Field-Programmable Gate Arrays (FPGAs) are gaining traction in research for their ability to deliver high-performance, energy-efficient computing across a range of domains—from machine learning and data analytics to signal processing and scientific simulations. However, integrating FPGA workflows into a shared university compute cluster presents unique challenges in terms of hardware management, toolchain support and user access. This session will explore the practical aspects of supporting FPGA applications in a multi-user academic environment. We will cover available FPGA platforms, commonly used development workflows (such as Xilinx Vivado and Vitis, Intel Quartus and OpenCL, and HLS), and the architectural and administrative considerations for cluster integration. Real-world use cases will illustrate how researchers and academics are leveraging FPGAs, and we’ll share lessons learned in enabling productive FPGA development. Attendees will gain insight into both the technical setup and the support models that foster a thriving FPGA user community on campus.
