Vijay Janapa Reddi

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 168

Top Venues

Publications

Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) (2024)
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)
Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi
Materiality and Risk in the Age of Pervasive AI Sensors. CoRR (2024)
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin Van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. CoRR (2024)
Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) (2024)
Jeffrey Ma, Alan Tu, Yiling Chen, Vijay Janapa Reddi
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting. CoRR (2024)
Colby R. Banbury, Emil J. Njor, Matthew Stewart, Pete Warden, Manjunath Kudlur, Nat Jeffries, Xenofon Fafoutis, Vijay Janapa Reddi
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection. CoRR (2024)
Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. CoRR (2024)
Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andrés Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat S. Chaudhari, Ronald Criollo, David Cuartielles, José A. Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales C. Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia (2024)
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (4) (2024)
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin Van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT (2024)
Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. CoRR (2023)
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
Is TinyML Sustainable? Commun. ACM 66 (11) (2023)
Colby R. Banbury, Vijay Janapa Reddi, Alexander Elium, Shawn Hymel, David Tischler, Daniel Situnayake, Carl Ward, Louis Moreau, Jenny Plunkett, Matthew Kelcey, Mathijs Baaijens, Alessandro Grande, Dmitry Maslov, Arthur Beavis, Jan Jongboom, Jessica Quaye
Edge Impulse: An MLOps Platform for Tiny Machine Learning. MLSys (2023)
Vijay Janapa Reddi, Amir Yazdanbakhsh
Architecture 2.0: Challenges and Opportunities. DAC (2023)
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. CoRR (2023)
Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi
Datasheets for Machine Learning Sensors. CoRR (2023)
Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. CoRR (2023)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. IROS (2023)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. CoRR (2023)
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR (2023)
Thanh Thi Nguyen, Vijay Janapa Reddi
Deep Reinforcement Learning for Cyber Security. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS (2023)
Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5 (7) (2023)
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys (2023)
Thanh Thi Nguyen, Cuong M. Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi
Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. ICCS (2) (2023)
Sabrina M. Neuman, Radhika Ghosal, Thomas Bourgeat, Brian Plancher, Vijay Janapa Reddi
RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots. ISCA (2023)
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC (2023)
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. ISPASS (2023)
Behzad Boroujerdian, Ying Jing, Devashree Tripathy, Amit Kumar, Lavanya Subramanian, Luke Yen, Vincent Lee, Vivek Venkatesan, Amit Jindal, Robert Shearer, Vijay Janapa Reddi
FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. DATE (2023)
Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar
An Electro-Photonic System for Accelerating Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19 (4) (2023)
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
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 (2023)
Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. ISCA (2023)
Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi
Machine Learning Sensors. Commun. ACM 66 (11) (2023)
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
CFU Playground: Want a faster ML processor? Do it yourself! DATE (2023)
Vijay Janapa Reddi, Boris Murmann
Special Issue on TinyML. IEEE Micro 43 (6) (2023)
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. CoRR (2023)
Cansu Demirkiran, Rashmi Agrawal, Vijay Janapa Reddi, Darius Bunandar, Ajay Joshi
Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators. CoRR (2023)
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. MICRO (2022)
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. CoRR (2022)
William Gaviria Rojas, Sudnya Frederick Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi, Cody Coleman
The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World. NeurIPS (2022)
Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR (2022)
Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022)
Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. CoRR (2022)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michal Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Stephen W. Keckler
Zhuyi: perception processing rate estimation for safety in autonomous vehicles. DAC (2022)
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. ACM Trans. Comput. Syst. 39 (2022)
Brian Plancher, Vijay Janapa Reddi
TinyMLedu: The Tiny Machine Learning Open Education Initiative. SIGCSE (2) (2022)
Maximilian Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference. CoRR (2022)
Shawn Hymel, Colby R. Banbury, Daniel Situnayake, Alex Elium, Carl Ward, Mat Kelcey, Mathijs Baaijens, Mateusz Majchrzycki, Jenny Plunkett, David Tischler, Alessandro Grande, Louis Moreau, Dmitry Maslov, Artie Beavis, Jan Jongboom, Vijay Janapa Reddi
Edge Impulse: An MLOps Platform for Tiny Machine Learning. CoRR (2022)
Sathwika Bavikadi, Abhijitt Dhavlle, Amlan Ganguly, Anand Haridass, Hagar Hendy, Cory E. Merkel, Vijay Janapa Reddi, Purab Ranjan Sutradhar, Arun Joseph, Sai Manoj Pudukotai Dinakarrao
A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms. IEEE Des. Test 39 (3) (2022)
Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. ICRA (2022)
Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. AICAS (2022)
Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge. CoRR (2022)
Javier M. Duarte, Nhan Tran, Benjamin Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, Vijay Janapa Reddi
FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning. CoRR (2022)
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. ISPASS (2022)
Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. CoRR (2022)
Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Tom St. John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta-fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika
MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. MLSys (2022)
Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. CoRR (2022)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. CoRR (2022)
Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS (2022)
Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. IROS (2022)
Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge. DATE (2022)
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. CoRR (2022)
Behzad Boroujerdian, Ying Jing, Amit Kumar, Lavanya Subramanian, Luke Yen, Vincent Lee, Vivek Venkatesan, Amit Jindal, Robert Shearer, Vijay Janapa Reddi
FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration. CoRR (2022)
Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi
Machine Learning Sensors. CoRR (2022)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michal Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Stephen W. Keckler
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles. CoRR (2022)
Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. DATE (2022)
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR (2022)
Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. CoRR (2022)
Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar
An Electro-Photonic System for Accelerating Deep Neural Networks. CoRR (2021)
Bardienus Pieter Duisterhof, Shushuai Li, Javier Burgués, Vijay Janapa Reddi, Guido C. H. E. de Croon
Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments. CoRR (2021)
Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Tiezhen Wang, Pete Warden, Rocky Rhodes
TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems. MLSys (2021)
Daniel Galvez, Greg Diamos, Juan Torres, Keith Achorn, Juan Felipe Cerón, Anjali Gopi, David Kanter, Max Lam, Mark Mazumder, Vijay Janapa Reddi
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. NeurIPS Datasets and Benchmarks (2021)
Mark Mazumder, Sharad Chitlangia, Colby R. Banbury, Yiping Kang, Juan Ciro, Keith Achorn, Daniel Galvez, Mark Sabini, Peter Mattson, David Kanter, Greg Diamos, Pete Warden, Josh Meyer, Vijay Janapa Reddi
Multilingual Spoken Words Corpus. NeurIPS Datasets and Benchmarks (2021)
Daniel Richins, Dharmisha Doshi, Matthew Blackmore, Aswathy Thulaseedharan Nair, Neha Pathapati, Ankit Patel, Brainard Daguman, Daniel Dobrijalowski, Ramesh Illikkal, Kevin Long, David Zimmerman, Vijay Janapa Reddi
AI Tax: The Hidden Cost of AI Data Center Applications. ACM Trans. Comput. Syst. 37 (1-4) (2021)
James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads. CoRR (2021)
James Gleeson, Moshe Gabel, Gennady Pekhimenko, Eyal de Lara, Srivatsan Krishnan, Vijay Janapa Reddi
RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads. MLSys (2021)
Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. CoRR (2021)
Colby R. Banbury, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba Király, Jeremy Holleman, Pietro Montino, David Kanter, Pete Warden, Danilo Pau, Urmish Thakker, Antonio Torrini, Jay Cordaro, Giuseppe Di Guglielmo, Javier M. Duarte, Honson Tran, Nhan Tran, Wenxu Niu, Xuesong Xu
MLPerf Tiny Benchmark. NeurIPS Datasets and Benchmarks (2021)
Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi
Few-Shot Keyword Spotting in Any Language. CoRR (2021)
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR (2021)
Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. MLSys (2021)
Brian Plancher, Sabrina M. Neuman, Thomas Bourgeat, Scott Kuindersma, Srinivas Devadas, Vijay Janapa Reddi
Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA. IEEE Robotics Autom. Lett. 6 (2) (2021)
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Aleksandra Faust, Vijay Janapa Reddi
Roofline Model for UAVs: A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones. CoRR (2021)
Mark D. Hill, Vijay Janapa Reddi
Accelerator-level parallelism. Commun. ACM 64 (12) (2021)
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu
The Vision Behind MLPerf: Understanding AI Inference Performance. IEEE Micro 41 (3) (2021)
Sabrina M. Neuman, Brian Plancher, Thomas Bourgeat, Thierry Tambe, Srinivas Devadas, Vijay Janapa Reddi
Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology. ASPLOS (2021)
Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (1) (2021)
Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi
Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter. ICRA (2021)
Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. ICML (2021)
Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. DAC (2021)
Colby R. Banbury, Vijay Janapa Reddi, Peter Torelli, Jeremy Holleman, Nat Jeffries, Csaba Király, Pietro Montino, David Kanter, Sebastian Ahmed, Danilo Pau, Urmish Thakker, Antonio Torrini, Pete Warden, Jay Cordaro, Giuseppe Di Guglielmo, Javier M. Duarte, Stephen Gibellini, Videet Parekh, Honson Tran, Nhan Tran, Wenxu Niu, Xuesong Xu
MLPerf Tiny Benchmark. CoRR (2021)
Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. CoRR (2021)
Bardienus Pieter Duisterhof, Shushuai Li, Javier Burgués, Vijay Janapa Reddi, Guido C. H. E. de Croon
Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments. IROS (2021)
Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
Erratum to "Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (6) (2021)
Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. DAC (2021)
Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. CoRR (2021)

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Vijay Janapa Reddi