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Sabrina M. Neuman
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2020 – today
- 2024
- [c13]Sabrina M. Neuman
, Brian Plancher
Invited: The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. DAC 2024: 367:1-367:4 - [c12]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA 2024: 8288-8297 - [i6]Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. CoRR abs/2407.17311 (2024) - 2023
- [c11]Sabrina M. Neuman
RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots. ISCA 2023: 69:1-69:13 - [i5]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Alejandra Martínez-Fariña, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR abs/2309.09212 (2023) - 2022
- [c10]Sabrina M. Neuman, Brian Plancher
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS 2022: 296-299 - [c9]Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi:
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. ICRA 2022: 6253-6260 - [c8]Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. IROS 2022: 9692-9699 - [c7]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. MICRO 2022: 300-317 - [i4]Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. CoRR abs/2205.03929 (2022) - [i3]Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR abs/2205.05748 (2022) - 2021
- [j1]Brian Plancher
Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA. IEEE Robotics Autom. Lett. 6(2): 2335-2342 (2021) - [c6]Sabrina M. Neuman, Brian Plancher
Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology. ASPLOS 2021: 674-686 - [i2]Srivatsan Krishnan, Zishen Wan
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR abs/2102.02988 (2021) - [i1]Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi:
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. CoRR abs/2109.06976 (2021)
2010 – 2019
- 2019
- [c5]Sabrina M. Neuman, Twan Koolen, Jules Drean, Jason E. Miller, Srinivas Devadas:
Benchmarking and Workload Analysis of Robot Dynamics Algorithms. IROS 2019: 5235-5242 - 2017
- [c4]Sabrina M. Neuman, Jason E. Miller, Daniel Sánchez, Srinivas Devadas:
Using Application-Level Thread Progress Information to Manage Power and Performance. ICCD 2017: 501-508 - 2014
- [c3]George Kurian, Sabrina M. Neuman, George Bezerra, Anthony Giovinazzo, Srinivas Devadas, Jason E. Miller:
Power modeling and other new features in the Graphite simulator. ISPASS 2014: 132-134 - [c2]Yildiz Sinangil, Sabrina M. Neuman, Mahmut E. Sinangil, Nathan Ickes, George Bezerra, Eric Lau, Jason E. Miller, Henry Hoffmann, Srinivas Devadas, Anantha P. Chandrakasan:
A self-aware processor SoC using energy monitors integrated into power converters for self-adaptation. VLSIC 2014: 1-2 - 2012
- [c1]Henry Hoffmann, Jim Holt, George Kurian, Eric Lau, Martina Maggio
Self-aware computing in the Angstrom processor. DAC 2012: 259-264
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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