Leveraging Prior Knowledge for Effective Design-Space Exploration in High-Level Synthesis
A High Level Synthesis (HLS) Design Space Exploration (DSE) framework, developed by me under the supervision of Prof. Laura Pozzi and Prof. Luca Carloni duning an internship at Columbia University in the City of New York. I have proposed a novel design space exploration strategy investigating, for the first time, the feasibility of effectively harnessing the knowledge from past synthesis outcomes to guide the optimization of new designs. The proposed approach, by leveraging prior knowledge from a database of existing design space explorations, dramatically reduces the number of syntheses required by the explorations while retrieving a close approximation of the Pareto frontier.
This work has been presented at ESWEEK 20-25 September 2020 and will be published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2020.
Here is the presentation of the paper at ESWEEK 2020:
For more details about this work you can refer to:
| 2020 | Leveraging Prior Knowledge for Effective Design-Space Exploration in High-Level Synthesis |
| L. Ferretti, J. Kwon, G. Ansaloni, G Di Guglielmo, L. Carloni, and L. Pozzi. Leveraging Prior Knowledge for Effective Design-Space Exploration in High-Level Synthesis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2020. | |
Author
Lorenzo Ferretti, Ph.D., currently PostDoc at Università della Svizzera italiana (USI).
You can find more information about my work here and for any question you can contact me at [email protected].