Mahmoud Khairy
Computer Science · Purdue University West Lafayette
Publications
18
Citations
626
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2015
Mahmoud Khairy's research focuses on computer architecture, particularly the design, simulation, and performance modeling of graphics processing units (GPUs) and parallel computing systems. Much of the work centers on building accurate simulation tools (like Accel-Sim) to study GPU memory systems, power consumption, and scalability for large multi-GPU workloads. This research is relevant to students interested in hardware simulation, high-performance computing, and understanding how GPU hardware executes parallel programs.
Publication output was most active between 2018 and 2021, with a notable slowdown and sparse activity from 2022 through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- ASLink: Modeling Multi-GPU Execution in Accel-Sim
2025
- A SIMT Analyzer for Multi-Threaded CPU Applications
2022
- AccelWattch: A Power Modeling Framework for Modern GPUs
2021
- Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads
2021
- Artifact for MICRO'21 paper "AccelWattch: A Power Modeling Framework for Modern GPUs"
Zenodo (CERN European Organization for Nuclear Research) · 2021
- Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling
2020
- Locality-Centric Data and Threadblock Management for Massive GPUs
2020
- A survey of architectural approaches for improving GPGPU performance, programmability and heterogeneity
Journal of Parallel and Distributed Computing · 2019
- A Detailed Model for Contemporary GPU Memory Systems
2019
- A Quantitative Evaluation of Contemporary GPU Simulation Methodology
ACM SIGMETRICS Performance Evaluation Review · 2019
- A Quantitative Evaluation of Contemporary GPU Simulation Methodology
Proceedings of the ACM on Measurement and Analysis of Computing Systems · 2018
- A Quantitative Evaluation of Contemporary GPU Simulation Methodology
ACM SIGMETRICS Performance Evaluation Review · 2018
- Exploring Modern GPU Memory System Design Challenges through Accurate Modeling
arXiv (Cornell University) · 2018
- A Quantitative Evaluation of Contemporary GPU Simulation Methodology
2018
- SACAT: Streaming-Aware Conflict-Avoiding Thrashing-Resistant GPGPU Cache Management Scheme
IEEE Transactions on Parallel and Distributed Systems · 2016
- ACM SIGMETRICS Performance Evaluation Review×2
- Journal of Parallel and Distributed Computing×1
- Proceedings of the ACM on Measurement and Analysis of Computing Systems×1
- IEEE Transactions on Parallel and Distributed Systems×1
- arXiv (Cornell University)×1
- Veljko Milutinović
Computer Science · Indiana University
- Timothy G. Rogers
Computer Science · Purdue University West Lafayette
- Bharath Ramesh
Computer Science · The Ohio State University
- Hari Subramoni
Computer Science · The Ohio State University
- Dhabaleswar K. Panda
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile