- Domain-Specific Architecture Diagnosis
D.H. Noronha, Z. Que, W. Luk and S.J.E. Wilton,
Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAs,
IEEE International Symposium on
Field-Programmable Custom Computing Machines, 2021.
D.H. Noronha, R. Zhao, Z. Que, J. Goeders, W. Luk and S.J.E. Wilton,
An Overlay for Rapid FPGA Debug of Machine Learning Applications,
International Conference on Field-Programmable Technology, 2019.
(Best Paper Award candidate)
D.H. Noronha, R. Zhao, J. Goeders, W. Luk and S.J.E. Wilton,
On-chip FPGA Debug Instrumentation for Machine Learning Applications,
ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019.
S.J.E. Wilton, C.H. Ho, B.R. Quinton, P.H.W. Leong and W. Luk,
A Synthesizable Datapath-Oriented Embedded FPGA Fabric for Silicon
Debug Applications,
ACM Transactions on Reconfigurable Technology and Systems, Vol. 1, No. 1, Article 7, March 2008.
- Performance Tuning for Domain-Specific Architectures
Z. Que, D.H. Noronha, R. Zhao, X. Niu, S.J.E. Wilton and W. Luk, In-circuit Tuning of Deep Learning Designs, Journal of Systems Architecture, Vol. 118, September 2021.
M. Ferianc, H. Fan, D. Manocha, H. Zhou, S. Liu, X. Niu and W. Luk, Improving performance estimation for design space exploration for convolutional neural network accelerators, Electronics, 10(4):520, February 2021.