Investigation of heterogeneous platform for deep learning

We are be investigating a heterogeneous platform for deep learning in which GPUs are applied for training and FPGAs are initially used for inference, and later on will be adapted for training with customizable data types. Ultimately, we will be looking at how to utilize both GPUs and FPGAs for training and inference in a tightly coupled system.


Yiyu Tan, RIKEN AICS, research scientist

Volodymyr Kindratenko, NCSA, senior research scientist

  • Janish Yerra, ECE, undergraduate student

Work in progress

Week of September 4th

  • Go over UG1023 and UG1021 tutorials
  • Running tools on iridium:

    sdx &
  • Copy examples to your own space:

    cd ~/project
    cp -r /opt/Xilinx/SDx/2017.1/samples .
    cp -r /opt/Xilinx/SDx/2017.1/examples .
    • you now have your own copy of samples and examples in ~/project

Week of September 11th

  • Continue with UG1023 and UG1021 tutorials