Parendi: Thousand-Way Parallel RTL Simulation
March 07, 2024 Β· Declared Dead Β· π International Conference on Architectural Support for Programming Languages and Operating Systems
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Authors
Mahyar Emami, Thomas Bourgeat, James Larus
arXiv ID
2403.04714
Category
cs.DC: Distributed Computing
Cross-listed
cs.AR
Citations
4
Venue
International Conference on Architectural Support for Programming Languages and Operating Systems
Last Checked
3 months ago
Abstract
Hardware development critically depends on cycle-accurate RTL simulation. However, as chip complexity increases, conventional single-threaded simulation becomes impractical due to stagnant single-core performance. Parendi is an RTL simulator that addresses this challenge by exploiting the abundant fine-grained parallelism inherent in RTL simulation and efficiently mapping it onto the massively parallel Graphcore IPU (Intelligence Processing Unit) architecture. Parendi scales up to 5888 cores on 4 Graphcore IPU sockets. It allows us to run large RTL designs up to 4$\times$ faster than the most powerful state-of-the-art x64 multicore systems. To achieve this performance, we developed new partitioning and compilation techniques and carefully quantified the synchronization, communication, and computation costs of parallel RTL simulation: The paper comprehensively analyzes these factors and details the strategies that Parendi uses to optimize them.
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