Connor Imes

机构：University of Southern California, Foreign Service Institute · ORCID：0000-0003-1683-8353

发表论文 35 篇 · 总被引 485 次 · h-index 11

代表论文

• PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices (2022 · 2022 25th Euromicro Conference on Digital System Design (DSD) · 被引 38)
• CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping (2019 · 被引 28)
• Proteus: Language and Runtime Support for Self-Adaptive Software Development (2019 · IEEE Software · 被引 17)
• Pipeline Parallelism for Inference on Heterogeneous Edge Computing (2021 · arXiv (Cornell University) · 被引 12)
• Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments (2023 · 被引 9)
• A Case Study and Characterization of a Many-socket, Multi-tier NUMA HPC Platform (2020 · 被引 4)