Naviq: An Open-Source System-on-Chip Simulator for Rapid Prototyping, Verification, and Design Space Exploration
Scott Smith, Lukas Zscherpel, Alyssa Huang, Marissa Lanz, Deming Chen
Abstract
Modern FPGA SoCs are no longer just collections of accelerators on top of a programmable fabric. They combine programmable logic with hardened processors, NoCs, and components that dominate end-to-end performance. Evaluating individual pieces is insufficient; system performance depends on the interplay of SoC components. However, current FPGA SoC simulations provide limited support for this style of evaluation. Vendor simulations capture these interactions but are prohibitively slow for iterative design-space exploration. At the same time, generic software models overly abstract the hardware components that determine real behavior, resulting in less accurate simulations. Fast, easy-to-use simulators that accurately model real SoCs are critical for system debugging and design space exploration. We present Naviq, an open-source, cycle-level software simulator for FPGA SoCs, tuned to AMD Versal-class architectures. Naviq bridges accurate but slow vendor simulation and fast software modeling: it captures key behaviors of modern commercial FPGA SoCs while being fast enough for debugging and design-space exploration. Naviq models hardened SoC infrastructure in C++ and integrates accelerators through Verilator, allowing designers to evaluate custom hardware in a full-system environment. At the center of Naviq is an AXI4-compliant NoC model that captures transaction ordering, packetization, routing, backpressure, and memory interactions. Naviq provides CPU and memory integration, protocol checking, checkpointing, tracing, and performance-analysis tools for debugging and design-space exploration. Experimental results show Naviq closely reproduces the bandwidth and latency of Vivado's RTL NoC model while accelerating the evaluated simulations by 81x-182x. We present five case studies demonstrating Naviq's capabilities. Naviq enables practical full-system evaluation of modern FPGA SoC designs.
Create a lesson
Related papers
HyPAIC: Personal AI Computer with High Bandwidth Flash for High Performance Trillion-Parameter LLM Inference
Minho Ha, Myunghyun Rhee, Euiseok Kim et al.
A Cross-Domain Matrix Engine for Signal Processing and Deep Neural Net Inference
Mehdi Safarpour
In-depth data movement characterization of DNA read mapping algorithms
Berkan Şahin, Ecem İlgün, Klea Zambaku et al.
TinyML Hits the Memory Wall: A Benchmark of Ten Sub-Watt Edge Devices
Pietro Bonazzi, Luigi Capogrosso, Ahmet Celik et al.
PagedMoE: Cross-Precision Expert Caching for Token-Level Dynamic Precision in SSD-Resident MoE Inference
Yutong Lin, Yingdi Shan, Shaoyuan Chen et al.
Memory Admission and Result-Retention Sizing in an RV32IMC FPGA Soft Processor
Yihang Dai, Shuyu Xu, Yinfeng Zhou et al.