AppFlow: Autonomic Performance-Per-Watt Management of Large-Scale Data Centers
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
Evaluating Parallel I/O Energy Efficiency
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
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
Understanding Power Measurement Implications in the Green500 List
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
Energy-aware metrics for benchmarking heterogeneous systems
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 1st international workshop on performance modeling, benchmarking and simulation of high performance computing systems (PMBS 10)
Journal of Systems and Software
International Journal of High Performance Computing Applications
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
High performance matrix inversion based on LU factorization for multicore architectures
Proceedings of the 2011 ACM international workshop on Many task computing on grids and supercomputers
Rolling-horizon scheduling for energy constrained distributed real-time embedded systems
Journal of Systems and Software
Understanding the future of energy-performance trade-off via DVFS in HPC environments
Journal of Parallel and Distributed Computing
Auto-tuning for energy usage in scientific applications
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
SERA-IO: Integrating Energy Consciousness into Parallel I/O Middleware
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Reducing Operational Costs through Consolidation with Resource Prediction in the Cloud
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Energy based performance tuning for large scale high performance computing systems
Proceedings of the 2012 Symposium on High Performance Computing
Implementing the data center energy productivity metric
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Energy- and performance-aware scheduling of tasks on parallel and distributed systems
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Review: Energy-aware performance analysis methodologies for HPC architectures-An exploratory study
Journal of Network and Computer Applications
Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems
Computer Science - Research and Development
Computer Science - Research and Development
Energy-aware job scheduler for high-performance computing
Computer Science - Research and Development
Determine energy-saving potential in wait-states of large-scale parallel programs
Computer Science - Research and Development
Parallel job scheduling for power constrained HPC systems
Parallel Computing
Case studies of multi-core energy efficiency in task based programs
ICT-GLOW'12 Proceedings of the Second international conference on ICT as Key Technology against Global Warming
Designing energy efficient communication runtime systems: a view from PGAS models
The Journal of Supercomputing
Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system
Proceedings of the 3rd Workshop on Fault-tolerance for HPC at extreme scale
GBench: benchmarking methodology for evaluating the energy efficiency of supercomputers
Computer Science - Research and Development
Enabling accurate power profiling of HPC applications on exascale systems
Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers
MuMMI: multiple metrics modeling infrastructure for exploring performance and power modeling
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Energy estimation for MPI broadcasting algorithms in large scale HPC systems
Proceedings of the 20th European MPI Users' Group Meeting
Energy saving strategies for parallel applications with point-to-point communication phases
Journal of Parallel and Distributed Computing
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Leakage energy estimates for HPC applications
E2SC '13 Proceedings of the 1st International Workshop on Energy Efficient Supercomputing
OpenMP and MPI application energy measurement variation
E2SC '13 Proceedings of the 1st International Workshop on Energy Efficient Supercomputing
Measuring GPU Power with the K20 Built-in Sensor
Proceedings of Workshop on General Purpose Processing Using GPUs
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Energy efficiency is a major concern in modern high-performance computing system design. In the past few years, there has been mounting evidence that power usage limits system scale and computing density, and thus, ultimately system performance. However, despite the impact of power and energy on the computer systems community, few studies provide insight to where and how power is consumed on high-performance systems and applications. In previous work, we designed a framework called PowerPack that was the first tool to isolate the power consumption of devices including disks, memory, NICs, and processors in a high-performance cluster and correlate these measurements to application functions. In this work, we extend our framework to support systems with multicore, multiprocessor-based nodes, and then provide in-depth analyses of the energy consumption of parallel applications on clusters of these systems. These analyses include the impacts of chip multiprocessing on power and energy efficiency, and its interaction with application executions. In addition, we use PowerPack to study the power dynamics and energy efficiencies of dynamic voltage and frequency scaling (DVFS) techniques on clusters. Our experiments reveal conclusively how intelligent DVFS scheduling can enhance system energy efficiency while maintaining performance.