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User Papers

These are papers that use FireSim in their work (that we know of). Send us an email if you would like your paper listed here.

MICRO 2018: Composable Building Blocks to Open up Processor Design

Sizhuo Zhang (MIT), Andrew Wright (MIT), Thomas Bourgeat (MIT), Arvind (MIT). Composable Building Blocks to Open up Processor Design. In proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO’18), Fukuoka, Japan, October 2018. Paper PDF

ISCA 2018: A Hardware Accelerator for Tracing Garbage Collection

Martin Maas (UC Berkeley), Krste Asanović (UC Berkeley), John Kubiatowicz (UC Berkeley). A Hardware Accelerator for Tracing Garbage Collection. In proceedings of the 45th ACM/IEEE International Symposium on Computer Architecture (ISCA’18), Los Angeles, CA, June 2018. Paper PDF

FireSim Papers

These are papers about FireSim and its internal components.

ISCA 2018: FireSim: FPGA-Accelerated, Cycle-Accurate Scale-Out System Simulation in the Public Cloud

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 ACM/IEEE International Symposium on Computer Architecture (ISCA’18), Los Angeles, CA, June 2018.

Paper PDF | Slides PDF | IEEE Xplore

Press/Blogs

AWS Compute Blog: Bringing Datacenter-Scale Hardware-Software Co-design to the Cloud with FireSim and Amazon EC2 F1 Instances

Sagar Karandikar, Krste Asanović. Bringing Datacenter-Scale Hardware-Software Co-design to the Cloud with FireSim and Amazon EC2 F1 Instances. AWS Compute Blog. October 2017.

Link | Demo

External Talks

4th Workshop on Open Source Supercomputing (OpenSuCo 4) at Supercomputing 2018: FireSim: Scalable FPGA-accelerated Cycle-Accurate Hardware Simulation in the Cloud

Speaker: Sagar Karandikar. FireSim: Scalable FPGA-accelerated Cycle-Accurate Hardware Simulation in the Cloud. 4th Workshop on Open Source Supercomputing (OpenSuCo 4) at Supercomputing 2018, Dallas, TX, November 2018.

2018 IBM Research Workshop on Architectures for Secure, Cognitive, and Datacenter Computing: FireSim: Scalable FPGA-accelerated Cycle-Accurate Hardware Simulation in the Cloud.

Speaker: Sagar Karandikar. FireSim: Scalable FPGA-accelerated Cycle-Accurate Hardware Simulation in the Cloud. 2018 IBM Research Workshop on Architectures for Secure, Cognitive, and Datacenter Computing, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, November 2018.

ModSim 2018: Workshop on Modeling & Simulation of Systems and Applications: FireSim: Easy-to-use, Scalable, FPGA-accelerated Cycle-Accurate Hardware Simulation in the Cloud

Speaker: Sagar Karandikar. FireSim: Easy-to-use, Scalable, FPGA-accelerated Cycle-Accurate Hardware Simulation in the Cloud. ModSim 2018: Workshop on Modeling & Simulation of Systems and Applications, Seattle, WA, August 2018.

USENIX Vail Computer Elements Workshop, 2018: FireSim: Enabling fast, cycle-accurate warehouse-scale architecture research with open hardware and FPGAs in the cloud

Speaker: Sagar Karandikar. FireSim: Enabling fast, cycle-accurate warehouse-scale architecture research with open hardware and FPGAs in the cloud. USENIX Vail Computer Elements Workshop, 2018, Vail, CO, June 2018.

ISCA 2018: FireSim: FPGA-Accelerated, Cycle-Accurate Scale-Out System Simulation in the Public Cloud

Speaker: Sagar Karandikar. FireSim: FPGA-Accelerated, Cycle-Accurate Scale-Out System Simulation in the Public Cloud. 45th ACM/IEEE International Symposium on Computer Architecture (ISCA’18), Los Angeles, CA, June 2018.

Slides PDF | Paper Preprint

7th RISC-V Workshop: FireSim: Cycle-Accurate Rack-Scale System Simulation using FPGAs in the Public Cloud

Speaker: Sagar Karandikar. FireSim: Cycle-Accurate Rack-Scale System Simulation using FPGAs in the Public Cloud. 7th RISC-V Workshop, Milpitas, CA, November 2017.

Slides | Video