Daniel Holanda Noronha

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 11

Top Topics

Programmable Logic

Learning Design

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Zakary Nafziger, Martin Chua, Daniel Holanda Noronha, Steven J. E. Wilton
Boosting Domain-Specific Debug Through Inter-frame Compression. FPT (2022)
Kahlan Gibson, Esther Roorda, Daniel Holanda Noronha, Steven J. E. Wilton
Adaptive Clock Management of HLS-generated Circuits on FPGAs. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk
In-circuit tuning of deep learning designs. J. Syst. Archit. 118 (2021)
Daniel Holanda Noronha, Zhiqiang Que, Wayne Luk, Steven J. E. Wilton
Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAs. FCCM (2021)
Kahlan Gibson, Esther Roorda, Daniel Holanda Noronha, Steven J. E. Wilton
Syncopation: Adaptive Clock Management for High-Level Synthesis Generated Circuits on FPGAs. FPL (2020)
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk
Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs. FPT (2020)
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk
Towards In-Circuit Tuning of Deep Learning Designs. ICCAD (2019)
Daniel Holanda Noronha, Ruizhe Zhao, Zhiqiang Que, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton
An Overlay for Rapid FPGA Debug of Machine Learning Applications. FPT (2019)
Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton
On-chip FPGA Debug Instrumentation for Machine Learning Applications. FPGA (2019)
Daniel Holanda Noronha, Philip Heng Wai Leong, Steven J. E. Wilton
Kibo: An Open-Source Fixed-Point Tool-kit for Training and Inference in FPGA-Based Deep Learning Networks. IPDPS Workshops (2018)
Daniel Holanda Noronha, Kahlan Gibson, Bahar Salehpour, Steven J. E. Wilton
LeFlow: Automatic Compilation of TensorFlow Machine Learning Applications to FPGAs. FPT (2018)