The larger and more complex silicon chips become, the more important it is to find and fix problems early in your design cycle—before the issues become more costly and challenging to resolve. After all, no one wants to deal with an SoC re-spin. Thanks to FPGA-based prototyping, pre-silicon software development and system validation have become integral parts of the design cycle.
Prototyping systems, however, are under relentless pressure to do more as chips continue to evolve. Burgeoning applications like high-performance computing, artificial intelligence (AI), 5G, networking, and storage, as well as in-demand key IP like graphic processing units (GPUs), central processing units (CPUs), and AI accelerators, are driving greater silicon complexity and advancements like 3D packaging. Performance and flexibility remain critical for prototyping systems, and they are also increasingly challenging to achieve for larger, more complex chips. In this blog post, I’ll discuss the evolution of FPGA-based prototyping and highlight how the technology has advanced to support today’s SoCs.