MCTS-based approximate accelerator synthesis / by Muhammad Awais. Paderborn, 2021
Inhalt
- Acknowledgements
- Abstract
- Zusammenfassung
- Table of Contents
- Introduction
- Challenges for CMOS technology in the Nano-era
- Approximate computing
- The focus of this thesis
- Contributions of the thesis
- Organization of the remainder
- Background and Related Work
- MCTS-based Framework for Approximate Accelerator Synthesis
- Chapter overview
- Proposed MCTS-based framework for approximate accelerator synthesis
- Overview of the framework
- MCTS and its adaptation to the accelerator circuit synthesis
- Selection policy
- Search space expansion policy
- Selection of approximate transformations
- Reward function
- Experimental setup and results
- Towards a modular and flexible framework CIRCA
- Motivation behind development of CIRCA
- Concept and architecture of CIRCA
- Search space exploration methods in CIRCA
- Bounding the search space
- Experimental setup and results
- Further Discussion
- Chapter conclusion
- Hybrid Methodology for Synthesis of Approximate Accelerators
- Chapter overview
- Motivational example
- Proposed hybrid methodology
- Analytical bit-width estimation through EVT
- Parallel search-based optimization
- Experimental results
- Chapter conclusion
- Machine Learning-based MCTS
- Chapter overview
- Motivation and background
- DNN enabled MCTS-based AxAC synthesis framework
- Experimental results
- Chapter conclusion
- Conclusion
- List of Tables
- List of Figures
- Author's Publications
- Bibliography
