Connor Imes

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Dynamic Adaptation

Resource Scheduling

Dynamically Adjust

Top Venues

Publications

Connor Imes, Andrew Rittenbach, Peng Xie, Dong-In Kang, John Paul Walters, Stephen P. Crago
Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network. EuroMLSys@EuroSys (2024)
Connor Imes, David W. King, John Paul Walters
Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions. FMEC (2023)
Haonan Wang, Connor Imes, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters
Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments. ICASSP (2023)
Haonan Wang, Connor Imes, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters
QuantPipe: Applying Adaptive Post-Training Quantization for Distributed Transformer Pipelines in Dynamic Edge Environments. CoRR (2022)
Ahsan Pervaiz, Yao-Hsiang Yang, Adam Duracz, Ferenc A. Bartha, Ryuichi Sai, Connor Imes, Robert Cartwright, Krishna V. Palem, Shan Lu, Henry Hoffmann
GOAL: Supporting General and Dynamic Adaptation in Computing Systems. Onward! (2022)
Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters
PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices. DSD (2022)
Connor Imes, Tzu-Mao Li, Mark Glines, Rishi Khan, John Paul Walters
Distributed and Heterogeneous SAR Backprojection with Halide. HPEC (2021)
Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters
Pipeline Parallelism for Inference on Heterogeneous Edge Computing. CoRR (2021)
Connor Imes, Alexei Colin, Naifeng Zhang, Ajitesh Srivastava, Viktor K. Prasanna, John Paul Walters
Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads. ESPM2@SC (2020)
Connor Imes, Huazhe Zhang, Kevin Zhao, Henry Hoffmann
CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping. ICAC (2019)
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
Proteus: Language and Runtime Support for Self-Adaptive Software Development. IEEE Softw. 36 (2) (2019)
Nikita Mishra, Connor Imes, John D. Lafferty, Henry Hoffmann
CALOREE: Learning Control for Predictable Latency and Low Energy. ASPLOS (2018)
Connor Imes, Steven A. Hofmeyr, Henry Hoffmann
Energy-efficient Application Resource Scheduling using Machine Learning Classifiers. ICPP (2018)
Connor Imes, Lars Bergstrom, Henry Hoffmann
A portable interface for runtime energy monitoring. SIGSOFT FSE (2016)
Connor Imes, Henry Hoffmann
Bard: A unified framework for managing soft timing and power constraints. SAMOS (2016)
Connor Imes, David H. K. Kim, Martina Maggio, Henry Hoffmann
Portable Multicore Resource Management for Applications with Performance Constraints. MCSoC (2016)
Connor Imes, David H. K. Kim, Martina Maggio, Henry Hoffmann
POET: a portable approach to minimizing energy under soft real-time constraints. RTAS (2015)
David H. K. Kim, Connor Imes, Henry Hoffmann
Racing and Pacing to Idle: Theoretical and Empirical Analysis of Energy Optimization Heuristics. CPSNA (2015)
Connor Imes, Henry Hoffmann
Minimizing Energy Under Performance Constraints on Embedded Platforms. EWiLi (2014)
Connor Imes, Henry Hoffmann
Minimizing energy under performance constraints on embedded platforms: resource allocation heuristics for homogeneous and single-ISA heterogeneous multi-cores. SIGBED Rev. 11 (4) (2014)