The LOFAR correlator: Implementation and performance analysis

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP

Volumn , Issue , 2010, Pages 169-178

  Romein, John W ^a   Broekema, P Chris ^a   Mol, Jan David ^a   Van Nieuwpoort, Rob V ^a  

^a ASTRON   (Netherlands)

Author keywords

Correlator; IBM Blue Gene P; LOFAR

Indexed keywords

BANDWIDTH REQUIREMENT; DISTRIBUTED SENSOR NETWORKS; FREQUENCY RANGES; PERFORMANCE ANALYSIS; PROCESS DATA; REAL TIME REQUIREMENT; TELESCOPE DATA;

ANTENNAS; OPTICAL TELESCOPES; SUPERCOMPUTERS;

PARALLEL PROGRAMMING;

EID: 77749280360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1693453.1693477     Document Type: Conference Paper

References (14)

1. H.R. Butcher. LOFAR: First of a New Generation of Radio Telescopes. Proceedings of the SPIE, 5489:537-544, October 2004.
2. A.G. de Bruyn et al. Exploring the Universe with the Low Frequency Array, A Scientific Case, September 2002. http://www.lofar.org/PDF/NL-CASE-1.0.pdf.
3. A. Deller, S. Tingay, M. Bailes, and C. West. DiFX: A Software Correlator for Very Long Baseline Interferometry Using Multiprocessor Computing Environments. Astronomical Society of the Pacific, 119:318-336, 2007.
4. J. Hessels, B. Stappers, and J. van Leeuwen. The Radio Sky on Short Timescales with LOFAR: Pulsars and Fast Transients. In The Low-Frequency Radio Universe, ASP Conference Series. To appear. http://arxiv.org/pdf/0903. 1447.
5. K. Iskra, J.W. Romein, K. Yoshii, and P. Beckman. ZOID: I/O-Forwarding Infrastructure for Petascale Architectures. In ACM SIGPLAN Symposium on Principles and Practice on Parallel Programming (PPoPP'08), pages 153-162, Salt Lake City, UT, February 2008.
6. N. Kruithof and D. Marchal. Real-time Software Correlation. In International Workshop on Distributed Cooperative Laboratories (INGRID' 08), April 2008. http://www.jive.nl/dokuwiki/doku.php/scarie:scarie.
7. J. Lorenz, S. Kral, F. Franchetti, and C.W. Ueberhuber. Vectorization Techniques for the Blue Gene/L Double FPU. IBM Journal of Research and Development, 49(2/3):437-446, March 2005.
8. R.V. van Nieuwpoort and J.W. Romein. Using Many-Core Hardware to Correlate Radio Astronomy Signals. In ACM International Conference on Supercomputing (ICS'09), pages 440-449, New York, NY, June 2009.
9. S. Ord, L. Greenhill, R. Wayth, D. Mitchell, K. Dale, H. Pfister, and G. Edgar. GPUs for data processing in the MWA. In Astronomical Data Analysis Software and Systems (ADASS XVIII), November 2008. To appear. http://arxiv.org/abs/0902.0915.
10. J.W. Romein. FCNP: Fast I/O on the Blue Gene/P. In Parallel and Distributed Processing Techniques and Applications (PDPTA'09), Las Vegas, NV, July 2009.
11. J.W. Romein, P.C. Broekema, E. van Meijeren, K. van der Schaaf, and W.H. Zwart. Astronomical Real-Time Streaming Signal Processing on a Blue Gene/L Supercomputer. In ACM Symposium on Parallel Algorithms and Architectures (SPAA'06), pages 59-66, Cambridge, MA, July 2006.
12. IBM Blue Gene team. Overview of the IBM Blue Gene/P Project. IBM Journal of Research and Development, 52(1/2), January/March 2008.
13. M. de Vos, A.W. Gunst, and R. Nijboer. The LOFAR Telescope: System Architecture and Signal Processing. Proceedings of the IEEE. To appear.
14. K. Yoshii, K. Iskra, H. Naik, and P.C. Broekema P. Beckman. Performance and Scalability Evaluation of "Big Memory" on Blue Gene Linux. International Journal of High Performance Computing. To appear.