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ASPLOS2024顶会

Don't Repeat Yourself! Coarse-Grained Circuit Deduplication to Accelerate RTL Simulation

Haoyuan Wang, Thomas Nijssen, Scott Beamer

2024年份
5被引次数
3顶会引用

摘要

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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