Fast parallel algorithms for short-range molecular dynamics
Journal of Computational Physics
The benefits of event: driven energy accounting in power-sensitive systems
EW 9 Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system
Dynamic Voltage Scaling with Links for Power Optimization of Interconnection Networks
HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
On Generalizing the Algebraic Multigrid Framework
SIAM Journal on Numerical Analysis
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Power and Energy Profiling of Scientific Applications on Distributed Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Improvement of Power-Performance Efficiency for High-End Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Runtime identification of microprocessor energy saving opportunities
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Journal of Computational Physics
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
IEEE Transactions on Parallel and Distributed Systems
Hobbes: composition and virtualization as the foundations of an extreme-scale OS/R
Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers
Coordinated energy management in heterogeneous processors
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Measuring GPU Power with the K20 Built-in Sensor
Proceedings of Workshop on General Purpose Processing Using GPUs
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Recognition of the importance of power in the field of High Performance Computing, whether it be as an obstacle, expense or design consideration, has never been greater and more pervasive. In response to this challenge, we exploit the unique power measurement capabilities of the Cray XT architecture to gain an understanding of the power requirements of important DOE/NNSA production scientific computing applications executing at large scale (thousands of nodes). The effect of both CPU frequency and network bandwidth scaling on power usage is characterized in a series of empirical experiments and demonstrates energy savings opportunities of up to 39% with little to no impact on run-time performance. Our results provide strong evidence that next generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the ability to tune other platform components, such as the network, to achieve energy efficient performance.