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GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients


Sep 14, 2021
Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi

* 8 pages, 5 figures, 1 data table 

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RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity


Aug 30, 2021
Behzad Boroujerdian, Radhika Ghosal, Jonathan Cruz, Brian Plancher, Vijay Janapa Reddi

* will be published in Design Automation Conference (DAC) 2021 

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Widening Access to Applied Machine Learning with TinyML


Jun 09, 2021
Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart, Dustin Tingley

* Understanding the underpinnings of the TinyML edX course series: https://www.edx.org/professional-certificate/harvardx-tiny-machine-learning 

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MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles


May 27, 2021
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi

* 14 pages, 16 figures 

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