Connor Imes
Connor Imes
Verified email at cs.uchicago.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
1132015
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
832018
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
542015
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
352015
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
242018
Bard: A unified framework for managing soft timing and power constraints
C Imes, H Hoffmann
2016 International Conference on Embedded Computer Systems: Architectures …, 2016
222016
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
172019
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
112019
A portable interface for runtime energy monitoring
C Imes, L Bergstrom, H Hoffmann
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016
112016
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
82016
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
42018
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
Minimizing Energy Under Performance Constraints on Embedded Platforms.
C Imes, H Hoffmann
EWiLi, 2014
22014
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
2020
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 5th International Workshop on Extreme Scale Programming Models …, 2020
2020
Balancing Performance and Energy in Computing Systems
CK Imes
The University of Chicago, 2018
2018
Energy Efficiency in HPC with Machine Learning and Control Theory
C Imes, S Hofmeyr, H Hofmann
2017
Managing Diversity in Performance and Energy Characteristics on Embedded Systems
CK Imes
2015
The system can't perform the operation now. Try again later.
Articles 1–18