Fine-grained dynamic voltage and frequency scaling for precise energy and performance trade-off based on the ratio of off-chip access to on-chip computation times
By Kihwan Choi, R. Soma, Massoud Pedram. Proceedings Design, Automation and Test in Europe Conference and Exhibition, 2004
332 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/090c1a44f09bf28b26a8aa535855e26199ec1b77
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- David M. Brooks
- Massoud Pedram
- Charles R. Farrar
- Margaret Martonosi
- Gyuhae Park
- Qiang Wu
- D. Connors
- Youfeng Wu
In Hardware and Architecture
- David M. Brooks
- Massoud Pedram
- Margaret Martonosi
- Qiang Wu
- D. Connors
- Youfeng Wu
- Vijay Janappa Reddi
- Jin Lee
Citations in the corpus
- Standby and Active Leakage Current Control and Minimization in CMOS VLSI Circuits (2005, background): “To deal with this, systems may exploit dynamic voltage scaling to allow the lowest VDD necessary to meet the circuit speed requirements while saving the energy used for the computation [1][5].”
- Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions (2011, background): “In [22], [23], [24], power-performance trade-offs are studied for (sequential) applications with non/soft-real-time deadlines.”
- Energy Harvesting for Structural Health Monitoring Sensor Networks (2008, methodology): “While slowing down the CPU with DVS can provide quite a bit of power savings, applying DPM typically increases the savings by at least a factor of 10, and in many systems by significantly more than that.”
- A dynamic compilation framework for controlling microprocessor energy and performance (2005, methodology): “Existing hardware or OS time-interrupt based DVFS techniques typically monitor some system statistics (such as issue queue occupancy [22]) in fixed time intervals, and decide DVFS settings for future time intervals [7, 19, 22, 23].”