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Erika S. Alcorta

Erika Susana Alcorta Lozano

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2020 – today

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2024
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  - journals/cal/AlcortaMATYG24
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Erika S. Alcorta, Mahesh Madhav, Richard Afoakwa, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer:
Characterizing Machine Learning-Based Runtime Prefetcher Selection. IEEE Comput. Archit. Lett. 23(2): 146-149 (2024)
2023
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Erika Susana Alcorta Lozano, Andreas Gerstlauer:
Learning-based Phase-aware Multi-core CPU Workload Forecasting. ACM Trans. Design Autom. Electr. Syst. 28(2): 23:1-23:27 (2023)
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Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu:
Special Session: Machine Learning for Embedded System Design. CODES+ISSS 2023: 28-37
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Erika S. Alcorta, Mahesh Madhav, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer:
Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms. CoRR abs/2307.08635 (2023)
2021
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Erika S. Alcorta, Andreas Gerstlauer:
Learning-Based Workload Phase Classification and Prediction Using Performance Monitoring Counters. MLCAD 2021: 1-6
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Erika S. Alcorta, Pranav Rama, Aswin Ramachandran, Andreas Gerstlauer:
Phase-Aware CPU Workload Forecasting. SAMOS 2021: 195-209

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