Daniel H. Noronha

According to our database, Daniel H. Noronha authored at least 15 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Adaptive Clock Management of HLS-generated Circuits on FPGAs.

Kahlan Gibson, Esther Roorda, Daniel Holanda Noronha, Steven J. E. Wilton

ACM Trans. Reconfigurable Technol. Syst., 2022

Boosting Domain-Specific Debug Through Inter-frame Compression.

Zakary Nafziger, Martin Chua, Daniel Holanda Noronha, Steven J. E. Wilton

Proceedings of the International Conference on Field-Programmable Technology, 2022

2021

In-circuit tuning of deep learning designs.

Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk

J. Syst. Archit., 2021

Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAs.

Daniel Holanda Noronha, Zhiqiang Que, Wayne Luk, Steven J. E. Wilton

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020

Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs.

Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2020

Syncopation: Adaptive Clock Management for High-Level Synthesis Generated Circuits on FPGAs.

Kahlan Gibson, Esther Roorda, Daniel Holanda Noronha, Steven J. E. Wilton

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

2019

Proposal of the Tactile Glove Device.

José Claudio Vieira S. Junior, Matheus F. Torquato, Daniel H. Noronha, Sergio N. Silva, Marcelo A. C. Fernandes

Sensors, 2019

A parallel implementation of sequential minimal optimization on FPGA.

Daniel H. Noronha, Matheus F. Torquato, Marcelo A. C. Fernandes

Microprocess. Microsystems, 2019

An Overlay for Rapid FPGA Debug of Machine Learning Applications.

Daniel Holanda Noronha, Ruizhe Zhao, Zhiqiang Que, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton

Proceedings of the International Conference on Field-Programmable Technology, 2019

Towards In-Circuit Tuning of Deep Learning Designs.

Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk

Proceedings of the International Conference on Computer-Aided Design, 2019

On-chip FPGA Debug Instrumentation for Machine Learning Applications.

Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018

LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks.

Daniel H. Noronha, Bahar Salehpour, Steven J. E. Wilton

CoRR, 2018

Kibo: An Open-Source Fixed-Point Tool-kit for Training and Inference in FPGA-Based Deep Learning Networks.

Daniel Holanda Noronha, Philip Heng Wai Leong, Steven J. E. Wilton

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

LeFlow: Automatic Compilation of TensorFlow Machine Learning Applications to FPGAs.

Daniel Holanda Noronha, Kahlan Gibson, Bahar Salehpour, Steven J. E. Wilton

Proceedings of the International Conference on Field-Programmable Technology, 2018

2017

Rapid circuit-specific inlining tuning for FPGA high-level synthesis.

Daniel H. Noronha, Jose P. Pinilla, Steven J. E. Wilton

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017