Design of Machine Learning Accelerators as RISC-V Extensions using an Open Source Tool Flow

Sesli B, Sabih M, Hannig F, Teich J (2025)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Conference Proceedings Title: Proceedings of the International Conference on Computer Aided Design (ICCAD)

Event location: Munich DE

URI: https://ieeexplore.ieee.org/document/11240834

DOI: 10.1109/ICCAD66269.2025.11240834

Authors with CRIS profile

Batuhan Sesli Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Muhammad Sabih Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Frank Hannig Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Related research project(s)

Open-Source Design Tools for the Co-Development of AI Algorithms and AI Chips (DI-EDAI) May 1, 2024 - April 30, 2027

How to cite

APA:

Sesli, B., Sabih, M., Hannig, F., & Teich, J. (2025). Design of Machine Learning Accelerators as RISC-V Extensions using an Open Source Tool Flow. In IEEE (Eds.), Proceedings of the International Conference on Computer Aided Design (ICCAD). Munich, DE.

MLA:

Sesli, Batuhan, et al. "Design of Machine Learning Accelerators as RISC-V Extensions using an Open Source Tool Flow." Proceedings of the International Conference on Computer Aided Design (ICCAD), Munich Ed. IEEE, 2025.

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