Connor Imes

According to our database, Connor Imes authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network.

Connor Imes, Andrew Rittenbach, Peng Xie, Dong-In Kang, John Paul Walters, Stephen P. Crago

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2023

Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions.

Connor Imes, David W. King, John Paul Walters

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

2022

GOAL: Supporting General and Dynamic Adaptation in Computing Systems.

Ahsan Pervaiz, Yao-Hsiang Yang, Adam Duracz, Ferenc A. Bartha, Ryuichi Sai, Connor Imes, Robert Cartwright, Krishna V. Palem, Shan Lu, Henry Hoffmann

Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, 2022

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

Proceedings of the 25th Euromicro Conference on Digital System Design, 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 Walters

CoRR, 2021

Distributed and Heterogeneous SAR Backprojection with Halide.

Connor Imes, Tzu-Mao Li, Mark Glines, Rishi Khan, John Paul Walters

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads.

Connor Imes, Alexei Colin, Naifeng Zhang, Ajitesh Srivastava, Viktor K. Prasanna, John Paul Walters

Proceedings of the 5th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2020

2019

Proteus: Language and Runtime Support for Self-Adaptive Software Development.

Saeid Barati, Ferenc A. Bartha, Swarnendu Biswas, Robert Cartwright, Adam Duracz, Donald S. Fussell, Henry Hoffmann, Connor Imes, Jason E. Miller, Nikita Mishra, Arvind, Dung Nguyen, Krishna V. Palem, Yan Pei, Keshav Pingali, Ryuichi Sai, Andrew Wright, Yao-Hsiang Yang, Sizhuo Zhang

IEEE Softw., 2019

CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping.

Connor Imes, Huazhe Zhang, Kevin Zhao, Henry Hoffmann

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

2018

Energy-efficient Application Resource Scheduling using Machine Learning Classifiers.

Connor Imes, Steven A. Hofmeyr, Henry Hoffmann

Proceedings of the 47th International Conference on Parallel Processing, 2018

CALOREE: Learning Control for Predictable Latency and Low Energy.

Nikita Mishra, Connor Imes, John D. Lafferty, Henry Hoffmann

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

2016

A portable interface for runtime energy monitoring.

Connor Imes, Lars Bergstrom, Henry Hoffmann

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Bard: A unified framework for managing soft timing and power constraints.

Connor Imes, Henry Hoffmann

Proceedings of the International Conference on Embedded Computer Systems: Architectures, 2016

Portable Multicore Resource Management for Applications with Performance Constraints.

Connor Imes, David H. K. Kim, Martina Maggio, Henry Hoffmann

Proceedings of the 10th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2016

2015

POET: a portable approach to minimizing energy under soft real-time constraints.

Connor Imes, David H. K. Kim, Martina Maggio, Henry Hoffmann

Proceedings of the 21st IEEE Real-Time and Embedded Technology and Applications Symposium, 2015

Racing and Pacing to Idle: Theoretical and Empirical Analysis of Energy Optimization Heuristics.

David H. K. Kim, Connor Imes, Henry Hoffmann

Proceedings of the 2015 IEEE 3rd International Conference on Cyber-Physical Systems, 2015

2014

Minimizing energy under performance constraints on embedded platforms: resource allocation heuristics for homogeneous and single-ISA heterogeneous multi-cores.

Connor Imes, Henry Hoffmann

SIGBED Rev., 2014

Minimizing Energy Under Performance Constraints on Embedded Platforms.

Connor Imes, Henry Hoffmann

Proceedings of the Embed With Linux 2014 Workshop, Lisboa, Portugal, November 13-14, 2014., 2014