Lipschitzian optimization without the Lipschitz constant
Journal of Optimization Theory and Applications
Dynamic Data Structures for a Direct Search Algorithm
Computational Optimization and Applications
Parallel global aircraft configuration design space exploration
Practical parallel computing
The design, implementation, and evaluation of a compiler algorithm for CPU energy reduction
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
FAST: Frequency-Aware Static Timing Analysis
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Dynamic voltage and frequency scaling based on workload decomposition
Proceedings of the 2004 international symposium on Low power electronics and design
A Power-Aware Run-Time System for High-Performance Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Limiting the power consumption of main memory
Proceedings of the 34th annual international symposium on Computer architecture
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
Deterministic parallel global parameter estimation for a model of the budding yeast cell cycle
Journal of Global Optimization
Corollaries to Amdahl's Law for Energy
IEEE Computer Architecture Letters
Performance Modeling and Analysis of a Massively Parallel Direct - Part 1
International Journal of High Performance Computing Applications
Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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High performance computing (HPC) using large clusters consumes a huge amount of power. With the emergence of software controlled dynamic voltage and frequency scaling (DVFS), programs can be executed at non-peak frequency in order to reduce CPU power usage, and hence energy consumption. DIRECT is a deterministic global optimization algorithm, implemented in the mathematical software package VTDIRECT95. This paper explores the potential of energy saving for the serial implementation of DIRECT, VTdirect, using DVFS. A performance model and an energy model are developed, and a theoretical bound for energy saving is derived according to the models and experimental data. This work is the first application level study to explore energy savings for large scale nonlinear programming.