Speaker
Hamza Javed
(Pakistan Institute of Engin. and (PK))
Description
We describe the new Quartus backend of hls4ml, designed to deploy Neural Networks on Intel FPGAs. We list the supported network components and layer architectures (dense, binary/ternary, and convolutional neural networks) and evaluate its performance on a benchmark problem previously considered to develop the Vivado backend of hls4ml. We also introduce the support for recurrent layers and introduce a new asynchronous calling model to increase performance for larger models. In addition to that, we also demonstrate the use of this new model to optimize large-sparse networks.
Author
Hamza Javed
(Pakistan Institute of Engin. and (PK))
