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Connor Imes
Connor Imes
USC Information Sciences Institute
Verified email at isi.edu - Homepage
Title
Cited by
Cited by
Year
POET: a portable approach to minimizing energy under soft real-time constraints
C Imes, DHK Kim, M Maggio, H Hoffmann
21st IEEE Real-Time and Embedded Technology and Applications Symposium, 75-86, 2015
1492015
Caloree: Learning control for predictable latency and low energy
N Mishra, C Imes, JD Lafferty, H Hoffmann
ACM SIGPLAN Notices 53 (2), 184-198, 2018
1392018
Racing and pacing to idle: Theoretical and empirical analysis of energy optimization heuristics
DHK Kim, C Imes, H Hoffmann
2015 IEEE 3rd international conference on cyber-physical systems, networks …, 2015
772015
Energy-efficient application resource scheduling using machine learning classifiers
C Imes, S Hofmeyr, H Hoffmann
Proceedings of the 47th International Conference on Parallel Processing, 1-11, 2018
482018
Copper: Soft real-time application performance using hardware power capping
C Imes, H Zhang, K Zhao, H Hoffmann
2019 IEEE International Conference on Autonomic Computing (ICAC), 31-41, 2019
362019
Minimizing energy under performance constraints on embedded platforms: resource allocation heuristics for homogeneous and single-ISA heterogeneous multi-cores
C Imes, H Hoffmann
ACM SIGBED Review 11 (4), 49-54, 2015
362015
Bard: A unified framework for managing soft timing and power constraints
C Imes, H Hoffmann
2016 International Conference on Embedded Computer Systems: Architectures …, 2016
302016
Proteus: Language and runtime support for self-adaptive software development
S Barati, FA Bartha, S Biswas, R Cartwright, A Duracz, D Fussell, ...
IEEE Software 36 (2), 73-82, 2019
192019
A portable interface for runtime energy monitoring
C Imes, L Bergstrom, H Hoffmann
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016
192016
Pipeedge: Pipeline parallelism for large-scale model inference on heterogeneous edge devices
Y Hu, C Imes, X Zhao, S Kundu, PA Beerel, SP Crago, JP Walters
2022 25th Euromicro Conference on Digital System Design (DSD), 298-307, 2022
112022
Pipeline parallelism for inference on heterogeneous edge computing
Y Hu, C Imes, X Zhao, S Kundu, PA Beerel, SP Crago, JPN Walters
arXiv preprint arXiv:2110.14895, 2021
102021
Handing dvfs to hardware: Using power capping to control software performance
C Imes, H Zhang, K Zhao, H Hoffmann
Technical Report, 2018
92018
Portable multicore resource management for applications with performance constraints
C Imes, DHK Kim, M Maggio, H Hoffmann
2016 IEEE 10th International Symposium on Embedded Multicore/Many-core …, 2016
92016
Arvind, Dung Nguyen, Krishna V. Palem, Yan Pei, Keshav Pingali, Ryuichi Sai, Andrew Wright, Yao-Hsiang Yang, and Sizhuo Zhang. 2019. Proteus: Language and Runtime Support for …
S Barati, FA Bartha, S Biswas, R Cartwright, A Duracz, D Fussell, ...
IEEE Software 36 (2), 73-82, 2019
52019
A case study and characterization of a many-socket, multi-tier NUMA HPC platform
C Imes, S Hofmeyr, DID Kang, JP Walters
2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM …, 2020
42020
Controlling ai engines in dynamic environments
N Mishra, C Imes, H Hoffmann, JD Lafferty
Published: Architectural Support for Programming Languages and Operating …, 2018
42018
Quantpipe: Applying adaptive post-training quantization for distributed transformer pipelines in dynamic edge environments
H Wang, C Imes, S Kundu, PA Beerel, SP Crago, JP Walters
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Goal: Supporting general and dynamic adaptation in computing systems
A Pervaiz, YH Yang, A Duracz, F Bartha, R Sai, C Imes, R Cartwright, ...
Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas …, 2022
22022
Compiler abstractions and runtime for extreme-scale sar and cfd workloads
C Imes, A Colin, N Zhang, A Srivastava, V Prasanna, JP Walters
2020 IEEE/ACM Fifth International Workshop on Extreme Scale Programming …, 2020
22020
A Portable Interface for Runtime Energy Monitoring: Extended Analysis
C Imes, L Bergstrom, H Hoffmann
Tech. rep. TR-2016-08. University of Chicago, Department of Computer Science, 2016
22016
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