The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Power reduction techniques for microprocessor systems
Abstract
Power consumption is a major factor that limits the performance of computers. We survey the “state of the art” in techniques that reduce the total power consumed by a microprocessor system over time. These techniques are applied at various levels ranging from circuits to architectures, architectures to system software, and system software to applications. They also include holistic approaches that will become more important over the next decade. We conclude that power management is a multifaceted discipline that is continually expanding with new techniques being developed at every level. These techniques may eventually allow computers to break through the “power wall” and achieve unprecedented levels of performance, versatility, and reliability. Yet it remains too early to tell which techniques will ultimately solve the power problem.
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Computability and λ-definability
Turing, A. M. (1937) · Journal of Symbolic Logic · doi:10.2307/2268280 · Cited by 262
Cited by
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Dayarathna, M., Wen, Y., & Fan, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481183 · Cited by 1,165
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Beloglazov, A., Buyya, R., Lee, Y. C., & Zomaya, A. (2011) · Advances in Computers · doi:10.1016/b978-0-12-385512-1.00003-7 · Cited by 777
Energy efficient utilization of resources in cloud computing systems
Lee, Y. C., & Zomaya, A. Y. (2012) · The Journal of Supercomputing · doi:10.1007/s11227-010-0421-3 · Cited by 647
Metadata
- Authors
- Venkatachalam, V., & Franz, M.
- Venue
- ACM Computing Surveys
- Published
- 2005-09
- Volume
- 37
- Issue
- 3
- Pages
- 195-237
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2032681711
- Cited by
- 390
- References
- 1
- FWCI
- 20.02
- Type
- journal article
- Language
- en
- Open access
- closed
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