Eflect

Author:

Babakol Timur1,Canino Anthony1,Liu Yu David1

Affiliation:

1. SUNY Binghamton

Funder

National Science Foundation

Publisher

ACM

Reference41 articles.

1. Abadi , M. , Barham , P. , Chen , J. , Chen , Z. , Davis , A. , Dean , J. , Devin , M. , Ghemawat , S. , Irving , G. , Isard , M. , Kudlur , M. , Levenberg , J. , Monga , R. , Moore , S. , Murray , D. G. , Steiner , B. , Tucker , P. , Vasudevan , V. , Warden , P. , Wicke , M. , Yu , Y. , and Zheng , X . Tensorflow: A system for large-scale machine learning . In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) (Savannah, GA, Nov. 2016 ), USENIX Association , pp. 265 -- 283 . Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., and Zheng, X. Tensorflow: A system for large-scale machine learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) (Savannah, GA, Nov. 2016), USENIX Association, pp. 265--283.

2. Babakol , T. , Canino , A. , Mahmoud , K. , Saxena , R. , and Liu , Y. D . Calm energy accounting for multi-threaded java applications . In Proceedings of the 2020 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE (Nov 2020 ), pp. 976 -- 988 . Babakol, T., Canino, A., Mahmoud, K., Saxena, R., and Liu, Y. D. Calm energy accounting for multi-threaded java applications. In Proceedings of the 2020 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE (Nov 2020), pp. 976--988.

3. Green

4. Energy-patch: Repairing resource leaks to improve energy-efficiency of android apps;Banerjee A.;IEEE Transactions on Software Engineering,2017

5. Banerjee , A. , Chong , L. K. , Chattopadhyay , S. , and Roychoudhury , A . Detecting energy bugs and hotspots in mobile apps . In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (New York, NY, USA, 2014), FSE 2014, Association for Computing Machinery , p. 588 -- 598 . Banerjee, A., Chong, L. K., Chattopadhyay, S., and Roychoudhury, A. Detecting energy bugs and hotspots in mobile apps. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (New York, NY, USA, 2014), FSE 2014, Association for Computing Machinery, p. 588--598.

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