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Proceedings Article, Paper
@InProceedings
Beitrag in Tagungsband, Workshop

Author, Editor
Author(s):
Fekete, Sándor P.
Fiethe, Björn
Friedrichs, Stephan
Michalik, Harald
Orlis, Christos
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Not MPG Author(s):
Fekete, Sándor P.
Fiethe, Björn
Friedrichs, Stephan
Michalik, Harald
Orlis, Christos
Editor(s):
BibTeX cite key*:
fffmo-eropmoffsi-14
Title, Booktitle
Title*:
Efficient reconfiguration of processing modules on FPGAs for space instruments
Booktitle*:
Adaptive Hardware and Systems (AHS), 2014 NASA/ESA Conference on
Event, URLs
Conference URL::
http://www2.le.ac.uk/conference/previous/ahs2014
Downloading URL:
Event Address*:
Leicester, UK
Language:
English
Event Date*
(no longer used):
Organization:
Event Start Date:
14 July 2014
Event End Date:
18 July 2014
Publisher
Name*:
IEEE
URL:
http://ieeexplore.ieee.org/
Address*:
New York, USA
Type:
Vol, No, Year, pp.
Series:
Adaptive Hardware and Systems
Volume:
Number:
Month:
July
Pages:
15-22
Year*:
2014
VG Wort Pages:
ISBN/ISSN:
Sequence Number:
DOI:
10.1109/AHS.2014.6880153
Note, Abstract, ©
(LaTeX) Abstract:
We consider optimization techniques for a problem that requires a valid scheduling and allocation of tasks on Field Programmable Gate Arrays (FPGAs). A concrete application on a scientific space instrument arises in the context of ESA's Solar Orbiter mission; making use of dynamic reconfiguration allows a good and flexible use of resources, but the resulting packing and scheduling problems in the presence of inhomogeneous allocation resources are quite challenging. In our scenario, modules are described by three parameters: their resource demands for different types of resources, their priority, and their clock frequency. These are to be allocated on an FPGA that provides a number of different resources that are available at specific locations. We first present an Integer Program that partitions the tasks in such a way that all constraints can be met and the reconfiguration overhead is minimized, and then give methods for allocating the processing modules of the partitioned tasks on the FPGA. We evaluate our methods on a real application of the Solar Orbiter PHI instrument. The results obtained indicate computational efficiency and a remarkable solution quality.
Keywords:
aerospace instrumentation, field programmable gate arrays, scheduling, ESA solar orbiter mission, FPGA, dynamic reconfiguration, field programmable gate arrays, integer program, processing modules, reconfiguration overhead, scheduling, scientific space instrument, solar orbiter PHI instrument, task allocation, Aerospace electronics, Field programmable gate arrays, IP networks, Instruments, Optimization, Resource management, Space vehicles
Download
Access Level:
Internal

Correlation
MPG Unit:
Max-Planck-Institut für Informatik
MPG Subunit:
Algorithms and Complexity Group
External Affiliations:
TU Braunschweig
Audience:
experts only
Appearance:
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{fffmo-eropmoffsi-14,
AUTHOR = {Fekete, S{\'a}ndor P. and Fiethe, Bj{\"o}rn and Friedrichs, Stephan and Michalik, Harald and Orlis, Christos},
TITLE = {Efficient reconfiguration of processing modules on FPGAs for space instruments},
BOOKTITLE = {Adaptive Hardware and Systems (AHS), 2014 NASA/ESA Conference on},
PUBLISHER = {IEEE},
YEAR = {2014},
PAGES = {15--22},
SERIES = {Adaptive Hardware and Systems},
ADDRESS = {Leicester, UK},
MONTH = {July},
DOI = {10.1109/AHS.2014.6880153},
}


Entry last modified by Stephan Friedrichs, 11/03/2014
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Editor(s)
[Library]
Created
10/08/2014 03:00:51 PM
Revision
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Editor
Stephan Friedrichs
Stephan Friedrichs


Edit Date
10/08/2014 04:11:27 PM
10/08/2014 03:00:51 PM