Evaluating high performance communication: a power perspective
Proceedings of the 23rd international conference on Supercomputing
Designing Energy Efficient Communication Runtime Systems for Data Centric Programming Models
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Per-call energy saving strategies in all-to-all communications
EuroMPI'11 Proceedings of the 18th European MPI Users' Group conference on Recent advances in the message passing interface
Designing energy efficient communication runtime systems: a view from PGAS models
The Journal of Supercomputing
Energy saving strategies for parallel applications with point-to-point communication phases
Journal of Parallel and Distributed Computing
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High-performance computing (HPC) systems consume a significant amount of power, resulting in high operational costs, reduced reliability, and wasting of natural resources. Therefore, power consumption has become an increasingly important design constraint in high-performance clusters. In this regard, research on power-aware HPC has emerged. While most research has focused at understanding and utilizing applications’ behavior to scale down the CPU for energy savings, this paper demonstrates the positive impact of modern interconnects in delivering energy-efficiency in high-performance clusters. In this work, we first present the power-performance profiles of the Myrinet-2000 and Quadrics QsNetII at the user-level and MPI-level in comparison to a traditional, non-offloaded Gigabit Ethernet. Such information enables us to devise a power-aware MPI runtime library that automatically and transparently performs message segmentation and re-assembly in order to increase energy savings. Secondly, by designing and evaluating a number of all-gather collectives, we argue that it is possible to increase the energy-efficiency of a cluster by optimizing its messaging layers.