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FireSim: Easy-to-use, Scalable, FPGA-accelerated Cycle-accurate Hardware Simulation in the Cloud (e.g. RISC-V Rocket Chip, BOOM, and more)

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FireSim: Easy-to-use, Scalable, FPGA-accelerated Cycle-accurate Hardware Simulation

FireSim Documentation Status

Using FireSim

To get started with using FireSim, see the tutorials on the FireSim documentation site: https://docs.fires.im/

What is FireSim?

FireSim is an open-source cycle-accurate, FPGA-accelerated scale-out computer system simulation platform developed in the Berkeley Architecture Research Group in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley.

FireSim is capable of simulating from one to thousands of multi-core compute nodes, derived directly from silicon-proven and open target-RTL (e.g. RISC-V Rocket Chip and BOOM), with an optional cycle-accurate network simulation tying them together. FireSim runs on FPGAs in public cloud environments like AWS EC2 F1, removing the high capex traditionally involved in large-scale FPGA-based simulation. FireSim also provides a Linux distribution that is compatible with the systems it simulates and automates the process of including new workloads into this Linux distribution.

You can learn more about FireSim in the following places:

Need help?

Contributing

  • See CONTRIBUTING.md

ISCA 2018 Paper

You can learn more about FireSim in our ISCA 2018 paper, which focuses on FireSim simulations with a globally-cycle-accurate network simulation:

Sagar Karandikar, Howard Mao, Donggyu Kim, David Biancolin, Alon Amid, Dayeol Lee, Nathan Pemberton, Emmanuel Amaro, Colin Schmidt, Aditya Chopra, Qijing Huang, Kyle Kovacs, Borivoje Nikolic, Randy Katz, Jonathan Bachrach, and Krste Asanović. FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud. In proceedings of the 45th International Symposium on Computer Architecture (ISCA’18), Los Angeles, CA, June 2018.

Paper PDF | IEEE Xplore | ACM DL

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FireSim: Easy-to-use, Scalable, FPGA-accelerated Cycle-accurate Hardware Simulation in the Cloud (e.g. RISC-V Rocket Chip, BOOM, and more)

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