MPI versus MPI+OpenMP on IBM SP for the NAS benchmarks
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Performance Analysis of MPI Collective Operations
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15 - Volume 16
Grid'5000: A Large Scale and Highly Reconfigurable Grid Experimental Testbed
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Hybrid MPI/OpenMP Parallel Programming on Clusters of Multi-Core SMP Nodes
PDP '09 Proceedings of the 2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing
A Power Benchmarking Framework for Network Devices
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
Energy Consumption of Residential and Professional Switches
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 01
Towards Exascale Distributed Data Management
International Journal of High Performance Computing Applications
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
IEEE Transactions on Parallel and Distributed Systems
SoftPower: fine-grain power estimations using performance counters
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
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Future supercomputers will gather hundreds of millions of communicating cores. The movement of data in such systems will be very energy consuming. We address in this paper the issue of energy consumption of data broadcasting in such large scale systems. To this end, we propose a framework to estimate the energy consumed by different MPI broadcasting algorithms for various execution settings. Validation results show that our estimations are highly accurate and allow to select the least consuming broadcasting algorithm.