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  • 1.
    Behnam, Moris
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Ciccozzi, Federico
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Sjödin, Mikael
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Bruhn, Fredrik
    Bruhnspace AB, Uppsala, Sweden .
    Software architecture for next generation hyperparallel cyber-physical hardware platforms: challenges and opportunities2015In: ECSAW '15 Proceedings of the 2015 European Conference on Software Architecture Workshops, 2015, Vol. Article No. 19Conference 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.

  • 2.
    Bergman, Jan E. S.
    et al.
    Swedish Institute of Space Physics, Sweden.
    Bruhn, Fredrik
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Funk, Peter
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Isham, Brett
    Interamerican University of Puerto Rico, Bayamón, Puerto Rico.
    Rincon-Charris, Amilcar
    Interamerican University of Puerto Rico, Bayamón, Puerto Rico.
    Capo-Lugo, Pedro
    NASA Marshall Space Flight Center, Huntsville, Alabama, USA.
    Åhlen, Lennart
    Swedish Institute of Space Physics, Sweden.
    Exploiting Artificial Intelligence for Analysis and Data Selection on-board the Puerto Rico CubeSat2015Conference paper (Refereed)
  • 3.
    Bruhn, Fredrik
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Brunberg, Kjell
    BAP, Uppsala, Sweden.
    Hines, John
    Independent Consultant.
    Asplund, Lars
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Norgren, Magnus
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. BAP, Uppsala, Sweden.
    Introducing Radiation Tolerant Heterogeneous Computers for Small Satellites2015In: IEEE Aerospace Conference Proceedings, vol. 2015, 2015, Vol. 2015, p. Article number 7119158-Conference 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.

  • 4.
    Bruhn, Fredrik
    et al.
    Uppsala University.
    Kratz, Henrik
    Uppsala University.
    Stenmark, Lars
    Uppsala University.
    Warell, Johan
    Uppsala University.
    Lagerkvist, Claes-Ingvar
    Uppsala University.
    Kaznov, Viktor
    Rotundus AB, Sweden.
    Jones, Jack
    California Institute of Technology, Jet Propulsion Laboratory.
    A preliminary design for a spherical inflatable microrover for planetary exploration2008In: Acta Astronautica, ISSN 0094-5765, E-ISSN 1879-2030, Vol. 63, no 5-6, p. 618-631Article in journal (Refereed)
    Abstract [en]

    The Spherical Mobile Investigator for Planetary Surface (SMIPS) concept aims at making use of the latest developments within extreme miniaturization of space systems. The introduction of Microelectromechanical Systems (MEMSs) and higher level Multifunctional MicroSystems (MMSs) design solutions gives the robot high performance per weight unit. The untraditional spherical shape makes it easily maneuverable and thus provides a platform for scientific investigations of interplanetary bodies. Preliminary investigations of the SMIPS concept show several advantages over conventional robots and rovers in maneuverability, coverage, size, and mass. A locomotion proof-of-concept has been studied together with a new distributed on-board data system configuration. This paper discusses theoretical robot analysis, an overall concept, possible science, enabling technologies, and how to perform scientific investigations. A preliminary design of an inflatable multifunctional shell is proposed.

  • 5.
    Bruhn, Fredrik
    et al.
    Uppsala University, Sweden.
    Lindegren, Robert
    AAC Microtec AB, Sweden.
    Lyke, James
    Air Force Research Laboratory.
    Henderson, B K
    Calixte-Rosengren, Josette
    Swedish Defence Materiel Administration (FMW), Sweden.
    Nordenberg, R
    International Harmonization of Plug-and-Play Technology for Modular and Reconfigurable Rapid Response Nanosatellites2010Conference paper (Refereed)
  • 6.
    Bruhn, Fredrik
    et al.
    AAC Microtec AB.
    Schulte, Jan
    AAC Microtec AB.
    Freyer, J
    AAC Microtec North America Inc.
    NJORD: A Plug-and-Play based Fault Tolerant CubeSat Architecture2012Conference paper (Refereed)
  • 7.
    Bruhn, Fredrik
    et al.
    Uppsala University, Sweden.
    von Krusenstierna, Nina
    Ångström Aerospace Corporation.
    Habinc, Sandi
    Aeroflex Gaisler.
    Gruener, Gabriel
    CSEM.
    Rusconi, Andrea
    Selex Galileo (Galileo Avionica).
    Waugh, Lester
    Astrium UK Ltd.
    Richter, Lutz
    DLR Institute of Space Systems.
    Lamoureux, Enrique
    Uppsala University, Department of Engineering Sciences.
    Low Temperature Miniaturized Motion Control Chip: Enabled by MEMS and Microelectronics2008Conference paper (Refereed)
  • 8.
    Habinc, Sandi
    et al.
    Aeroflex Gaisler.
    Ekergarn, Jonas
    Aeroflex Gaisler.
    Glembo, Kristoffer
    Aeroflex Gaisler.
    Gruener, Gabriel
    CSEM.
    Bruhn, Fredrik
    Uppsala University, Sweden.
    Using a FLASH based FPGA in a Miniaturized Motion Control Chip2009Conference paper (Refereed)
  • 9.
    Lyke, James
    et al.
    Air Force Research Laboratory.
    Mee, Jesse
    Air Force Research Laboratory.
    Bruhn, Fredrik
    AAC Microtec AB.
    Chosson, Gael
    AAC Microtec AB.
    Lindegren, Robert
    AAC Microtec AB.
    Löfgren, Henrik
    AAC Microtec AB.
    Schulte, Jan
    AAC Microtec AB.
    Cannon, Scott
    Utah State University.
    Christensen, Jacob
    Utah State University.
    Hansen, Bryan
    Space Dynamics Laboratory.
    Vick, Robert
    SAIC.
    Vera, Alonzo
    SAIC.
    Calixte-Rosengren, Josette
    Swedish Defence Materiel Administration (FMW).
    A Plug-and-play Approach Based on the I2C Standard2010Conference paper (Refereed)
  • 10.
    Tsog, Nandinbaatar
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Becker, Matthias
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Larsson, Marcus
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Bruhn, Fredrik
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Behnam, Moris
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Sjödin, Mikael
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Malardalen Univ, Sch Innovat Design & Engn, DPAC Res Profile, Vasteras, Sweden..
    Poster Abstract: Real-Time Capabilities of HSA Compliant COTS Platforms2016In: PROCEEDINGS OF 2016 IEEE REAL-TIME SYSTEMS SYMPOSIUM (RTSS), 2016, p. 364-364Conference paper (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.

  • 11.
    Tsog, Nandinbaatar
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Behnam, Moris
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Nolin, Mikael
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Bruhn, Fredrik
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Intelligent Data Processing using In-Orbit Advanced Algorithms on Heterogeneous System Architecture2018In: IEEE Aerospace Conference 2018 IEEEAC2018, 2018, p. 1-8Conference 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.

  • 12.
    Tsog, Nandinbaatar
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Sjödin, Mikael
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Bruhn, Fredrik
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Advancing On-Board Big Data Processing Using Heterogeneous System Architecture2018In: ESA/CNES 4S Symposium 4S 2018, 2018Conference paper (Refereed)
1 - 12 of 12
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