Introduction to algorithms
Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Improving dynamic voltage scaling algorithms with PACE
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Critical power slope: understanding the runtime effects of frequency scaling
ICS '02 Proceedings of the 16th international conference on Supercomputing
Compiler-Directed Dynamic Frequency and Voltage Scheduling
PACS '00 Proceedings of the First International Workshop on Power-Aware Computer Systems-Revised Papers
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
A scheduling model for reduced CPU energy
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Collaborative Operating System and Compiler Power Management for Real-Time Applications
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
Profile-Based Dynamic Voltage Scheduling Using Program Checkpoints
Proceedings of the conference on Design, automation and test in Europe
A control-theoretic approach to dynamic voltage scheduling
Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems
VSV: L2-Miss-Driven Variable Supply-Voltage Scaling for Low Power
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
FAST: Frequency-Aware Static Timing Analysis
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Toward the placement of power management points in real-time applications
Compilers and operating systems for low power
Proceedings of the conference on Design, automation and test in Europe - Volume 1
Compiler-directed dynamic voltage and frequency scaling for cpu power and energy reduction
Compiler-directed dynamic voltage and frequency scaling for cpu power and energy reduction
Dynamic voltage and frequency scaling based on workload decomposition
Proceedings of the 2004 international symposium on Low power electronics and design
Preemption-aware dynamic voltage scaling in hard real-time systems
Proceedings of the 2004 international symposium on Low power electronics and design
Policies for dynamic clock scheduling
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
A Power-Aware Run-Time System for High-Performance Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Power reduction techniques for microprocessor systems
ACM Computing Surveys (CSUR)
Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
Just-in-time dynamic voltage scaling: Exploiting inter-node slack to save energy in MPI programs
Journal of Parallel and Distributed Computing
Koala: a platform for OS-level power management
Proceedings of the 4th ACM European conference on Computer systems
Multiple clock and voltage domains for chip multi processors
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
Speed scaling problems with memory/cache consideration
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
A Novel Energy Saving Approach through Mobile Collaborative Computing Systems
International Journal of Handheld Computing Research
Autonomic performance-per-watt management (APM) of cloud resources and services
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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Dynamic voltage scaling (DVS) allows a program to execute at a non-peak CPU frequency in order to reduce CPU power, and hence, energy consumption; however, it is oftentimes done at the expense of performance degradation. For a program whose execution time is bounded by peripherals' performance rather than the CPU speed, applying DVS to the program will result in negligible performance penalty. Unfortunately, existing DVS-based power-management algorithms are conservative in the sense that they overly exaggerate the impact that the CPU speed has on the execution time. We propose a new DVS algorithm that detects the CPU-boundedness of a program on the fly (via a regression method on the past MIPS rate) and then adjusts the CPU frequency accordingly. To illustrate its effectiveness, we compare our algorithm with other DVS algorithms on real systems via physical measurements.