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QuArch: A Question-Answering Dataset for AI Agents in Computer
Architecture
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2025
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Shvetank Prakash
A. F. Cheng
Jason Yik
Arya Tschand
Radhika Ghosal
Ikechukwu Uchendu
Jessica Quaye
Jeffrey Ma
Shreyas Grampurohit
Sofia Giannuzzi
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TinyML Security: Exploring Vulnerabilities in Resource-Constrained
Machine Learning Systems
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2024
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Jacob Huckelberry
Yuke Zhang
Anna Sansone
James Mickens
Peter A. Beerel
Vijay Janapa Reddi
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Generative AI Agents in Autonomous Machines: A Safety Perspective
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2024
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Jason Jabbour
Vijay Janapa Reddi
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MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning
Systems from {\mu}Watts to MWatts for Sustainable AI
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2024
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Arya Tschand
Arun Tejusve Raghunath Rajan
Sachin Idgunji
Anirban Ghosh
Jeremy Holleman
Csaba Király
Pawan Ambalkar
R.V. Borkar
Ramesh Chukka
Trevor Cockrell
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FedStaleWeight: Buffered Asynchronous Federated Learning with Fair
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2024
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Jeffrey Ma
Alan Tu
Yiling Chen
Vijay Janapa Reddi
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Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
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2024
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Jessica Quaye
Alicia Parrish
Oana Inel
Charvi Rastogi
Hannah Rose Kirk
Minsuk Kahng
Erin van Liemt
Max Bartolo
Jess Tsang
Justin P. White
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RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance
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2024
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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
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Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for
TinyML Person Detection
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2024
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Colby Banbury
Emil Njor
Matthew Stewart
Pete Warden
Manjunath Kudlur
Nat Jeffries
Xenofon Fafoutis
Vijay Janapa Reddi
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GPU-based Private Information Retrieval for On-Device Machine Learning Inference
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2024
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Maximilian Lam
Jeff Johnson
Wenjie Xiong
Kiwan Maeng
Udit Gupta
Yang Li
Liangzhen Lai
Ilias Leontiadis
Minsoo Rhu
Hsien-Hsin S. Lee
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Materiality and Risk in the Age of Pervasive AI Sensors
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2024
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Matthew Stewart
Emanuel Moss
Pete Warden
Brian Plancher
Susan Kennedy
Mona Sloane
Vijay Janapa Reddi
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Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse
Harms in Text-to-Image Generation
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2024
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Jessica Quaye
Alicia Parrish
Oana Inel
Charvi Rastogi
Hannah Rose Kirk
Minsuk Kahng
Erin van Liemt
Max Bartolo
Jess Tsang
J. Duncan White
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Machine Learning Sensors
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2023
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Pete Warden
Matthew Stewart
Brian Plancher
Sachin Katti
Vijay Janapa Reddi
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VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning
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2023
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Yu-Shun Hsiao
Siva Kumar Sastry Hari
Balakumar Sundaralingam
Jason Yik
Thierry Tambe
Charbel Sakr
Stephen W. Keckler
Vijay Janapa Reddi
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Federated benchmarking of medical artificial intelligence with MedPerf
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2023
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Alexandros Karargyris
Renato Umeton
Micah Sheller
Alejandro Aristizabal
Johnu George
Anna Wuest
Sarthak Pati
Hasan Kassem
Maximilian Zenk
Ujjwal Baid
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An Electro-Photonic System for Accelerating Deep Neural Networks
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2023
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Cansu Demirkiran
Furkan Eris
Gongyu Wang
Jonathan Elmhurst
Nick Moore
Nicholas C. Harris
Ayon Basumallik
Vijay Janapa Reddi
Ajay Joshi
Darius Bunandar
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BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
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2023
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Zishen Wan
Nandhini Chandramoorthy
Karthik Swaminathan
Pin‐Yu Chen
Vijay Janapa Reddi
Arijit Raychowdhury
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ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
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2023
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Srivatsan Krishnan
Amir Yazdanbakhsh
Shvetank Prakash
Jason Jabbour
Ikechukwu Uchendu
Susobhan Ghosh
Behzad Boroujerdian
Daniel Richins
Devashree Tripathy
Aleksandra Faust
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MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles
|
2023
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Yu-Shun Hsiao
Zishen Wan
Tianyu Jia
Radhika Ghosal
Abdulrahman Mahmoud
Arijit Raychowdhury
D. Brooks
Gu-Yeon Wei
Vijay Janapa Reddi
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ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
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2023
|
Srivatsan Krishnan
Amir Yazdanbakhsh
Shvetank Prakash
Jason Jabbour
Ikechukwu Uchendu
Susobhan Ghosh
Behzad Boroujerdian
Daniel Richins
Devashree Tripathy
Aleksandra Faust
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CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs
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2023
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Shvetank Prakash
Tim Callahan
Joseph Bushagour
Colby Banbury
Alan V. Green
Pete Warden
Tim Ansell
Vijay Janapa Reddi
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GPU-based Private Information Retrieval for On-Device Machine Learning Inference
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2023
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Maximilian Lam
JEFF JOHNSON
Wenjie Xiong
Kiwan Maeng
Udit Gupta
Minsoo Rhu
Hsien-Hsin S. Lee
Vijay Janapa Reddi
Gu-Yeon Wei
David J. Brooks
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Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers
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2023
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Shvetank Prakash
Matthew Stewart
Colby Banbury
Mark Mazumder
Pete Warden
Brian Plancher
Vijay Janapa Reddi
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NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking
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2023
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Jason Yik
Soikat Hasan Ahmed
Zergham Ahmed
B. J. Anderson
Andreas G. Andreou
Chiara Bartolozzi
Arindam Basu
Douwe den Blanken
Petrut Bogdan
Sander M. Bohté
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Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
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2023
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Alicia Parrish
Hannah Rose Kirk
Jessica Quaye
Charvi Rastogi
Max Bartolo
Oana Inel
Juan Ciro
Rafael Mosquera
Addison Howard
Will Cukierski
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ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
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2023
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Srivatsan Krishnan
Amir Yazdanbaksh
Shvetank Prakash
Jason Jabbour
Ikechukwu Uchendu
Susobhan Ghosh
Behzad Boroujerdian
Daniel Richins
Devashree Tripathy
Aleksandra Faust
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Datasheets for Machine Learning Sensors
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2023
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Matthew Stewart
Pete Warden
Yasmine Omri
Shvetank Prakash
João Santos
Shawn Hymel
Benjamin P. Brown
Jim MacArthur
Nat Jeffries
Brian Plancher
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Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators
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2023
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Cansu Demirkiran
Rashmi Agrawal
Vijay Janapa Reddi
Darius Bunandar
Ajay Joshi
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BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
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2023
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Zishen Wan
Nandhini Chandramoorthy
Karthik Swaminathan
Pin‐Yu Chen
Vijay Janapa Reddi
Arijit Raychowdhury
|
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RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance
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2023
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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
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VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning
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2023
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Yu-Shun Hsiao
Siva Kumar Sastry Hari
Balakumar Sundaralingam
Jason Yik
Thierry Tambe
Charbel Sakr
Stephen W. Keckler
Vijay Janapa Reddi
|
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DMLR: Data-centric Machine Learning Research -- Past, Present and Future
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2023
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Luis Oala
Manil Maskey
Lilith Bat-Leah
Alicia Parrish
Nezihe Merve Gürel
Tzu-Sheng Kuo
Yang Liu
Rotem Dror
Danilo Brajovic
Xiaozhe Yao
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RobotCore: An Open Architecture for Hardware Acceleration in ROS 2
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2022
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Víctor Mayoral-Vilches
Sabrina M. Neuman
Brian Plancher
Vijay Janapa Reddi
|
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Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities
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2022
|
Zishen Wan
Ashwin Sanjay Lele
Bo Yu
Shaoshan Liu
Yu Wang
Vijay Janapa Reddi
Cong Hao
Arijit Raychowdhury
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Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
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2022
|
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
|
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GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients
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2022
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Brian Plancher
Sabrina M. Neuman
Radhika Ghosal
Scott Kuindersma
Vijay Janapa Reddi
|
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+
PDF
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Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles
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2022
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Srivatsan Krishnan
Zishen Wan
Kshitij Bhardwaj
Ninad Jadhav
Aleksandra Faust
Vijay Janapa Reddi
|
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+
PDF
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OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge
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2022
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Tianyu Jia
En-Yu Yang
Yu-Shun Hsiao
Jonathan Cruz
David J. Brooks
Gu-Yeon Wei
Vijay Janapa Reddi
|
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+
PDF
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FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems
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2022
|
Zishen Wan
Aqeel Anwar
Abdulrahman Mahmoud
Tianyu Jia
Yu-Shun Hsiao
Vijay Janapa Reddi
Arijit Raychowdhury
|
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Widening Access to Applied Machine Learning with TinyML
|
2022
|
Vijay Janapa Reddi
Brian Plancher
Susan Kennedy
Laurence Moroney
Pete Warden
Lara Suzuki
Anant Agarwal
Colby Banbury
Massimo Banzi
Matthew R. Bennett
|
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CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs
|
2022
|
Shvetank Prakash
Tim Callahan
Joseph Bushagour
Colby Banbury
Alan V. Green
Pete Warden
Tim Ansell
Vijay Janapa Reddi
|
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FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration
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2022
|
Behzad Boroujerdian
Ying Jing
Amit Kumar
Lavanya Subramanian
Luke Yen
Vincent T. Lee
Vivek Venkatesan
Amit Kumar Jindal
Robert Shearer
Vijay Janapa Reddi
|
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FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems
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2022
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Zishen Wan
Aqeel Anwar
Abdulrahman Mahmoud
Tianyu Jia
Yu-Shun Hsiao
Vijay Janapa Reddi
Arijit Raychowdhury
|
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Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
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2022
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Maximilian Lam
Michael Mitzenmacher
Vijay Janapa Reddi
Gu-Yeon Wei
David J. Brooks
|
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Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles
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2022
|
Srivatsan Krishnan
Zishen Wan
Kshitij Bhardwaj
Ninad Jadhav
Aleksandra Faust
Vijay Janapa Reddi
|
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Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles
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2022
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Yu-Shun Hsiao
Siva Kumar Sastry Hari
Michał Filipiuk
Timothy Tsai
Michael B. Sullivan
Vijay Janapa Reddi
Vasu Singh
Stephen W. Keckler
|
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Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
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2022
|
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
|
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RobotCore: An Open Architecture for Hardware Acceleration in ROS 2
|
2022
|
Víctor Mayoral-Vilches
Sabrina M. Neuman
Brian Plancher
Vijay Janapa Reddi
|
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+
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Machine Learning Sensors
|
2022
|
Pete Warden
Matthew Stewart
Brian Plancher
Colby Banbury
Shvetank Prakash
Emma Chen
Zain Asgar
Sachin Katti
Vijay Janapa Reddi
|
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FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
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2022
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J. Duarte
Nhan Viet Tran
Benjamin Hawks
T. C. Herwig
Jules Muhizi
Shvetank Prakash
Vijay Janapa Reddi
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DataPerf: Benchmarks for Data-Centric AI Development
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2022
|
Mark Mazumder
Colby Banbury
Xiaozhe Yao
Bojan Karlaš
William Gaviria Rojas
Sudnya Diamos
Greg Diamos
Lynn He
Douwe Kiela
David Jurado
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Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration
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2022
|
Srivatsan Krishnan
Natasha Jaques
Shayegan Omidshafiei
Dan Zhang
İzzeddin Gür
Vijay Janapa Reddi
Aleksandra Faust
|
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Edge Impulse: An MLOps Platform for Tiny Machine Learning
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2022
|
Shawn Hymel
Colby Banbury
Daniel Situnayake
Alex Elium
Carl Ward
Mat Kelcey
Mathijs Baaijens
Mateusz Majchrzycki
Jenny Plunkett
David Tischler
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XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
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2022
|
Hyoukjun Kwon
Krishnakumar Nair
Jamin Seo
Jason Yik
Debabrata Mohapatra
Dongyuan Zhan
Jinook Song
P. Capak
Peizhao Zhang
P. Vajda
|
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Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities
|
2022
|
Zishen Wan
Ashwin Sanjay Lele
Bo Yu
Shaoshan Liu
Yu Wang
Vijay Janapa Reddi
Cong Hao
Arijit Raychowdhury
|
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+
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OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge
|
2022
|
Tianyu Jia
En-Yu Yang
Yu-Shun Hsiao
Jonathan Cruz
David J. Brooks
Gu-Yeon Wei
Vijay Janapa Reddi
|
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+
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QuaRL: Quantization for Sustainable Reinforcement Learning.
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2021
|
Srivatsan Krishnan
Maximilian Lam
Sharad Chitlangia
Zishen Wan
Gabriel Barth-Maron
Aleksandra Faust
Vijay Janapa Reddi
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+
PDF
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Accelerator-level parallelism
|
2021
|
Mark D. Hill
Vijay Janapa Reddi
|
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The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage.
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2021
|
Daniel Gálvez
Greg Diamos
Juan Ciro
Juan Felipe Cerón
Keith Achorn
Anjali Gopi
David Kanter
Maximilian Lam
Mark Mazumder
Vijay Janapa Reddi
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+
PDF
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The People's Speech: A Large-Scale Diverse English Speech Recognition
Dataset for Commercial Usage
|
2021
|
Daniel Gálvez
Greg Diamos
Juan Ciro
Juan Felipe Cerón
Keith Achorn
Anjali Gopi
David Kanter
Maximilian Lam
Mark Mazumder
Vijay Janapa Reddi
|
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Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems.
|
2021
|
Zishen Wan
Aqeel Anwar
Yu-Shun Hsiao
Tianyu Jia
Vijay Janapa Reddi
Arijit Raychowdhury
|
|
+
PDF
Chat
|
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems
|
2021
|
Zishen Wan
Aqeel Anwar
Yu-Shun Hsiao
Tianyu Jia
Vijay Janapa Reddi
Arijit Raychowdhury
|
|
+
PDF
Chat
|
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity
|
2021
|
Behzad Boroujerdian
Radhika Ghosal
Jonathan Cruz
Brian Plancher
Vijay Janapa Reddi
|
|
+
|
Roofline Model for UAVs: A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones.
|
2021
|
Srivatsan Krishnan
Zishen Wan
Kshitij Bhardwaj
Aleksandra Faust
Vijay Janapa Reddi
|
|
+
PDF
Chat
|
Deep Reinforcement Learning for Cyber Security
|
2021
|
Thanh Thi Nguyen
Vijay Janapa Reddi
|
|
+
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MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
|
2021
|
Alexandros Karargyris
Renato Umeton
Micah Sheller
Alejandro Aristizabal
Johnu George
Srini Bala
Daniel J. Beutel
Victor Bittorf
Akshay Chaudhari
Alexander Chowdhury
|
|
+
PDF
Chat
|
Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments
|
2021
|
Bardienus P. Duisterhof
Shushuai Li
Javier Burgués
Vijay Janapa Reddi
Guido C. H. E. de Croon
|
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+
PDF
Chat
|
Few-Shot Keyword Spotting in Any Language
|
2021
|
Mark Mazumder
Colby Banbury
Josh Meyer
Pete Warden
Vijay Janapa Reddi
|
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MLPerf Tiny Benchmark
|
2021
|
Colby Banbury
Vijay Janapa Reddi
Peter Torelli
Jeremy Holleman
Nat Jeffries
Csaba Király
Pietro Montino
David Kanter
Sebastian Ahmed
Danilo Pau
|
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MLPerf Tiny Benchmark
|
2021
|
Colby Banbury
Vijay Janapa Reddi
Peter Torelli
Jeremy Holleman
Nat Jeffries
Csaba Király
Pietro Montino
David Kanter
Sebastian Ahmed
Danilo Pau
|
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+
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Widening Access to Applied Machine Learning with TinyML.
|
2021
|
Vijay Janapa Reddi
Brian Plancher
Susan Kennedy
Laurence Moroney
Pete Warden
Anant Agarwal
Colby Banbury
Massimo Banzi
Matthew R. Bennett
Benjamin Brown
|
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+
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Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots.
|
2021
|
Srivatsan Krishnan
Zishen Wan
Kshitij Bhardwaj
Paul N. Whatmough
Aleksandra Faust
Sabrina M. Neuman
Gu-Yeon Wei
David Brooks
Vijay Janapa Reddi
|
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+
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AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs.
|
2021
|
Srivatsan Krishnan
Zishen Wan
Kshitij Bhardwaj
Paul N. Whatmough
Aleksandra Faust
Sabrina M. Neuman
Gu-Yeon Wei
David Brooks
Vijay Janapa Reddi
|
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+
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RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
|
2021
|
James P. Gleeson
Srivatsan Krishnan
Moshe Gabel
Vijay Janapa Reddi
Eyal de Lara
Gennady Pekhimenko
|
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Data Engineering for Everyone
|
2021
|
Vijay Janapa Reddi
Greg Diamos
Pete Warden
Peter Mattson
David Kanter
|
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+
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Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
|
2021
|
Maximilian Lam
Gu-Yeon Wei
David Brooks
Vijay Janapa Reddi
Michael Mitzenmacher
|
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+
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AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots
|
2021
|
Srivatsan Krishnan
Thierry Tambe
Zishen Wan
Vijay Janapa Reddi
|
|
+
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Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems
|
2021
|
Zishen Wan
Aqeel Anwar
Yu-Shun Hsiao
Tianyu Jia
Vijay Janapa Reddi
Arijit Raychowdhury
|
|
+
|
Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones
|
2021
|
Srivatsan Krishnan
Zishen Wan
Kshitij Bhardwaj
Aleksandra Faust
Vijay Janapa Reddi
|
|
+
|
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
|
2021
|
Alexandros Karargyris
Renato Umeton
Micah Sheller
Alejandro Aristizabal
Johnu George
Srini Bala
Daniel J. Beutel
Victor Bittorf
Akshay Chaudhari
Alexander Chowdhury
|
|
+
|
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients
|
2021
|
Brian Plancher
Sabrina M. Neuman
Radhika Ghosal
Scott Kuindersma
Vijay Janapa Reddi
|
|
+
|
An Electro-Photonic System for Accelerating Deep Neural Networks
|
2021
|
Cansu Demirkiran
Furkan Eris
Gongyu Wang
Jonathan Elmhurst
Nick Moore
Nicholas C. Harris
Ayon Basumallik
Vijay Janapa Reddi
Ajay Joshi
Darius Bunandar
|
|
+
|
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity
|
2021
|
Behzad Boroujerdian
Radhika Ghosal
Jonathan Cruz
Brian Plancher
Vijay Janapa Reddi
|
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+
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Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments
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2021
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Bardienus P. Duisterhof
Shushuai Li
Javier Burgués
Vijay Janapa Reddi
Guido C. H. E. de Croon
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+
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Widening Access to Applied Machine Learning with TinyML
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2021
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Vijay Janapa Reddi
Brian Plancher
Susan Kennedy
Laurence Moroney
Pete Warden
Anant Agarwal
Colby Banbury
Massimo Banzi
Matthew R. Bennett
Benjamin P. Brown
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+
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AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs
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2021
|
Srivatsan Krishnan
Zishen Wan
Kshitij Bhardwaj
Paul N. Whatmough
Aleksandra Faust
Sabrina M. Neuman
Gu-Yeon Wei
David J. Brooks
Vijay Janapa Reddi
|
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+
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MLPerf Tiny Benchmark
|
2021
|
Colby Banbury
Vijay Janapa Reddi
Peter Torelli
Jeremy Holleman
Nat Jeffries
Csaba Király
Pietro Montino
David Kanter
Sebastian Ahmed
Danilo Pau
|
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+
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The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage
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2021
|
Daniel Gálvez
Greg Diamos
Juan Ciro
Juan Felipe Cerón
Keith Achorn
Anjali Gopi
David Kanter
Maximilian Lam
Mark Mazumder
Vijay Janapa Reddi
|
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+
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MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles
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2021
|
Yu-Shun Hsiao
Zishen Wan
Tianyu Jia
Radhika Ghosal
Abdulrahman Mahmoud
Arijit Raychowdhury
David J. Brooks
Gu-Yeon Wei
Vijay Janapa Reddi
|
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+
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MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It.
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2020
|
Vijay Janapa Reddi
David Kanter
Peter Mattson
Jared Duke
Thai Van Nguyen
Ramesh Chukka
Kenneth Shiring
Koan-Sin Tan
Mark Charlebois
William Chou
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+
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MLPerf Mobile Inference Benchmark
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2020
|
Vijay Janapa Reddi
David Kanter
Peter Mattson
Jared Duke
Thai Van Nguyen
Ramesh Chukka
Kenneth Shiring
Koan-Sin Tan
Mark Charlebois
William Chou
|
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+
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TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems.
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2020
|
Robert David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
Jian Li
Nick Kreeger
Ian Nappier
Meghna Natraj
Shlomi Regev
|
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+
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AI Tax: The Hidden Cost of AI Data Center Applications
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2020
|
Daniel Richins
Dharmisha Doshi
Matthew Blackmore
Aswathy Thulaseedharan Nair
Neha Pathapati
Ankit Patel
Brainard Daguman
Daniel Dobrijalowski
Ramesh Illikkal
Kevin Long
|
|
+
PDF
Chat
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MLPerf Inference Benchmark
|
2020
|
Vijay Janapa Reddi
Christine Cheng
David Kanter
Peter Mattson
Guenther Schmuelling
Carole-Jean Wu
Brian A. Anderson
Maximilien Breughe
Mark Charlebois
William Chou
|
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+
PDF
Chat
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Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins
|
2020
|
George N. Papadimitriou
Athanasios Chatzidimitriou
Dimitris Gizopoulos
Vijay Janapa Reddi
Jingwen Leng
Behzad Salami
Osman Ünsal
Adrián Cristal Kestelman
|
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+
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Quantized Neural Network Inference with Precision Batching.
|
2020
|
Maximilian Lam
Zachary Yedidia
Colby Banbury
Vijay Janapa Reddi
|
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+
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Benchmarking TinyML Systems: Challenges and Direction
|
2020
|
Colby Banbury
Vijay Janapa Reddi
Max W. Y. Lam
William Fu
Amin Fazel
Jeremy Holleman
Xinyuan Huang
Robert Hurtado
David Kanter
Anton Lokhmotov
|
|
+
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MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers
|
2020
|
Colby Banbury
Chuteng Zhou
Igor Fedorov
Ramon Matas Navarro
Urmish Thakker
Dibakar Gope
Vijay Janapa Reddi
Matthew Mattina
Paul N. Whatmough
|
|
+
|
MLPerf Mobile Inference Benchmark
|
2020
|
Vijay Janapa Reddi
David Kanter
Peter Mattson
Jared Duke
Thai Binh Nguyen
Ramesh Chukka
Ken Shiring
Koan-Sin Tan
Mark Charlebois
William Chou
|
|
+
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TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
|
2020
|
Robert David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
Jian Li
Nick Kreeger
Ian Nappier
Meghna Natraj
Shlomi Regev
|
|
+
|
AI Tax: The Hidden Cost of AI Data Center Applications
|
2020
|
Daniel Richins
Dharmisha Doshi
Matthew Blackmore
Aswathy Thulaseedharan Nair
Neha Pathapati
Ankit Patel
Brainard Daguman
Daniel Dobrijalowski
Ramesh Illikkal
Kevin Long
|
|
+
|
Quantized Neural Network Inference with Precision Batching
|
2020
|
Maximilian Lam
Zachary Yedidia
Colby Banbury
Vijay Janapa Reddi
|
|
+
|
Quantized Reinforcement Learning (QuaRL)
|
2019
|
Srivatsan Krishnan
Sharad Chitlangia
Maximilian Lam
Zishen Wan
Aleksandra Faust
Vijay Janapa Reddi
|
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+
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Learning to Seek: Autonomous Source Seeking on a Nano Drone Microcontroller with Deep Reinforcement Learning
|
2019
|
Bardienus P. Duisterhof
Srivatsan Krishnan
Jonathan Cruz
Colby Banbury
William Fu
Aleksandra Faust
Guido C. H. E. de Croon
Vijay Janapa Reddi
|
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+
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Learning to Seek: Deep Reinforcement Learning for Phototaxis of a Nano Drone in an Obstacle Field
|
2019
|
Bardienus P. Duisterhof
Srivatsan Krishnan
Jonathan Cruz
Colby Banbury
William Fu
Aleksandra Faust
Guido C. H. E. de Croon
Vijay Janapa Reddi
|
|
+
|
Learning to Seek: Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter
|
2019
|
Bardienus P. Duisterhof
Srivatsan Krishnan
Jonathan Cruz
Colby Banbury
William Fu
Aleksandra Faust
Guido C. H. E. de Croon
Vijay Janapa Reddi
|
|
+
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Accelerator-level Parallelism
|
2019
|
Mark D. Hill
Vijay Janapa Reddi
|
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+
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Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots
|
2019
|
Srivatsan Krishnan
Behzad Boroujerdian
William Fu
Aleksandra Faust
Vijay Janapa Reddi
|
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+
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MAVBench: Micro Aerial Vehicle Benchmarking
|
2019
|
Behzad Boroujerdian
Hasan Genc
Srivatsan Krishnan
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
|
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+
PDF
Chat
|
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-Off in Machine Learning Cloud Service APIs via Tolerance Tiers
|
2019
|
Matthew Halpern
Behzad Boroujerdian
Todd Mummert
Evelyn Duesterwald
Vijay Janapa Reddi
|
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+
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The Role of Compute in Autonomous Aerial Vehicles
|
2019
|
Behzad Boroujerdian
Hasan Genc
Srivatsan Krishnan
Bardienus P. Duisterhof
Brian Plancher
Kayvan Mansoorshahi
Marcelino M. de Almeida
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
|
|
+
|
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference
|
2019
|
Thierry Tambe
En-Yu Yang
Zishen Wan
Yuntian Deng
Vijay Janapa Reddi
Alexander M. Rush
David Brooks
Gu-Yeon Wei
|
|
+
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Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
|
2019
|
Bardienus P. Duisterhof
Srivatsan Krishnan
Jonathan Cruz
Colby Banbury
William Fu
Aleksandra Faust
Guido C. H. E. de Croon
Vijay Janapa Reddi
|
|
+
|
MLPerf Training Benchmark
|
2019
|
Peter Mattson
Christine Cheng
Cody Coleman
Greg Diamos
Paulius Micikevicius
David E. Patterson
Hanlin Tang
Gu-Yeon Wei
Peter Bailis
Victor Bittorf
|
|
+
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MLPerf Inference Benchmark
|
2019
|
Vijay Janapa Reddi
Christine Cheng
David Kanter
Peter Mattson
Guenther Schmuelling
Carole-Jean Wu
Brian A. Anderson
Maximilien Breughe
Mark Charlebois
William Chou
|
|
+
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MAVBench: Micro Aerial Vehicle Benchmarking
|
2019
|
Behzad Boroujerdian
Hasan Genç
Srivatsan Krishnan
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
|
|
+
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QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
|
2019
|
Srivatsan Krishnan
Maximilian Lam
Sharad Chitlangia
Zishen Wan
Gabriel Barth-Maron
Aleksandra Faust
Vijay Janapa Reddi
|
|
+
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GLADAS: Gesture Learning for Advanced Driver Assistance Systems
|
2019
|
Ethan Shaotran
Jonathan Cruz
Vijay Janapa Reddi
|
|
+
|
Accelerator-level Parallelism
|
2019
|
Mark D. Hill
Vijay Janapa Reddi
|
|
+
|
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation
|
2019
|
Srivatsan Krishnan
Behzad Boroujerdian
William Fu
Aleksandra Faust
Vijay Janapa Reddi
|
|
+
PDF
Chat
|
MAVBench: Micro Aerial Vehicle Benchmarking
|
2018
|
Behzad Boroujerdian
Hasan Genc
Srivatsan Krishnan
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
|
|
+
PDF
Chat
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Domain-Specific Approximation for Object Detection
|
2018
|
Ting-Wu Chin
Chia-Lin Yu
Matthew Halpern
Hasan Genc
Shiao‐Li Tsao
Vijay Janapa Reddi
|
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+
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EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses
|
2016
|
Mikhail Kazdagli
Ling Huang
Vijay Janapa Reddi
Mohit Tiwari
|
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+
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EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses
|
2016
|
Mikhail Kazdagli
Ling Huang
Vijay Janapa Reddi
Mohit Tiwari
|