Publications

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Conference Papers

Microarchitectural Characterization of LightGCN and ExpressGNN and Architectural Implications (Poster Presentation)

Published in 20th International Conference on High Performance, Edge and Cloud Computing (HiPEAC), 2025

This poster presents microarchitectural analysis of LightGCN and ExpressGNN graph neural networks.

Recommended citation: Davis, C., Stockton, P., Zhang, M., Ryoo, J., & John, E. (2025). Microarchitectural Characterization of LightGCN and ExpressGNN and Architectural Implications (Poster Presentation). 20th International Conference on High Performance, Edge and Cloud Computing (HiPEAC). IEEE.
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Hierarchical Agglomerative Clustering Optimization for Massive Data

Published in IEEE 24th International Conference on Scalable Computing and Communications (ScalCom), 2024

This paper presents optimization techniques for hierarchical agglomerative clustering on massive datasets.

Recommended citation: Dai, W., & Zhang, M. (2024). Hierarchical Agglomerative Clustering Optimization for Massive Data. IEEE 24th International Conference on Scalable Computing and Communications (ScalCom).
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A High Performance AI-powered Cache Mechanism for IoT Devices

Published in International Conference on Cyber-enabled Distributed Computing and Knowledge Discovery (CyberC), 2024

This paper proposes an AI-powered cache mechanism to improve performance of IoT devices.

Recommended citation: Dai, W., & Zhang, M. (2024). A High Performance AI-powered Cache Mechanism for IoT Devices. International Conference on Cyber-enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE.
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Microarchitectural Analysis of Pre-processing Stage in Machine Learning Workloads

Published in 7th International Conference on Algorithms, Computing and Artificial Intelligence, 2024

This paper analyzes the microarchitectural characteristics of pre-processing stages in ML workloads.

Recommended citation: Zhang, M., Lee, D. Y., Janarthanan, V., & Ryoo, J. (2024). Microarchitectural Analysis of Pre-processing Stage in Machine Learning Workloads. 7th International Conference on Algorithms, Computing and Artificial Intelligence. IEEE.
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