Dataflow compiler for QNN inference on FPGAs
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Events, Tutorials and Keynotes
FINN tutorial at FPL’24 (3rd September 2024)
FINN tutorial at FPL’23 (4th September 2023)
FINN tutorial at FPL’22 (2nd September 2022)
FINN tutorial, March 2021 (24th March 2021)
FINN tutorial at FPGA’21 (28th Feb 2021)
DAMON’2019 keynote:
Performance Scaling with Innovative Compute Architectures and FPGAs
Future of AI’2019 keynote:
Future of AI: Unconventional Compute Architectures
BigData Belfast’2018 talk:
Unconventional Compute Architectures for Enabling the Roll-Out of Deep Learning
CLUSTER’2018 keynote:
Unconventional Compute Architectures with Reconfigurable Devices in the Cloud
RCML’2018 invited talk:
The Emerging Computational Landscape of Neural Networks
HotChips’2018 ML tutorial:
Overview of Deep Learning and Computer Architectures for Accelerating DNNs
Video
ASAP’2018 keynote:
Design Trade-offs for Machine Learning Solutions on Reconfigurable Devices
ARC’2018 keynote:
Scalable Machine Learning with Reconfigurable Devices
FPGA’2018 tutorial:
Training Quantized Neural Networks
MPSoC 2017 talk:
A Framework for Reduced Precision Neural Networks on FPGAs
TCD 2017 guest lecture on ML:
Machine Learning for Embedded Systems (Video)
QPYNQ’2017 tutorial:
Quantized Neural Networks with Xilinx PYNQ