The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Green: a framework for supporting energy-conscious programming using controlled approximation
Abstract
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeoff quality of service/solution (QoS) for improvements in performance and reduction in energy consumption. Programmers sometimes take advantage of such opportunities, albeit in an ad-hoc manner and often without providing any QoS guarantees.
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(2007) · doi:10.1145/1294261.1294281 · Cited by 3,447
The PARSEC benchmark suite: characterization and architectural implications
Bienia, C., Kumar, S., Singh, J. P., & Li, K. (2008) · Proceedings of the 17th international conference on Parallel architectures and compilation techniques · doi:10.1145/1454115.1454128 · Cited by 3,444
Kajiya, J. T. (1986) · ACM SIGGRAPH Computer Graphics · doi:10.1145/15886.15902 · Cited by 2,238
The fast Fourier transform and its applications
(1989) · Choice Reviews Online · doi:10.5860/choice.26-3285 · Cited by 2,117
Ethernet: distributed packet switching for local computer networks
Metcalfe, R. M., & Boggs, D. R. (1983) · Communications of the ACM · doi:10.1145/357980.358015 · Cited by 1,509
Dynamo: amazon's highly available key-value store
DeCandia, G., Hastorun, D., Jampani, M., Kakulapati, G., Lakshman, A., Pilchin, A., Sivasubramanian, S., Vosshall, P., & Vogels, W. (2007) · ACM SIGOPS Operating Systems Review · doi:10.1145/1323293.1294281 · Cited by 1,151
Coordination languages and their significance
Gelernter, D., & Carriero, N. (1992) · Communications of the ACM · doi:10.1145/129630.129635 · Cited by 1,008
(2020) · Springer eBooks · doi:10.1007/978-3-319-78262-1_300273 · Cited by 253
Soft computing: the convergence of emerging reasoning technologies
Bonissone, P. P. (1997) · Soft Computing - A Fusion of Foundations, Methodologies and Applications · doi:10.1007/s005000050002 · Cited by 237
Liu, J. W. S., Shih, W., Lin, K.-J., Bettati, R., & Chung, J. (1994) · Proceedings of the IEEE · doi:10.1109/5.259428 · Cited by 233
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Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
Cormode, G., Garofalakis, M., Haas, P. J., & Jermaine, C. (2011) · Foundations and Trends in Databases · doi:10.1561/1900000004 · Cited by 468
Understanding and detecting real-world performance bugs
Jin, G., Song, L., Shi, X., Scherpelz, J., & Lu, S. (2012) · Proceedings of the 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/2254064.2254075 · Cited by 304
Compiling KB-sized machine learning models to tiny IoT devices
Gopinath, S., Ghanathe, N., Seshadri, V., & Sharma, R. (2019) · Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/3314221.3314597 · Cited by 92
Control Theory for Model-based Performance-driven Software Adaptation
Arcelli, D., Cortellessa, V., Filieri, A., & Leva, A. (2015) · Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures · doi:10.1145/2737182.2737187 · Cited by 23
Metadata
- Authors
- Baek, W., & Chilimbi, T. M.
- Venue
- Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation
- Publisher
- ACM
- Published
- 2010-06-05
- Pages
- 198-209
- ISSN
- 1531-7102 (ISSN-L)
- OpenAlex
- W2114703523
- Cited by
- 440
- References
- 15
- FWCI
- 16.74
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Baek, W., & Chilimbi, T. M. (2010). Green: a framework for supporting energy-conscious programming using controlled approximation. Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation. https://doi.org/10.1145/1806596.1806620
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
