Connor Imes
Connor Imes
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Cited by
Cited by
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
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
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
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
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
Bard: A unified framework for managing soft timing and power constraints
C Imes, H Hoffmann
2016 International Conference on Embedded Computer Systems: Architectures …, 2016
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
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
A portable interface for runtime energy monitoring
C Imes, L Bergstrom, H Hoffmann
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016
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
Handing dvfs to hardware: Using power capping to control software performance
C Imes, H Zhang, K Zhao, H Hoffmann
Technical Report TR-2018-03, 2018
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
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
Minimizing Energy Under Performance Constraints on Embedded Platforms.
C Imes, H Hoffmann
EWiLi, 2014
Balancing performance and energy in computing systems
CK Imes
The University of Chicago, 2018
Energy Efficiency in HPC with Machine Learning and Control Theory
C Imes, S Hofmeyr, H Hofmann
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
Distributed and Heterogeneous SAR Backprojection with Halide
C Imes, TM Li, M Glines, R Khan, JP Walters
2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2021
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
Managing Diversity in Performance and Energy Characteristics on Embedded Systems
CK Imes
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