Critical power slope: understanding the runtime effects of frequency scaling
ICS '02 Proceedings of the 16th international conference on Supercomputing
Process cruise control: event-driven clock scaling for dynamic power management
CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
Scheduling for reduced CPU energy
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
Koala: a platform for OS-level power management
Proceedings of the 4th ACM European conference on Computer systems
An analysis of power consumption in a smartphone
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
Blink: managing server clusters on intermittent power
Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems
Looking back on the language and hardware revolutions: measured power, performance, and scaling
Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems
Slow down or sleep, that is the question
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
Supporting energy-driven adaptations in distributed environments
Proceedings of the 1st Workshop on Middleware and Architectures for Autonomic and Sustainable Computing
Balancing electricity bill and performance in server farms with setup costs
Future Generation Computer Systems
Understanding the future of energy-performance trade-off via DVFS in HPC environments
Journal of Parallel and Distributed Computing
Comparison of scheduling schemes for on-demand IaaS requests
Journal of Systems and Software
Looking back and looking forward: power, performance, and upheaval
Communications of the ACM
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
Optimal DPM and DVFS for frame-based real-time systems
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
Empirical evaluation of power saving policies for data centers
ACM SIGMETRICS Performance Evaluation Review
Low power cache architectures with hybrid approach of filtering unnecessary way accesses
Proceedings of the 2013 International Workshop on Programming Models and Applications for Multicores and Manycores
Empirical analysis of power management schemes for multi-core smartphones
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
On understanding the energy consumption of ARM-based multicore servers
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
A scheduling algorithm to reduce the static energy consumption of multiprocessor real-time systems
Proceedings of the 21st International conference on Real-Time Networks and Systems
Optimizing energy management in multi-core servers
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 31st international symposium on computer performance, modeling, measurements and evaluation (IFIPWG 7.3 Performance 2013)
PACT '13 Proceedings of the 22nd international conference on Parallel architectures and compilation techniques
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
Energy-efficient scheduling in multi-core servers
Computer Networks: The International Journal of Computer and Telecommunications Networking
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Dynamic voltage and frequency scaling (DVFS) is a commonly-used power-management technique where the clock frequency of a processor is decreased to allow a corresponding reduction in the supply voltage. This reduces power consumption, which can lead to significant reduction in the energy required for a computation, particularly for memory-bound workloads. However, recent developments in processor and memory technology have resulted in the saturation of processor clock frequencies, larger static power consumption, smaller dynamic power range and better idle/sleep modes. Each of these developments limit the potential energy savings resulting from DVFS. We analyse this trend by examining the potential of DVFS across three platforms with recent generations of AMD processors. We find that while DVFS is effective on the older platforms, it actually increases energy usage on the most recent platform, even for highly memory-bound workloads.