Date: June 17, 2025
Time: 3:00 PM – 4:30 PM ET
Join us on June 17, 2025 from 3:00 – 4:30 PM ET for “Introducing FABRIC’s Tofino P4 Hardware Switches for Networking Research and Beyond,” the next webinar in our Mastering FABRIC: Tips and Tricks Webinar series. This engaging session, led by Ganesh Chennimalai Sankaran and Cong Wang, will explore FABRIC’s Tofino P4 Hardware Switches for Networking Research and Beyond.
This webinar provides an introductory, hands-on overview of using Tofino-based P4 hardware switches within the FABRIC testbed for cutting-edge networking research. The session will walk through an example of connecting two nodes and explain the setup process for working with Tofino switches.
The session will also include a live demo, highlighting common challenges and troubleshooting steps. In addition, the session will showcase a real-world use case from an NSF CC* project, “Top Down Approach to Implementing Scientific Workflows in Transit using In-Network And Near-Network Resources”. You’ll gain practical insights into how programmable hardware can support innovative research and experiment design.
Don’t miss this opportunity to learn practical tips and tricks for leveraging FABRIC to enhance your networking experiments. Register now to secure your spot!
Register Here
Presenters
Ganesh Chennimalai Sankaran
Ganesh Chennimalai Sankaran has his Bachelors in Electronics & Communication Engineering and then higher degrees in Computer Science Engineering. Ganesh has two decades of Industry experience working for HCL-Cisco and then for Dell Networking division. Ganesh’s expertise spans across network management, network security and network operating systems. Ganesh has been a part of three startups they developed a mobile application, SD-WAN and optical computing hardware respectively. Ganesh has co-authored 30 research articles and has been the primary contributor on 25 patents including pioneering contributions to change detection and drop accounting. Programming network switches, computing at high data rates and designing converged hardware for computing and communications are Ganesh’s recent interests.
Cong Wang
Cong Wang is a Senior Researcher at RENCI, UNC Chapel Hill. He has his PhD from University of Massachusetts Amherst. Cong Wang has co-authored more than 40 papers with focus on networking, cloud and distributed systems, and AI/ML for infrastructure.