Erika S. Alcorta

According to our database, Erika S. Alcorta authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

Learning-based Phase-aware Multi-core CPU Workload Forecasting.

Erika Susana Alcorta Lozano, Andreas Gerstlauer

ACM Trans. Design Autom. Electr. Syst., March, 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

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

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

2021

Phase-Aware CPU Workload Forecasting.

Erika S. Alcorta, Pranav Rama, Aswin Ramachandran, Andreas Gerstlauer

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021

Learning-Based Workload Phase Classification and Prediction Using Performance Monitoring Counters.

Erika S. Alcorta, Andreas Gerstlauer

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021