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research-article
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs
- Javier Campos,
- Jovan Mitrevski,
- Nhan Tran,
- Zhen Dong,
- Amir Gholaminejad,
- Michael W. Mahoney,
- Javier Duarte
We develop an end-to-end workflow for the training and implementation of co-designed neural networks (NNs) for efficient field-programmable gate array (FPGA) hardware. Our approach leverages Hessian-aware quantization of NNs, the Quantized Open Neural ...
research-article
NC-Library: Expanding SystemC Capabilities for Nested reConfigurable Hardware Modelling
As runtime reconfiguration is used in an increasing number of hardware architectures, new simulation and modeling tools are needed to support the developer during the design phases. In this article, a language extension for SystemC is presented, together ...