Embedded FPGA and FPGA: The Fabric for Optimized Machine Learning

Embedded FPGA and FPGA: The Fabric for Optimized Machine Learning

Embedded FPGAs (eFPGAs) bring the power and flexibility of programmable logic to ASICs and SoCs. With eFPGAs, machine learning (ML) can be integrated in new form-factors such as mobile edge compute, IoT aggregation and SmartNIC.

What You Will Learn

Join us at this webinar as we demonstrate how you can optimize an eFPGA design in your ASIC or SoC for ML applications. You’ll learn:

  • How interfacing, routing, memory hierarchy and computation can be tuned to meet custom requirements.
  • How re-programmable hardware extends across computation, routing and memory hierarchy.
  • How to exploit data/weight persistence and sparse matrices to minimize data movement and calculations.
placeholder image
Mike Fitton, PhD - Sr. Director of Strategy and Planning at Achronix

Mr. Fitton has 25+ years of experience in the signal processing domain, including system architecture, algorithm development, and semiconductors across wireless operators, network infrastructure and most recently in machine learning.