Search Results - "Imes, Connor"

CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping by Imes, Connor, Zhang, Huazhe, Zhao, Kevin, Hoffmann, Henry

“…Dynamic voltage and frequency scaling (DVFS) has been the cornerstone of innumerable software approaches to meeting application timing requirements with…”
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POET: a portable approach to minimizing energy under soft real-time constraints by Imes, Connor, Kim, David H. K., Maggio, Martina, Hoffmann, Henry

“…Embedded real-time systems must meet timing constraints while minimizing energy consumption. To this end, many energy optimizations are introduced for specific…”
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PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices by Hu, Yang, Imes, Connor, Zhao, Xuanang, Kundu, Souvik, Beerel, Peter A., Crago, Stephen P., Walters, John Paul

“…Deep neural networks with large model sizes achieve state-of-the-art results for tasks in computer vision and natural language processing. However, such models…”
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Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments by Wang, Haonan, Imes, Connor, Kundu, Souvik, Beerel, Peter A., Crago, Stephen P., Paul Walters, John

“…Pipeline parallelism has achieved great success in deploying large-scale transformer models in cloud environments, but has received less attention in edge…”
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Proteus: Language and Runtime Support for Self-Adaptive Software Development by Barati, Saeid, Bartha, Ferenc A., Biswas, Swarnendu, Cartwright, Robert, Duracz, Adam, Fussell, Donald, Hoffmann, Henry, Imes, Connor, Miller, Jason, Mishra, Nikita, Arvind, Nguyen, Dung, Palem, Krishna V., Pei, Yan, Pingali, Keshav, Sai, Ryuichi, Wright, Andrew, Yang, Yao-Hsiang, Zhang, Sizhuo

“…Our software framework, Proteus, treats adaptation as a first-class object, enabling rapid development of robust, adaptive applications. Proteus developers…”
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Balancing Performance and Energy in Computing Systems by Imes, Connor Kelly

“…This dissertation addresses challenges in balancing performance and power/energy consumption in computing systems. Systems are often underutilized, meaning…”
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Bard: A unified framework for managing soft timing and power constraints by Imes, Connor, Hoffmann, Henry

“…Embedded systems are subject to timing and power constraints. To support both, software currently must integrate multiple tools, resulting in additional…”
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Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions by Imes, Connor, King, David W., Walters, John Paul

“…Scheduling distributed machine learning pipelines in edge environments is a growing area of research as developers work to bring large, high-accuracy models to…”
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QuantPipe: Applying Adaptive Post-Training Quantization for Distributed Transformer Pipelines in Dynamic Edge Environments by Wang, Haonan, Imes, Connor, Kundu, Souvik, Beerel, Peter A, Crago, Stephen P, Walters, John Paul

“…Pipeline parallelism has achieved great success in deploying large-scale transformer models in cloud environments, but has received less attention in edge…”
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Racing and Pacing to Idle: Theoretical and Empirical Analysis of Energy Optimization Heuristics by Kim, David H. K., Imes, Connor, Hoffmann, Henry

“…The problem of minimizing energy for a performance constraint (e.g., Real-time deadline or quality-of-service requirement) has been widely studied, both in…”
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Distributed and Heterogeneous SAR Backprojection with Halide by Imes, Connor, Li, Tzu-Mao, Glines, Mark, Khan, Rishi, Walters, John Paul

“…Writing efficient, scalable, and portable HPC synthetic aperture radar (SAR) applications is increasingly challenging due to the growing diversity and…”
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A Case Study and Characterization of a Many-socket, Multi-tier NUMA HPC Platform by Imes, Connor, Hofmeyr, Steven, Kang, Dong In D., Walters, John Paul

“…As the number of processor cores and sockets on HPC compute nodes increase and systems expose more hierarchical non-uniform memory access (NUMA) architectures,…”
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Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads by Imes, Connor, Colin, Alexei, Zhang, Naifeng, Srivastava, Ajitesh, Prasanna, Viktor, Walters, John Paul

“…As HPC progresses toward exascale, writing applications that are highly efficient, portable, and support programmer productivity is becoming more challenging…”
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Pipeline Parallelism for Inference on Heterogeneous Edge Computing by Hu, Yang, Imes, Connor, Zhao, Xuanang, Kundu, Souvik, Beerel, Peter A, Crago, Stephen P, Walters, John Paul N

“…Deep neural networks with large model sizes achieve state-of-the-art results for tasks in computer vision (CV) and natural language processing (NLP). However,…”
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Portable Multicore Resource Management for Applications with Performance Constraints by Imes, Connor, Kim, David H. K., Maggio, Martina, Hoffmann, Henry

“…Many modern software applications have performance requirements, like mobile and embedded systems that must keep up with sensor data, or web services that must…”
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