ISI Directory

Connor Imes, Ph.D.

Publications

2024
Timely Wildfire Perimeter Mapping for Unmanned Aerial Platforms
Andrew Rittenbach, Connor Imes, John Paul Walters
Applied Industrial Spectroscopy, FD1. 7,  2024
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Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network
Connor Imes, Andrew Rittenbach, Peng Xie, Dong In D Kang, John Paul Walters, Stephen P Crago
Proceedings of the 4th Workshop on Machine Learning and Systems, 169-175,  2024
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2023
Distributed edge machine learning pipeline scheduling with reverse auctions
Connor Imes, David W King, John Paul Walters
2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …,  2023
Quantpipe: Applying adaptive post-training quantization for distributed transformer pipelines in dynamic edge environments
Haonan Wang, Connor Imes, Souvik Kundu, Peter A Beerel, Stephen P Crago, John Paul Walters
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …,  2023
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2022
Goal: Supporting general and dynamic adaptation in computing systems
Ahsan Pervaiz, Yao Hsiang Yang, Adam Duracz, Ferenc Bartha, Ryuichi Sai, Connor Imes, Robert Cartwright, Krishna Palem, Shan Lu, Henry Hoffmann
Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas …,  2022
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Pipeedge: Pipeline parallelism for large-scale model inference on heterogeneous edge devices
Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A Beerel, Stephen P Crago, John Paul Walters
2022 25th Euromicro Conference on Digital System Design (DSD), 298-307,  2022
2021
Pipeline parallelism for inference on heterogeneous edge computing
Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A Beerel, Stephen P Crago, John Paul N Walters
arXiv preprint arXiv:2110.14895,  2021
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Distributed and Heterogeneous SAR Backprojection with Halide
Connor Imes, Tzu-Mao Li, Mark Glines, Rishi Khan, John Paul Walters
2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-9,  2021
2020
A case study and characterization of a many-socket, multi-tier numa hpc platform
Connor Imes, Steven Hofmeyr, Dong In D Kang, John Paul Walters
2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM …,  2020
Compiler abstractions and runtime for extreme-scale sar and cfd workloads
Connor Imes, Alexei Colin, Naifeng Zhang, Ajitesh Srivastava, Viktor Prasanna, John Paul Walters
2020 IEEE/ACM Fifth International Workshop on Extreme Scale Programming …,  2020
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2019
Copper: Soft real-time application performance using hardware power capping
Connor Imes, Huazhe Zhang, Kevin Zhao, Henry Hoffmann
2019 IEEE International Conference on Autonomic Computing (ICAC), 31-41,  2019
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Proteus: Language and runtime support for self-adaptive software development
Saeid Barati, Ferenc A Bartha, Swarnendu Biswas, Robert Cartwright, Adam Duracz, Donald Fussell, Henry Hoffmann, Connor Imes, Jason Miller, Nikita Mishra, Dung Nguyen, Krishna V Palem, Yan Pei, Keshav Pingali, Ryuichi Sai, Andrew Wright, Yao-Hsiang Yang, Sizhuo Zhang
IEEE Software 36 (2), 73-82,  2019
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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 …
Saeid Barati, Ferenc A Bartha, Swarnendu Biswas, Robert Cartwright, Adam Duracz, Donald Fussell, Henry Hoffmann, Connor Imes, Jason Miller, Nikita Mishra
IEEE Software 36 (2), 73-82,  2019
2018
Energy-efficient application resource scheduling using machine learning classifiers
Connor Imes, Steven Hofmeyr, Henry Hoffmann
Proceedings of the 47th International Conference on Parallel Processing, 1-11,  2018
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Caloree: Learning control for predictable latency and low energy
Nikita Mishra, Connor Imes, John D Lafferty, Henry Hoffmann
ACM SIGPLAN Notices 53 (2), 184-198,  2018
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Controlling AI engines in dynamic environments
Nikita Mishra, Connor Imes, H Hoffmann, JD Lafferty
Published: Architectural Support for Programming Languages and Operating …,  2018
Balancing performance and energy in computing systems
Connor Kelly Imes
The University of Chicago,  2018
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Handing dvfs to hardware: Using power capping to control software performance
Connor Imes, Huazhe Zhang, Kevin Zhao, Henry Hoffmann
Technical Report,  2018
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2017
Energy Eficiency in HPC with Machine Learning and Control Theory
Connor Imes, Steven Hofmeyr, Henry Hofmann
2017
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2016
Portable multicore resource management for applications with performance constraints
Connor Imes, David HK Kim, Martina Maggio, Henry Hoffmann
2016 IEEE 10th International Symposium on Embedded Multicore/Many-core …,  2016
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Bard: A unified framework for managing soft timing and power constraints
Connor Imes, Henry Hoffmann
2016 International Conference on Embedded Computer Systems: Architectures …,  2016
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A Portable Interface for Runtime Energy Monitoring: Extended Analysis
Connor Imes, Lars Bergstrom, Henry Hoffmann
Tech. rep. TR-2016-08. University of Chicago, Department of Computer Science,  2016
2015
Racing and pacing to idle: Theoretical and empirical analysis of energy optimization heuristics
David HK Kim, Connor Imes, Henry Hoffmann
2015 IEEE 3rd international conference on cyber-physical systems, networks …,  2015
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POET: a portable approach to minimizing energy under soft real-time constraints
Connor Imes, David HK Kim, Martina Maggio, Henry Hoffmann
21st IEEE Real-Time and Embedded Technology and Applications Symposium, 75-86,  2015
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Minimizing energy under performance constraints on embedded platforms: resource allocation heuristics for homogeneous and single-ISA heterogeneous multi-cores
Connor Imes, Henry Hoffmann
ACM SIGBED Review 11 (4), 49-54,  2015
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Managing Diversity in Performance and Energy Characteristics on Embedded Systems
Connor Kelly Imes
2015
2014
Minimizing Energy Under Performance Constraints on Embedded Platforms.
Connor Imes, Henry Hoffmann
EWiLi,  2014