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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

URL of the conference:

http://www2.le.ac.uk/conference/previous/ahs2014

URL for downloading the paper:


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



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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