Talks - Tim Paine: Building FPGA-based Machine Learning Accelerators in Python
In this talk, we will demo a simple machine learning accelerator deployed on a commodity FPGA and developed using a Python-based toolchain. The FPGA platform is based on an entry level Xilinx FPGA, with a total cost of materials smaller than $200. The toolchain uses a combination of open source software, including PyTorch and ONNX for modeling, and Migen and LiteX for the construction of the System-on-chip. We will also survey the wide array of both open source and proprietary vendor tools necessary to build this project, and discuss the broader open source silicon landscape.
Watch video Talks - Tim Paine: Building FPGA-based Machine Learning Accelerators in Python online without registration, duration hours minute second in high quality. This video was added by user PyCon US 28 August 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 322 once and liked it 10 people.