firesim: productive, scalable, fpga-accelerated cycle

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FireSim: Productive, Scalable, FPGA-Accelerated Cycle-Accurate Hardware Simulation using Cloud FPGAs Sagar Karandikar , Howard Mao, Donggyu Kim, David Biancolin, Alon Amid, Borivoje Nikolic, Randy Katz, Jonathan Bachrach, Krste Asanovic. Dept. of Electrical Engineering and Computer Sciences, UC Berkeley. Contact: [email protected] The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0000849, DARPA Award Number HR0011-12-2-0016, RISE Lab sponsor Amazon Web Services, and ADEPT/ASPIRE Lab industrial sponsors and affiliates Intel, HP, Huawei, NVIDIA, and SK Hynix. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government, any agency thereof, or of the industrial sponsors. Acknowledgements/References Add University Logo Why build a scalable FPGA-accelerated HW simulator? Reproducing end-to-end application latency effects from real clusters 1024-Node Datacenter Simulation Latest Updates Mapping a simulation to EC2 F1 Example Datacenter Target Design Rack-scale (32-node) simulation metrics FireSim Features

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Page 1: FireSim: Productive, Scalable, FPGA-Accelerated Cycle

FireSim: Productive, Scalable, FPGA-Accelerated Cycle-Accurate Hardware

Simulation using Cloud FPGAsSagar Karandikar, Howard Mao, Donggyu Kim, David Biancolin, Alon Amid, Borivoje Nikolic, Randy Katz, Jonathan Bachrach, Krste Asanovic.

Dept. of Electrical Engineering and Computer Sciences, UC Berkeley. Contact: [email protected]

The information, data, or work presented herein was funded in part by the AdvancedResearch Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award NumberDE-AR0000849, DARPA Award Number HR0011-12-2-0016, RISE Lab sponsor Amazon WebServices, and ADEPT/ASPIRE Lab industrial sponsors and affiliates Intel, HP, Huawei, NVIDIA,and SK Hynix. The views and opinions of authors expressed herein do not necessarily state orreflect those of the United States Government, any agency thereof, or of the industrialsponsors.

Acknowledgements/References

AddUniversity

Logo

Why build a scalable FPGA-accelerated HW simulator?

Reproducing end-to-end application latency effects from real clusters

1024-Node Datacenter Simulation

Latest Updates

Mapping a simulation to EC2 F1

Example Datacenter Target Design

Rack-scale (32-node) simulation metrics

FireSim Features

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FireSim: FPGA-Accelerated Cycle-Exact Scale-Out … · from synthesizable RTL and run realistic software stacks, including booting Linux, at 10s to 100s of MHz. High- ... All together,

FPGA computing @ SISSApeople.sissa.it/~inno/pubs/FPGA-computing.pdf · 2016-12-06 · FPGA Computing project ... FPGA (acronym of Field Programmable Gate Array ) is a misnomer

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FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System ...biancolin/papers/firesim-isca18.pdf · sign FPGA-based applications that run in the cloud. Using an FPGA-enabled public cloud

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FireSim Documentation - Read the Docs · 2020-05-07 · in public cloud environments like AWS EC2 F1, removing the high capex traditionally involved in large-scale FPGA- based simulation

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FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System ... · FireSim FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud Sagar Karandikar, Howard Mao, Donggyu

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