerospace Conference Proceedings, vol. 2015: . Paper presented at IEEE Aerospace Conference 2015 IEEEAC2015, 7-14 Mar 2015, Big Sky, United States (pp. Article number 7119158). , 2015
Open this publication in new window or tab >>Introducing Radiation Tolerant Heterogeneous Computers for Small Satellites
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2015 (English)In: IEEE Aerospace Conference Proceedings, vol. 2015, 2015, Vol. 2015, p. Article number 7119158-Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents results and conclusions from design, manufacturing, and benchmarking of a heterogeneous computing low power fault tolerant computer, realized on an industrial Qseven® small form factor (SFF) platform. A heterogeneous computer in this context features multi-core processors (CPU), a graphical processing unit (GPU), and a field programmable gate array (FPGA). The x86 compatible CPU enables the use of vast amounts of commonly available software and operating systems, which can be used for space and harsh environments. The developed heterogeneous computer shares the same core architecture as game consoles such as Microsoft Xbox One and Sony Playstation 4 and has an aggregated computational performance in the TFLOP range. The processing power can be used for on-board intelligent data processing and higher degrees of autonomy in general. The module feature quad core 1.5 GHz 64 bit CPU (24 GFLOPs), 160 GPU shader cores (127 GFLOPs), and a 12 Mgate equivalent FPGA fabric with a safety critical ARM® Cortex-M3 MCU.

Keywords
Heterogeneous computing, heterogeneous system architecture, onboard processing
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:mdh:diva-28127 (URN)10.1109/AERO.2015.7119158 (DOI)000380501302091 ()2-s2.0-84940703986 (Scopus ID)9781479953790 (ISBN)
Conference
IEEE Aerospace Conference 2015 IEEEAC2015, 7-14 Mar 2015, Big Sky, United States
Projects
GIMME3 - Semi-fault tolerant next generation high performance computer architecture based on screened industrial components
Available from: 2015-06-12 Created: 2015-06-08 Last updated: 2018-01-11Bibliographically approved
Behnam, M., Ciccozzi, F., Sjödin, M. & Bruhn, F. (2015). Software architecture for next generation hyperparallel cyber-physical hardware platforms: challenges and opportunities. In: ECSAW '15 Proceedings of the 2015 European Conference on Software Architecture Workshops: . Paper presented at 1st International Workshop on Software Architectures for Next-generation Cyber-physical Systems SANCS 2015, 07 Sep 2015, Dubrovnik/Cavtat, Croatia. , Article No. 19
Open this publication in new window or tab >>Software architecture for next generation hyperparallel cyber-physical hardware platforms: challenges and opportunities
2015 (English)In: ECSAW '15 Proceedings of the 2015 European Conference on Software Architecture Workshops, 2015, Vol. Article No. 19Conference paper, Published paper (Refereed)
Abstract [en]

We present what is destined to become the de-facto standard for hardware platforms for next generation cyber-physical systems. Heterogeneous System Architecture (HSA) is an initiative to harmonize the industry around a common architecture which is easier to program and is an open standard defining the key interfaces for parallel computation. Since HSA is supported by virtually all major players in the silicon market we can conjecture that HSA, with its capabilities and quirks, will highly influence both the hardware and software for next generation cyber-physical systems. In this paper we describe HSA and discuss how its nature will influence architectures of system software and application software. Specifically, we believe that the system software needs to both leverage the hyperparallel nature of HSA while providing predictable and efficient resource allocation to different parallel activities. The application software, on the other hand, should be isolated from the complexity of the hardware architecture but yet be able to efficiently use the full potential of the hyperparallel nature of HSA.

Series
ACM International Conference Proceeding Series
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-30032 (URN)10.1145/2797433.2797452 (DOI)2-s2.0-84958549426 (Scopus ID)978-1-4503-3393-1 (ISBN)
Conference
1st International Workshop on Software Architectures for Next-generation Cyber-physical Systems SANCS 2015, 07 Sep 2015, Dubrovnik/Cavtat, Croatia
Available from: 2015-12-18 Created: 2015-12-18 Last updated: 2016-03-03Bibliographically approved
Bruhn, F., Schulte, J. & Freyer, J. (2012). NJORD: A Plug-and-Play based Fault Tolerant CubeSat Architecture. In: : . Paper presented at ESA/CNES Small Satellites, Services, and Systems (4S Symposium), 4-8 June 2012, Portoroz, Slovenia, CubeSat Workshop v.7.
Open this publication in new window or tab >>NJORD: A Plug-and-Play based Fault Tolerant CubeSat Architecture
2012 (English)Conference paper, Published paper (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mdh:diva-23917 (URN)
Conference
ESA/CNES Small Satellites, Services, and Systems (4S Symposium), 4-8 June 2012, Portoroz, Slovenia, CubeSat Workshop v.7
Available from: 2013-12-27 Created: 2013-12-21 Last updated: 2014-02-07Bibliographically approved
Lyke, J., Mee, J., Bruhn, F., Chosson, G., Lindegren, R., Löfgren, H., . . . Calixte-Rosengren, J. (2010). A Plug-and-play Approach Based on the I2C Standard. In: : . Paper presented at 24th Annual Conference on Small Satellites, Logan, UT, 8-11 August 2010.
Open this publication in new window or tab >>A Plug-and-play Approach Based on the I2C Standard
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2010 (English)Conference paper, Published paper (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mdh:diva-23913 (URN)
Conference
24th Annual Conference on Small Satellites, Logan, UT, 8-11 August 2010
Available from: 2013-12-27 Created: 2013-12-21 Last updated: 2017-02-10Bibliographically approved
Bruhn, F., Lindegren, R., Lyke, J., Henderson, B. K., Calixte-Rosengren, J. & Nordenberg, R. (2010). International Harmonization of Plug-and-Play Technology for Modular and Reconfigurable Rapid Response Nanosatellites. In: : . Paper presented at European Space Agency Small Satellite Services and Systems (4S Symposium), 31 May - 4 June 2010, Funchal, Madeira.
Open this publication in new window or tab >>International Harmonization of Plug-and-Play Technology for Modular and Reconfigurable Rapid Response Nanosatellites
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2010 (English)Conference paper, Published paper (Refereed)
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-23916 (URN)
Conference
European Space Agency Small Satellite Services and Systems (4S Symposium), 31 May - 4 June 2010, Funchal, Madeira
Available from: 2013-12-27 Created: 2013-12-21 Last updated: 2016-02-16Bibliographically approved
Habinc, S., Ekergarn, J., Glembo, K., Gruener, G. & Bruhn, F. (2009). Using a FLASH based FPGA in a Miniaturized Motion Control Chip. In: : . Paper presented at Military/Aerospace Programmable Logic Device (MAPLD) 2009, NASA Goddard, Aug. 31- Sept 3, 2009.
Open this publication in new window or tab >>Using a FLASH based FPGA in a Miniaturized Motion Control Chip
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2009 (English)Conference paper, Published paper (Refereed)
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-23911 (URN)
Conference
Military/Aerospace Programmable Logic Device (MAPLD) 2009, NASA Goddard, Aug. 31- Sept 3, 2009
Available from: 2013-12-27 Created: 2013-12-20 Last updated: 2016-02-12Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8785-5380

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