Learning-Based Workload Phase Classification and Prediction Using Performance Monitoring Counters. - Erika S. Alcorta; Andreas Gerstlauer (MLCAD, 2021)

Phase-Aware CPU Workload Forecasting. - Erika S. Alcorta; Pranav Rama; Aswin Ramachandran; Andreas Gerstlauer (SAMOS, 2021)

Special Session: Machine Learning for Embedded System Design. - 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 (CODES+ISSS, 2023)

Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms. - Erika S. Alcorta; Mahesh Madhav; Scott Tetrick; Neeraja J. Yadwadkar; Andreas Gerstlauer (CoRR, 2023)

Learning-based Phase-aware Multi-core CPU Workload Forecasting. - Erika Susana Alcorta Lozano; Andreas Gerstlauer (ACM Trans. Design Autom. Electr. Syst., 2023)

Characterizing Machine Learning-Based Runtime Prefetcher Selection. - Erika S. Alcorta; Mahesh Madhav; Richard Afoakwa; Scott Tetrick; Neeraja J. Yadwadkar; Andreas Gerstlauer (IEEE Comput. Archit. Lett., 2024)