Mahesh Madhav

According to our database, Mahesh Madhav authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

SPEC CPU: The Next Generation.

Mahesh Madhav, Allen Lee, Andres Mejia, Branden Moore, Charan Soppadandi, Chris Cambly, Christoph Müllner, Daniel Bowers, David Reiner, Denis Bakhvalov, Di Zhao, Duane Voth, Feng Xue, Frédérique Silber-Chaussumier, James Bucek, James Southern, Jiangning Liu, Jim Himer, John Henning, Kevin Smith, Kristen Yang, Kunal Kashyap, Mason Guy, Mat Colgrove, Michael Berg, Prasad Battini, Prasad Joshi, Rohit Prasad, Shayantika Bhattacharya, Sriyash Caculo, Stefan Reimbold, Sundar Iyengar, Van Smith, Zarko Todorovski

CoRR, May, 2026

ARM MTE Performance in Practice (Extended Version).

Taehyun Noh, Yingchen Wang, Tal Garfinkel, Mahesh Madhav, Daniel Moghimi, Mattan Erez, Shravan Narayan

CoRR, January, 2026

2025

Optimized Memory Tagging on AmpereOne Processors.

Shiv Kaushik, Mahesh Madhav, Nagi Aboulenein, Jason Bessette, Sandeep Brahmadathan, Ben Chaffin, Matthew Erler, Stéphan Jourdan, Thomas Maciukenas, Ramya Masti, Jon Perry, Massimo Sutera, Scott Tetrick, Bret Toll, David Turley, Carl Worth, Atiq Bajwa

CoRR, November, 2025

Memory Access Vectors: Improving Sampling Fidelity for CPU Performance Simulations.

Sriyash Caculo, Mahesh Madhav, Jeff Baxter

CoRR, June, 2025

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

Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms.

Erika S. Alcorta, Mahesh Madhav, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer

CoRR, 2023