Prediction models for multi-dimensional power-performance optimization on many cores
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Comparing scalability prediction strategies on an SMP of CMPs
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU
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
Proceedings of the 1st International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era
A study on factors influencing power consumption in multithreaded and multicore CPUs
WSEAS Transactions on Computers
International Journal of High Performance Computing Applications
Principles of energy efficiency in high performance computing
ICT-GLOW'11 Proceedings of the First international conference on Information and communication on technology for the fight against global warming
Identifying the optimal energy-efficient operating points of parallel workloads
Proceedings of the International Conference on Computer-Aided Design
ADP: automated diagnosis of performance pathologies using hardware events
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Memory performance at reduced CPU clock speeds: an analysis of current x86_64 processors
HotPower'12 Proceedings of the 2012 USENIX conference on Power-Aware Computing and Systems
Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems
Computer Science - Research and Development
Exploring hardware overprovisioning in power-constrained, high performance computing
Proceedings of the 27th international ACM conference on International conference on supercomputing
Design-space exploration and runtime resource management for multicores
ACM Transactions on Embedded Computing Systems (TECS) - Special issue on application-specific processors
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Computing has recently reached an inflection point with the introduction of multi-core processors. On-chip thread-level parallelism is doubling approximately every other year. Concurrency lends itself naturally to allowing a program to trade performance for power savings by regulating the number of active cores, however in several domains users are unwilling to sacrifice performance to save power. We present a prediction model for identifying energy-efficient operating points of concurrency in well-tuned multithreaded scientific applications, and a runtime system which uses live program analysis to optimize applications dynamically. We describe a dynamic, phase-aware performance prediction model that combines multivariate regression techniques with runtime analysis of data collected from hardware event counters to locate optimal operating points of concurrency. Using our model, we develop a prediction-driven, phase-aware runtime optimization scheme that throttles concurrency so that power consumption can be reduced and performance can be set at the knee of the scalability curve of each program phase. The use of prediction reduces the overhead of searching the optimization space while achieving near-optimal performance and power savings. A thorough evaluation of our approach shows a reduction in power consumption of 10.8% simultaneous with an improvement in performance of 17.9%, resulting in energy savings of 26.7%.