Don't Repeat Yourself! Coarse-Grained Circuit Deduplication to Accelerate RTL Simulation
Haoyuan Wang, Thomas Nijssen, Scott Beamer
Abstract
Designing a digital integrated circuit requires many register transfer level (RTL) simulations for design, debugging, and especially verification. To cope with the slow speed of RTL simulation, industry frequently uses private server farms to run many simulations in parallel. Surprisingly, the implications of parallel runs of different RTL simulations have not been extensively explored. Moreover, in modern digital hardware, there is a growing trend to replicate components to scale out. However, the potential for circuit deduplication has been mostly overlooked.
In this work, we pinpoint the shared last-level cache as the primary bottleneck impacting the throughput of RTL simulation. To address this issue, we propose a coarse-grained circuit deduplication strategy integrated into an RTL simulator. Our method involves identifying multiple instances of a single module within a digital circuit and creating shared code that can be applied to all of these instances. Our approach reduces the cache footprint by increasing code reuse, which consequently benefits processor components such as caches and branch predictors. Our experiments demonstrate that deduplication can bring up to 1.95× speedup in a single simulation, and achieve up to 2.09× overall RTL simulation throughput.
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Cited by top-tier papers3
- GSIM: Accelerating RTL Simulation for Large-Scale DesignsLu Chen, Dingyi Zhao, Zihao Yu, Ninghui Sun et al.DAC 2025 · 1 citation
- DiffTest-H: Toward Semantic-Aware Communication in Hardware-Accelerated Processor VerificationKunlin You, Yinan Xu, Kehan Feng, Luoshan Cai et al.MICRO 2025 · 1 citation
- RTeAAL Sim: Using Tensor Algebra to Represent and Accelerate RTL SimulationYan Zhu, Boru Chen, Christopher W. Fletcher, Nandeeka NayakASPLOS 2026 · 1 citation
Builds on6
- Efficiently Exploiting Low Activity Factors to Accelerate RTL SimulationScott Beamer, David DonofrioDAC 2020 · 36 citations
- RepCut: Superlinear Parallel RTL Simulation with Replication-Aided PartitioningHaoyuan Wang, Scott BeamerASPLOS 2023 · 25 citations
- Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous ParallelismMahyar Emami, Sahand Kashani, Keisuke Kamahori, Mohammad Sepehr Pourghannad et al.ASPLOS 2023 · 16 citations
- Accelerating RTL Simulation with Hardware-Software Co-DesignFares Elsabbagh, Shabnam Sheikhha, Victor A. Ying, Quan M. Nguyen et al.MICRO 2023 · 14 citations
- Loop Rerolling for Hardware DecompilationZachary D. Sisco, Jonathan Balkind, Timothy Sherwood, Ben HardekopfPLDI 2023 · 12 citations
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