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Top-level repo for an FPGA hardware code generator for computing the analytical gradient of forward dynamics.

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robot-acceleration/roboshape

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roboshape

This is the top-level repo for the RoboShape hardware code generator from our paper "RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots" from ISCA 2023.

@inproceedings{10.1145/3579371.3589104,
author = {Neuman, Sabrina M. and Ghosal, Radhika and Bourgeat, Thomas and Plancher, Brian and Reddi, Vijay Janapa},
title = {RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots},
year = {2023},
isbn = {9798400700958},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3579371.3589104},
doi = {10.1145/3579371.3589104},
booktitle = {Proceedings of the 50th Annual International Symposium on Computer Architecture},
articleno = {69},
numpages = {13},
location = {Orlando, FL, USA},
series = {ISCA '23}
}

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Updated 06/19/2023:

This README will be updated with build and simulation instructions in the next few days, but feel free to browse the code!

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Top-level repo for an FPGA hardware code generator for computing the analytical gradient of forward dynamics.

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