Publications

A list of current publications can also be found on my Google Scholar profile.

• RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots, Sabrina M. Neuman, Radhika Ghosal, Thomas Bourgeat, Brian Plancher, and Vijay Janapa Reddi, in Proceedings of the 50th Annual International Symposium on Computer Architecture (ISCA), 2023.
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• Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles, Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, and Vijay Janapa Reddi, in 55th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022. (IEEE Micro Top Picks 2023 Honorable Mention)
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• Case Study: Software and Tool Challenges Encountered in Parameterizing a Domain-Specific Accelerator, Radhika Ghosal and Sabrina M. Neuman, in Workshop on Languages, Tools, and Techniques for Accelerator Design (LATTE) at the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022.
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• Closing the Sim-to-Real Gap for Ultra-Low-Cost, Resource-Constrained, Quadruped Robot Platforms, Jason Jabbour, Sabrina M. Neuman, Mark Mazumder, Colby Banbury, Shvetank Prakash, Brian Plancher, and Vijay Janapa Reddi, in 3rd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics, at Robotics: Science and Systems (RSS) 2022.
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• GRiD: GPU-accelerated rigid body dynamics with analytical gradients, Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, and Vijay Janapa Reddi, in IEEE International Conference on Robotics and Automation (ICRA), 2022.
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• RobotCore: An Open Architecture for Hardware Acceleration in ROS 2, Victor Mayoral-Vilches, Sabrina M. Neuman, Brian Plancher, and Vijay Janapa Reddi, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
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• Tiny robot learning: challenges and directions for machine learning in resource-constrained robots, Sabrina M. Neuman, Brian Plancher, Bardienus P. Duisterhof, Srivatsan Krishnan, Colby Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, and Vijay Janapa Reddi, in IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022.
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• Accelerating robot dynamics gradients on a CPU, GPU, and FPGA, Brian Plancher, Sabrina M. Neuman, Thomas Bourgeat, Scott Kuindersma, Srinivas Devadas, and Vijay Janapa Reddi, in IEEE Robotics and Automation Letters (RA-L), 2021.
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• Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology, Sabrina M. Neuman, Brian Plancher, Thomas Bourgeat, Thierry Tambe, Srinivas Devadas, and Vijay Janapa Reddi, in Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021. (IEEE Micro Top Picks 2022 Honorable Mention)
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• Benchmarking and workload analysis of robot dynamics algorithms, Sabrina M. Neuman, Twan Koolen, Jules Drean, Jason E Miller, and Srinivas Devadas, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
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• Using application-level thread progress information to manage power and performance, Sabrina M. Neuman, Jason E Miller, Daniel Sanchez, and Srinivas Devadas, in IEEE International Conference on Computer Design (ICCD), 2017.
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• Power modeling and other new features in the graphite simulator, George Kurian, Sabrina M. Neuman, George Bezerra, Anthony Giovinazzo, Srinivas Devadas, and Jason E Miller, in IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2014.
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• A self-aware processor SoC using energy monitors integrated into power converters for self-adaptation, Yildiz Sinangil, Sabrina M. Neuman, Mahmut E Sinangil, Nathan Ickes, George Bezerra, Eric Lau, Jason E Miller, Henry C Hoffmann, Srini Devadas, and Anantha P Chandraksan, in Symposium on VLSI Circuits Digest of Technical Papers (VLSI Circuits), 2014.
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• Self-aware computing in the Angstrom processor, Henry Hoffmann, Jim Holt, George Kurian, Eric Lau, Martina Maggio, Jason E Miller, Sabrina M. Neuman, Mahmut Sinangil, Yildiz Sinangil, Anant Agarwal, Anantha P Chandrakasan, and Srinivas Devadas, in Proceedings of the 49th Annual Design Automation Conference (DAC), 2012.
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• FPGA-based spectral envelope preprocessor for power monitoring and control, Zachary Remscrim, James Paris, Steven B Leeb, Steven R Shaw, Sabrina M. Neuman, Christopher Schantz, Sean Muller, and Sarah Page, in Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), 2010.
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