Mohammed Bakr Sikal

Orcid: 0000-0001-9788-9026

According to our database1, Mohammed Bakr Sikal authored at least 13 papers between 2021 and 2026.

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Bibliography

2026
ARDiS: A Portable and Unified Resource Management Framework in Real Hardware Systems.
ACM Trans. Design Autom. Electr. Syst., July, 2026


2025
Cache Contention-Aware System-Level Resource Optimization on Clustered Multicores using Machine Learning.
PhD thesis, 2025

Towards the Optimization of Hardware Efficiency through Machine Learning.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024
Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization.
IEEE Embed. Syst. Lett., December, 2024

ML-Based Thermal and Cache Contention Alleviation on Clustered Manycores With 3-D HBM.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Balancing Security and Efficiency: System-Informed Mitigation of Power-Based Covert Channels.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on Manycores.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021


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