Software-defined Hardware-assisted Verification for the AI Era

This whitepaper introduces Synopsys’ vision for Software-defined Hardware-assisted Verification (HAV), in which stable, scalable hardware platforms are continuously enhanced through evolving software that improves performance, time-to-model, debug visibility, and use case flexibility over the hardware lifecycle.

By unifying specialized EP-Ready hardware, flexible and upgradable software stacks, and modular/hybrid methodologies, Synopsys delivers a verification infrastructure capable of supporting quadrillions of cycles, sustained AI workloads, and fast moving interface standards, enabling engineering teams to shift left, accelerate software bring-up, and confidently deliver complex silicon on schedule.

What you will learn:

• How software-defined HAV enables continuous performance, debug, and throughput improvements on existing ZeBu and HAPS hardware.
  
  
• How EP-Ready modular hardware, combined with emulation, prototyping, and hybrid flows, accelerates software bring-up, interface validation, and large-scale AI workload execution across IP, subsystem, SoC, and multi-die designs.
  
  
• How new use cases—such as compliance testing, RNM, hybrid virtualization, and long run AI workload validation—are enabled through modular HAV scaling, save/restore reliability, and flexible software-driven methodologies.