P. Chris Broekema
ABSTRACT
The computational and storage demands for the future Square Kilometer Array (SKA) radio telescope are significant. Building on the experience gained with the collaboration between ASTRON and IBM with the Blue Gene based LOFAR correlator, ASTRON and IBM have now embarked on a public-private exascale computing research project aimed at solving the SKA computing challenges. This project, called DOME, investigates novel approaches to exascale computing, with a focus on energy efficient, streaming data processing, exascale storage, and nano-photonics. DOME will not only benefit the SKA, but will also make the knowledge gained available to interested third parties via a Users Platform. The intention of the DOME project is to evolve into the global center of excellence for transporting, processing, storing and analyzing large amounts of data for minimal energy cost: the 'ASTRON & IBM Center for Exascale Technology'.
- Victoria Caparrós Cabezas and Phillip Stanley-Marbell. Parallelism and data movement characterization of contemporary application classes. In ACM Symposium on Parallelism in Algorithms and Architectures (SPAA'11), pages 95--104, New York, NY, June 2011. Google Scholar
Digital Library
- Victoria Caparrós Cabezas and Phillip Stanley-marbell. Quantitative analysis of parallelism and data movement properties across the berkeley computational motifs. In ACM International Conference on Computing Frontiers (CF'11), New York, NY, May 2011. Google ScholarDigital Library
- R. V. van Nieuwpoort and J. W. Romein. Correlating Radio Astronomy Signals with Many-Core Hardware. International Journal of Parallel Processing, 1(39):88--114, February 2011.Google Scholar
- Peter M. Kogge et al. ExaScale Computing Study: Technology Challenges in Achieving ExaScale Systems, September 2008.Google Scholar
- John W. Romein. An Efficient Work-Distribution Strategy for Gridding Radio-Telescope Data on GPUs. In ACM International Conference on Supercomputing (ICS'12), Venice, Italy, June 2012. Google ScholarDigital Library
- Phillip Stanley-Marbell and Victoria Caparrós Cabezas. Performance, power, and thermal analysis of low-power processors for scale-out systems. In IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW'11), pages 863--870, Shanghai, China, May 2011. Google ScholarDigital Library
- Phillip Stanley-Marbell, Victoria Caparrós Cabezas, and Ronald P. Luijten. Pinned to the walls - impact of packaging and application properties on the memory and power walls. In IEEE International Symposium on Low Power Electronics and Design (ISLPED'11), pages 51--56, Fukuoka, Japan, August 2011. Google ScholarDigital Library
- Rob V. van Nieuwpoort and John W. Romein. Building Correlators with Many-Core Hardware. IEEE Signal Processing Magazine (special issue on "Signal Processing on Platforms with Multiple Cores: Part 2 -- Design and Applications"), 27(2):108--117, March 2010.Google Scholar
Index Terms
- DOME: towards the ASTRON & IBM center for exascale technology
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