P. Chris Broekema
Theses
Commodity compute- and data-transport system design in modern
large-scale distributed radio telescopes
PhD Thesis, Vrije Universiteit Amsterdam, 2020
Numerical analysis of the LOFAR remote station beamformer
Masters thesis, Rijksuniversiteit Groningen, 2004
Papers
System- and Software-level Architecting Harmonization Practices for Systems-of-Systems
An exploratory case study on a long-running large-scale scientific instrument
Héctor Cadavid, Vasilios Adrikopoulos, Paris Avgeriou, and P. Chris
Broekema
18th IEEE International Conference on Software Architecture 2021,
Stuttgart, Germany, March 22-26 2021
Pre-print available on ArXiv: https://arxiv.org/abs/2101.12676.
© 2021 IEEE
On optimising cost and value in compute systems for radio astronomy
P. Chris Broekema, Verity Allan, Rob V. van Nieuwpoort, Henri E. Bal
Astronomy and Computing, Volume 30, January 2020
https://doi.org/10.1016/j.ascom.2019.100337
Pre-print available on ArXiv: https://arxiv.org/abs/1806.06606
Cobalt: A GPU-based correlator and beamformer for LOFAR
P. Chris Broekema,
J. Jan David Mol,
Ronald Nijboer,
Alexander S. van Amesfoort,
Michiel A. Brentjens,
G. Marcel Loose,
John W. Romein
Astronomy and Computing, Volume 23, April 2018, pages 180-192
https://doi.org/10.1016/j.ascom.2018.04.006
Pre-print available on ArXiv: https://arxiv.org/abs/1801.04834.
Software-defined networks in large-scale radio telescopes
P. Chris Broekema,
Damiaan R. Twelker,
Daniel C. Romão,
Paola Grosso,
Rob V. van Nieuwpoort,
Henri E. Bal
Computing Frontiers, May 15-17, Sienna, Italy
doi:10.1145/3075564.3075594
© 2017 Copyright held by the owner/author(s). Publication rights
licensed to ACM. This is the author's version of the work. It is posted here for
your personal use. Not
for redistribution. The definitive Version of Record was published in
Proceedings of
CF'17, May 15-17, 2017, http://dx.doi.org/10.1145/3075564.3075594.
Energy-Efficient Data Transfers in Radio Astronomy with Software UDP RDMA
Przemyslaw Lenkiewicz,
P. Chris Broekema, and
Bernard Metzler
Future Generation Compute Systems, Volume 79, Part 1, February
2018, pages 215-224, Available online 27 March 2017
http://dx.doi.org/10.1016/j.future.2017.03.027
Pre-print available on ArXiv:
https://arxiv.org/abs/1703.07626
© 2017. This manuscript version is made available under the
CC-BY-NC-ND 4.0 license
http://creativecommons.org/licenses/by-nc-nd/4.0
Energy-Efficient Data Transfers in Radio Astronomy with Software
UDP RDMA
Przemyslaw Lenkiewicz,
P. Chris Broekema, and
Bernard Metzler
The 3nd International Workshop on Innovating the Network for Data Intensive Science (INDIS) 2016
The Square Kilometre Array Science Data Processor - Preliminary Compute Platform Design
P. Chris Broekema,
Rob V. van Nieuwpoort, and
Henri E. Bal
Journal of Instrumentation, Volume 10, Number 07, July, 2015, Pages
C07004
doi:10.1088/1748-0221/10/07/C07004
© 2015 IOP Publishing Ltd and Sissa Medialab srl. This is the author's version of the work. It is posted here with permission for personal use. Not for redistribution.
bibtex entry
ExaScale High Performance Computing in the Square Kilometer Array
P. Chris Broekema,
Rob V. van Nieuwpoort, and
Henri E. Bal
Proceedings of the 2012 workshop on High-Performance Computing for
Astronomy (AstroHPC'12), Delft, the Netherlands, June, 2012
© ACM, 2012. This is the author's version of the work.
It is posted here by permission of ACM for your personal use.
Not for redistribution.
The definitive version of the work has been published in the
proceedings.
bibtex entry
DOME: Towards the ASTRON & IBM Center for ExaScale
Technology
P. Chris Broekema,
Albert-Jan Boonstra, Victoria Caparrós Cabezas, Ton Engbersen, Robert
Haas, Hanno Holties, Jens Jelitto, Ronald P. Luijten, Peter Maat,
Rob V. van Nieuwpoort, Ronald
Nijboer, John W. Romein,
and Bert Jan Offrein
Proceedings of the 2012 workshop on High-Performance Computing for
Astronomy (AstroHPC'12), Delft, the Netherlands, June, 2012
© ACM, 2012. This is the author's version of the work.
It is posted here by permission of ACM for your personal use.
Not for redistribution.
The definitive version of the work has been published in the
proceedings.
bibtex entry
Processing
LOFAR Telescope Data in Real Time on a Blue Gene/P
Supercomputer
John W. Romein,
Jan David Mol,
Rob V. van Nieuwpoort, and
P. Chris Broekema
URSI General Assembly and Scientific Symposium (URSI GASS'11),
Istanbul, Turkey, August, 2011
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However, permission to reprint/republish this material for advertising
or
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bibtex entry
Performance and Scalability Evaluation of 'Big Memory' on Blue Gene
Linux
Kazutomo Yoshii, Kamil Iskra, Harish Naik, Pete Beckman, and P. Chris
Broekema
International Journal of High Performance Computing Applications,
Volume 25, pp. 148-160, May, 2011,
DOI:
10.1177/1094342010369116
bibtex entry
The LOFAR
Correlator: Implementation and Performance Analysis
John W. Romein,
P. Chris Broekema, Jan
David Mol, and Rob V. van Nieuwpoort
ACM Symposium on Principles and Practice of Parallel Programming
(PPoPP'10), Bangalore, India, pp. 169-178, January, 2010
© ACM, 2010. This is the author's version of the work.
It is posted here by permission of ACM for your personal use.
Not for redistribution.
The definitive version of the work has been published in the
proceedings.
bibtex entry
Astronomical Real-Time
Streaming Signal Processing on a Blue Gene/L Supercomputer
John W. Romein,
P. Chris Broekema,
Ellen van Meijeren,
Kjeld van der Schaaf, and
Walther H. Zwart
ACM Symposium on Parallel Algorithms and Architectures (SPAA'06),
Cambridge, MA, pp. 59-66, July, 2006
© ACM, 2006. This is the author's version of the work.
It is posted here by permission of ACM for your personal use.
Not for redistribution.
The definitive version of the work has been published in the
proceedings.
bibtex entry
The LOFAR central processing facility architecture.
K. van der Schaaf, C. Broekema, G. van Diepen, and E. van
Meijeren.
Experimental Astronomy, Volume 17, pp. 43-58, 2004. (also published
in "The SKA: an engineering perspective", edited by Peter J. Hall,
Springer, 2005)
bibtex entry