Fine-grained energy profiling for power-aware application design
- 31 August 2008
- journal article
- Published by Association for Computing Machinery (ACM) in ACM SIGMETRICS Performance Evaluation Review
- Vol. 36 (2), 26-31
- https://doi.org/10.1145/1453175.1453180
Abstract
Significant opportunities for power optimization exist at application design stage and are not yet fully exploited by system and application designers. We describe the challenges developers face in optimizing software for energy efficiency by exploiting application-level knowledge. To address these challenges, we propose the development of automated tools that profile the energy usage of various resource components used by an application and guide the design choices accordingly. We use a preliminary version of a tool we have developed to demonstrate how automated energy profiling helps a developer choose between alternative designs in the energy-performance trade-off space.Keywords
This publication has 15 references indexed in Scilit:
- No "power" strugglesPublished by Association for Computing Machinery (ACM) ,2008
- Managing energy-performance tradeoffs for multithreaded applications on multiprocessor architecturesPublished by Association for Computing Machinery (ACM) ,2007
- Power provisioning for a warehouse-sized computerPublished by Association for Computing Machinery (ACM) ,2007
- etopPublished by Association for Computing Machinery (ACM) ,2007
- Towards understanding algorithmic factors affecting energy consumptionPublished by Association for Computing Machinery (ACM) ,2005
- Simulating the power consumption of large-scale sensor network applicationsPublished by Association for Computing Machinery (ACM) ,2004
- Energy optimization for latency- and quality-constrained video applicationsIEEE Design & Test of Computers, 2004
- Compile-time dynamic voltage scaling settingsACM SIGPLAN Notices, 2003
- The benefits of eventPublished by Association for Computing Machinery (ACM) ,2000
- Energy-aware adaptation for mobile applicationsPublished by Association for Computing Machinery (ACM) ,1999