Parallelism and data movement characterization of contemporary application classes
Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures
Proceedings of the 8th ACM International Conference on Computing Frontiers
Pinned to the walls: impact of packaging and application properties on the memory and power walls
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Performance, Power, and Thermal Analysis of Low-Power Processors for Scale-Out Systems
IPDPSW '11 Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum
An efficient work-distribution strategy for gridding radio-telescope data on GPUs
Proceedings of the 26th ACM international conference on Supercomputing
Big-data applications in the government sector
Communications of the ACM
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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'.