Using FPGAs for Accelerating Machine Learning Applications

Project Objective

Evaluate performance of FPGA-based Machine Learning (ML) accelerators when used for real-time inference and/or signal processing.

Reading Material

• ​Xilinx Alveo 200 Cards
• ​Xilinx Machine Learning Suite
• ​Overview of FPGA architecture (especially for Xilinx devices), and comparison between FPGA and CPU

Week 1 Activites

• Get ORBIT/COSMOS account and familiarize oneself with the testbed procedures
• Learn about FPGAs
• ​Run simple perceptron model in Python