Fast and Cycle-Accurate Simulation of RTL NoC Designs Using Test-Driven Cellular Automata
Autor: | Changbeom Choi, Daejin Park, Hessam S. Sarjoughian, Moon Gi Seok |
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Přispěvatelé: | School of Computer Science and Engineering |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Speedup
General Computer Science Computer science Network packet Network on chip cellular automata General Engineering Cellular Automata Parallel computing Cellular automaton test-driven rule generation Network On Chip Transmission (telecommunications) Computer science and engineering [Engineering] General Materials Science event-based simulation State (computer science) lcsh:Electrical engineering. Electronics. Nuclear engineering Routing (electronic design automation) RTL design lcsh:TK1-9971 |
Zdroj: | IEEE Access, Vol 8, Pp 2670-2686 (2020) |
ISSN: | 2169-3536 |
Popis: | Speeding up the register-transfer level (RTL) simulation of network-on-chip (NoC) is essential for design optimization under various use scenarios and parameters. One of the promising approaches for RTL NoC speedup is high-level modeling. Conventional high-level modeling approaches lead to an accuracy problem or modeling efforts that are caused by the absence of modeling framework or requiring in-depth knowledge of specific behaviors of target NoCs. To support cycle-accurate and formal high-level modeling framework, we propose a cellular automata (CA) modeling framework for RTL NoC. The CA abstracts detailed RTL NoC dynamics into the proposed high-level state transitions, which support flit transmission among CA components through dynamically changing flit paths based on the target RTL routing and arbitration algorithms. To prevent the meaningless execution of stable CA, the CA are designed to be triggered by state-change events. The proposed simulation engine asynchronously invokes CA to update their states and perform actions of flit transmissions or flit-path changes based on the state-decision result. To reduce the modeling difficulty, we provide a test environment that generates the state-transition rules for CA after monitoring the relationships between high-level states and leading actions under randomly injected packets during target RTL NoC simulations. Experiments demonstrate cycle-level functional homogeneity between RTL and the abstracted CA NoC models and significant simulation speedup. Published version |
Databáze: | OpenAIRE |
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