Vijay Janapa Reddi

253 papers A* 50A 18B 8C 1Misc 2Journal 143Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon. CoRR Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi
2026	—	`conf`	Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge. ASPLOS (2) Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jedrzej Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi
2026	J	`jnl`	See it to Place it: Evolving Macro Placements with Vision-Language Models. CoRR Ikechukwu Uchendu, Swati Goel, Karly Hou, Ebrahim M. Songhori, Kuang-Huei Lee, Joe Wenjie Jiang, Vijay Janapa Reddi, Vincent Zhuang
2026	J	`jnl`	TinyTorch: Building Machine Learning Systems from First Principles. CoRR Vijay Janapa Reddi
2025	A*	`conf`	333-eDRAM - 3T Embedded DRAM Leveraging Monolithic 3D Integration of 3 Transistor Types: IGZO, Carbon Nanotube and Silicon FETs. DAC David Kong, Shvetank Prakash, Jedrzej Kufel, Georgios Kyriazidis, Yasmine Omri, David Verity, Emre Ozer, Vijay Janapa Reddi, Gage Hills
2025	J	`jnl`	A2Perf: Real-World Autonomous Agents Benchmark. CoRR Ikechukwu Uchendu, Jason Jabbour, Korneel Van den Berghe, Joel Runevic, Matthew Stewart, Jeffrey Jian Ma, Srivatsan Krishnan, Izzeddin Gur, Austin Huang, Colton Bishop, Paige Bailey, Wenjie Jiang, Ebrahim M. Songhori, Sergio Guadarrama, Jie Tan, Jordan K. Terry, Aleksandra Faust, Vijay Janapa Reddi
2025	J	`jnl`	AI Benchmark Democratization and Carpentry. CoRR Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam, Juri Papay, Armstrong Foundjem, Piotr Luszczek, Murali Emani, Shirley V. Moore, Vijay Janapa Reddi, Matthew D. Sinclair, Sebastian Lobentanzer, Sujata S. Goswami, Benjamin Hawks, Marco Colombo, Nhan Tran, Christine R. Kirkpatrick, Abdulkareem Alsudais, Gregg Barrett, Tianhao Li, Kirsten N. Morehouse, Shivaram Venkataraman, Rutwik Jain, Kartik Mathur, Victor Lu, Tejinder Singh, Khojasteh Z. Mirza, Kongtao Chen, Sasidhar Kunapuli, Gavin Farrell, Renato Umeton, Geoffrey C. Fox
2025	A*	`conf`	ARTEMIS: Agile Discovery of Efficient Real-Time Systems-on-Chips in the Heterogeneous Era. HPCA Subhankar Pal, Aporva Amarnath, Behzad Boroujerdian, Augusto Vega, Alper Buyuktosunoglu, John-David Wellman, Vijay Janapa Reddi, Pradip Bose
2025	J	`jnl`	Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks. CoRR Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi, Guido C. H. E. de Croon
2025	J	`jnl`	Architecture 2.0: Foundations of Artificial Intelligence Agents for Modern Computer System Design. Computer Vijay Janapa Reddi, Amir Yazdanbakhsh
2025	J	`jnl`	COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems. CoRR Aditi Raju, Jared Ni, William Won, Changhai Man, Srivatsan Krishnan, Srinivas Sridharan, Amir Yazdanbakhsh, Tushar Krishna, Vijay Janapa Reddi
2025	J	`jnl`	Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered. CoRR Jason Jabbour, Dong-Ki Kim, Max Olan Smith, Jay Patrikar, Radhika Ghosal, Youhui Wang, Ali Agha, Vijay Janapa Reddi, Shayegan Omidshafiei
2025	J	`jnl`	From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models. CoRR Jessica Quaye, Charvi Rastogi, Alicia Parrish, Oana Inel, Minsuk Kahng, Lora Aroyo, Vijay Janapa Reddi
2025	J	`jnl`	Generative AI at the Edge: Challenges and Opportunities: The next phase in AI deployment. ACM Queue Vijay Janapa Reddi
2025	B	`conf`	Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. ISPASS Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi
2025	J	`jnl`	Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. CoRR Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Katie Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi
2025	J	`jnl`	Lifetime-Aware Design of Item-Level Intelligence. CoRR Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jedrzej Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi
2025	A*	`conf`	MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI. HPCA Arya Tschand, Arun Tejusve Raghunath Rajan, Sachin Idgunji, Anirban Ghosh, Jeremy Holleman, Csaba Király, Pawan Ambalkar, Ritika Borkar, Ramesh Chukka, Trevor Cockrell, Oliver Curtis, Grigori Fursin, Miro Hodak, Hiwot Kassa, Anton Lokhmotov, Dejan Miskovic, Yuechao Pan, Manu Prasad Manmathan, Liz Raymond, Tom St. John, Arjun Suresh, Rowan Taubitz, Sean Zhan, Scott Wasson, David Kanter, Vijay Janapa Reddi
2025	J	`jnl`	Machine Learning Fleet Efficiency: Analyzing and Optimizing Large-Scale Google TPU Systems with ML Productivity Goodput. CoRR Arissa Wongpanich, Tayo Oguntebi, Jose Baiocchi Paredes, Yu Emma Wang, Phitchaya Mangpo Phothilimthana, Ritwika Mitra, Zongwei Zhou, Naveen Kumar, Vijay Janapa Reddi
2025	J	`jnl`	Materiality and risk in the age of pervasive AI sensors. Nat. Mac. Intell. Mona Sloane, Emanuel Moss, Susan Kennedy, Matthew Stewart, Pete Warden, Brian Plancher, Vijay Janapa Reddi
2025	J	`jnl`	Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators. CoRR Jason Yik, Walter Gallego Gomez, Andrew Cheng, Benedetto Leto, Alessandro Pierro, Noah Pacik-Nelson, Korneel Van den Berghe, Vittorio Fra, Andreea Danielescu, Gianvito Urgese, Vijay Janapa Reddi
2025	J	`jnl`	Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping. CoRR Srivatsan Krishnan, Jason Jabbour, Dan Zhang, Natasha Jaques, Aleksandra Faust, Shayegan Omidshafiei, Vijay Janapa Reddi
2025	—	`conf`	OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems. ASPLOS (2) Peiqing Chen, Minghao Li, Zishen Wan, Yu-Shun Hsiao, Minlan Yu, Vijay Janapa Reddi, Zaoxing Liu
2025	J	`jnl`	QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture. CoRR Shvetank Prakash, Andrew Cheng, Arya Tschand, Mark Mazumder, Varun Gohil, Jeffrey Jian Ma, Jason Yik, Zishen Wan, Jessica Quaye, Elisavet Lydia Alvanaki, Avinash Kumar, Chandrashis Mazumdar, Tuhin Khare, Alexander Ingare, Ikechukwu Uchendu, Radhika Ghosal, Abhishek Tyagi, Chenyu Wang, Andrea Mattia Garavagno, Sarah Gu, Alice Guo, Grace Hur, Luca P. Carloni, Tushar Krishna, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi
2025	J	`jnl`	QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture. IEEE Comput. Archit. Lett. Shvetank Prakash, Andrew Cheng, Jason Yik, Arya Tschand, Radhika Ghosal, Ikechukwu Uchendu, Jessica Quaye, Jeffrey Jian Ma, Shreyas Grampurohit, Sofia Giannuzzi, Arnav Balyan, Fin Amin, Aadya Pipersenia, Yash Choudhary, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi
2025	J	`jnl`	QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture. CoRR Shvetank Prakash, Andrew Cheng, Jason Yik, Arya Tschand, Radhika Ghosal, Ikechukwu Uchendu, Jessica Quaye, Jeffrey Jian Ma, Shreyas Grampurohit, Sofia Giannuzzi, Arnav Balyan, Fin Amin, Aadya Pipersenia, Yash Choudhary, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi
2025	—	`conf`	ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. ASPLOS (2) Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi
2025	J	`jnl`	Robust Methods for Deep-Learning Training. IEEE Des. Test Yanjing Li, Vijay Janapa Reddi
2025	J	`jnl`	SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads? CoRR Jeffrey Jian Ma, Milad Hashemi, Amir Yazdanbakhsh, Kevin Swersky, Ofir Press, Enhui Li, Vijay Janapa Reddi, Parthasarathy Ranganathan
2025	J	`jnl`	Slm-mux: Orchestrating small language models for reasoning. CoRR Chenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du
2025	J	`jnl`	SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility. CoRR Jason Jabbour, Kai Kleinbard, Olivia Miller, Robert Haussman, Vijay Janapa Reddi
2025	J	`jnl`	SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization. CoRR Arya Tschand, Muhammad A. Awad, Ryan Swann, Kesavan Ramakrishnan, Jeffrey Jian Ma, Keith Lowery, Ganesh Dasika, Vijay Janapa Reddi
2024	—	`conf`	Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT 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
2024	J	`jnl`	Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. CoRR 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
2024	J	`jnl`	Bendable non-silicon RISC-V microprocessor. Nat. Emre Ozer, Jedrzej Kufel, Shvetank Prakash, Alireza Raisiardali, Olof Kindgren, Ronald Wong, Nelson Ng, Damien Jausseran, Feras Alkhalil, David Kong, Gage Hills, Richard Price, Vijay Janapa Reddi
2024	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. J. Data-centric Mach. Learn. Res. 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 Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2024	J	`jnl`	FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting. CoRR Jeffrey Jian Ma, Alan Tu, Yiling Chen, Vijay Janapa Reddi
2024	—	`conf`	GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) 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
2024	A	`conf`	Generative AI Agents in Autonomous Machines: A Safety Perspective. ICCAD Jason Jabbour, Vijay Janapa Reddi
2024	J	`jnl`	Generative AI Agents in Autonomous Machines: A Safety Perspective. CoRR Jason Jabbour, Vijay Janapa Reddi
2024	—	`conf`	Grand Challenge on Neural Decoding for Motor Control of non-Human Primates. BioCAS Biyan Zhou, Pao-Sheng Vincent Sun, Jason Yik, Charlotte Frenkel, Vijay Janapa Reddi, Arindam Basu
2024	A*	`conf`	Invited: The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. DAC Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
2024	J	`jnl`	MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI. CoRR Arya Tschand, Arun Tejusve Raghunath Rajan, Sachin Idgunji, Anirban Ghosh, Jeremy Holleman, Csaba Király, Pawan Ambalkar, Ritika Borkar, Ramesh Chukka, Trevor Cockrell, Oliver Curtis, Grigori Fursin, Miro Hodak, Hiwot Kassa, Anton Lokhmotov, Dejan Miskovic, Yuechao Pan, Manu Prasad Manmathan, Liz Raymond, Tom St. John, Arjun Suresh, Rowan Taubitz, Sean Zhan, Scott Wasson, David Kanter, Vijay Janapa Reddi
2024	Misc	`conf`	MLSysBook.AI: Principles and Practices of Machine Learning Systems Engineering. CODES+ISSS Vijay Janapa Reddi
2024	J	`jnl`	Materiality and Risk in the Age of Pervasive AI Sensors. CoRR Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi
2024	—	`conf`	MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury
2024	A*	`conf`	RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA 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
2024	J	`jnl`	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. Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2024	J	`jnl`	Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference. Trans. Mach. Learn. Res. Max Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks
2024	J	`jnl`	The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. CoRR Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
2024	J	`jnl`	TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems. CoRR Jacob Huckelberry, Yuke Zhang, Allison Sansone, James Mickens, Peter A. Beerel, Vijay Janapa Reddi
2024	—	`conf`	TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia 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 Oluwatobi 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
2024	J	`jnl`	Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection. CoRR Colby R. Banbury, Emil J. Njor, Matthew Stewart, Pete Warden, Manjunath Kudlur, Nat Jeffries, Xenofon Fafoutis, Vijay Janapa Reddi
2023	J	`jnl`	Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. CoRR 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
2023	J	`jnl`	An Electro-Photonic System for Accelerating Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar
2023	A*	`conf`	ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. ISCA Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
2023	J	`jnl`	ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. CoRR Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
2023	A*	`conf`	Architecture 2.0: Challenges and Opportunities. DAC Vijay Janapa Reddi, Amir Yazdanbakhsh
2023	A*	`conf`	BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023	J	`jnl`	BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023	B	`conf`	CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. ISPASS Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
2023	A	`conf`	CFU Playground: Want a faster ML processor? Do it yourself! DATE Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
2023	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR 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 M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	A*	`conf`	DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 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
2023	J	`jnl`	Datasheets for Machine Learning Sensors. CoRR Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi
2023	J	`jnl`	Deep Reinforcement Learning for Cyber Security. IEEE Trans. Neural Networks Learn. Syst. Thanh Thi Nguyen, Vijay Janapa Reddi
2023	—	`conf`	Edge Impulse: An MLOps Platform for Tiny Machine Learning. MLSys 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
2023	J	`jnl`	FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity. ACM Trans. Embed. Comput. Syst. Behzad Boroujerdian, Ying Jing, Devashree Tripathy, Amit Kumar, Lavanya Subramanian, Luke Yen, Vincent Lee, Vivek Venkatesan, Amit Jindal, Robert Shearer, Vijay Janapa Reddi
2023	J	`jnl`	Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 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 A. 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 F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. 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
2023	J	`jnl`	GPU-based Private Information Retrieval for On-Device Machine Learning Inference. CoRR 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
2023	J	`jnl`	Is TinyML Sustainable? Commun. ACM Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
2023	J	`jnl`	Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. CoRR Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
2023	J	`jnl`	Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators. CoRR Cansu Demirkiran, Rashmi Agrawal, Vijay Janapa Reddi, Darius Bunandar, Ajay Joshi
2023	A	`conf`	MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. DATE Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2023	J	`jnl`	Machine Learning Sensors. Commun. ACM Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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 Michael 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
2023	A*	`conf`	RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots. ISCA Sabrina M. Neuman, Radhika Ghosal, Thomas Bourgeat, Brian Plancher, Vijay Janapa Reddi
2023	J	`jnl`	RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR 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
2023	—	`conf`	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. ICCS (2) Thanh Thi Nguyen, Minh Cuong Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi
2023	J	`jnl`	Special Issue on TinyML. IEEE Micro Vijay Janapa Reddi, Boris Murmann
2023	A	`conf`	VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. IROS Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
2023	J	`jnl`	VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. CoRR Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
2023	—	`conf`	XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys 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
2022	J	`jnl`	A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms. IEEE Des. Test 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
2022	A*	`conf`	Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. MICRO Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2022	J	`jnl`	CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. CoRR Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
2022	J	`jnl`	DataPerf: Benchmarks for Data-Centric AI Development. CoRR 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
2022	J	`jnl`	Edge Impulse: An MLOps Platform for Tiny Machine Learning. CoRR Shawn Hymel, Colby R. Banbury, Daniel Situnayake, Alexander Elium, Carl Ward, Matthew Kelcey, Mathijs Baaijens, Mateusz Majchrzycki, Jenny Plunkett, David Tischler, Alessandro Grande, Louis Moreau, Dmitry Maslov, Arthur Beavis, Jan Jongboom, Vijay Janapa Reddi
2022	J	`jnl`	FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration. CoRR Behzad Boroujerdian, Ying Jing, Amit Kumar, Lavanya Subramanian, Luke Yen, Vincent Lee, Vivek Venkatesan, Amit Jindal, Robert Shearer, Vijay Janapa Reddi
2022	A	`conf`	FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. DATE Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury
2022	J	`jnl`	FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. CoRR Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury
2022	J	`jnl`	FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning. CoRR Javier M. Duarte, Nhan Tran, Benjamin Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, Vijay Janapa Reddi
2022	A*	`conf`	GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. ICRA Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi
2022	—	`conf`	MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. MLSys 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
2022	J	`jnl`	Machine Learning Sensors. CoRR Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi
2022	J	`jnl`	Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. CoRR Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust
2022	A	`conf`	OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge. DATE Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2022	J	`jnl`	OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge. CoRR Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2022	J	`jnl`	QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Trans. Mach. Learn. Res. Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi
2022	A	`conf`	RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. IROS Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
2022	J	`jnl`	RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. CoRR Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
2022	—	`conf`	Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. AICAS Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
2022	J	`jnl`	Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. CoRR Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
2022	B	`conf`	Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. ISPASS Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi
2022	J	`jnl`	Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. CoRR Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi
2022	J	`jnl`	Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference. CoRR Maximilian Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks
2022	A*	`conf`	The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World. NeurIPS William A. Gaviria Rojas, Sudnya Frederick Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi, Cody Coleman
2022	—	`conf`	Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS 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
2022	J	`jnl`	Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR 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
2022	—	`conf`	TinyMLedu: The Tiny Machine Learning Open Education Initiative. SIGCSE (2) Brian Plancher, Vijay Janapa Reddi
2022	J	`jnl`	XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR 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
2022	J	`jnl`	Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles. CoRR Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michal Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Stephen W. Keckler
2022	A*	`conf`	Zhuyi: perception processing rate estimation for safety in autonomous vehicles. DAC Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michal Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Stephen W. Keckler
2021	B	`conf`	AI Tax in Mobile SoCs: End-to-end Performance Analysis of Machine Learning in Smartphones. ISPASS Michael Buch, Zahra Azad, Ajay Joshi, Vijay Janapa Reddi
2021	J	`jnl`	Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA. IEEE Robotics Autom. Lett. Brian Plancher, Sabrina M. Neuman, Thomas Bourgeat, Scott Kuindersma, Srinivas Devadas, Vijay Janapa Reddi
2021	J	`jnl`	Accelerator-level parallelism. Commun. ACM Mark D. Hill, Vijay Janapa Reddi
2021	J	`jnl`	Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation. Mach. Learn. Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi
2021	J	`jnl`	An Electro-Photonic System for Accelerating Deep Neural Networks. CoRR Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar
2021	A*	`conf`	Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. DAC Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury
2021	J	`jnl`	Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. CoRR Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury
2021	J	`jnl`	AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots. CoRR Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi
2021	J	`jnl`	Data Engineering for Everyone. CoRR Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter
2021	J	`jnl`	Erratum to "Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
2021	A	`conf`	Few-Shot Keyword Spotting in Any Language. Interspeech Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi
2021	J	`jnl`	Few-Shot Keyword Spotting in Any Language. CoRR Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi
2021	J	`jnl`	GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. CoRR Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi
2021	A*	`conf`	Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. ICML Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher
2021	J	`jnl`	Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. CoRR Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher
2021	J	`jnl`	MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. CoRR Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2021	—	`conf`	MLPerf Tiny Benchmark. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	MLPerf Tiny Benchmark. CoRR 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
2021	J	`jnl`	Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2021	J	`jnl`	MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson
2021	—	`conf`	MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. MLSys Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
2021	—	`conf`	Multilingual Spoken Words Corpus. NeurIPS Datasets and Benchmarks 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
2021	B	`conf`	Precision Batching: Bitserial Decomposition for Efficient Neural Network Inference on GPUs. PACT Maximilian Lam, Zachary Yedidia, Colby R. Banbury, Vijay Janapa Reddi
2021	J	`jnl`	Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
2021	J	`jnl`	RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads. CoRR James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko
2021	—	`conf`	RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads. MLSys James Gleeson, Moshe Gabel, Gennady Pekhimenko, Eyal de Lara, Srivatsan Krishnan, Vijay Janapa Reddi
2021	A*	`conf`	RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. DAC Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi
2021	J	`jnl`	RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. CoRR Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi
2021	A*	`conf`	Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology. ASPLOS Sabrina M. Neuman, Brian Plancher, Thomas Bourgeat, Thierry Tambe, Srinivas Devadas, Vijay Janapa Reddi
2021	A	`conf`	Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments. IROS Bardienus Pieter Duisterhof, Shushuai Li, Javier Burgués, Vijay Janapa Reddi, Guido C. H. E. de Croon
2021	J	`jnl`	Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments. CoRR Bardienus Pieter Duisterhof, Shushuai Li, Javier Burgués, Vijay Janapa Reddi, Guido C. H. E. de Croon
2021	J	`jnl`	System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System. ACM Trans. Archit. Code Optim. An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang
2021	—	`conf`	TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems. MLSys 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
2021	—	`conf`	The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. NeurIPS Datasets and Benchmarks Daniel Galvez, Greg Diamos, Juan Torres, Keith Achorn, Juan Felipe Cerón, Anjali Gopi, David Kanter, Max Lam, Mark Mazumder, Vijay Janapa Reddi
2021	J	`jnl`	The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. CoRR Daniel Galvez, Greg Diamos, Juan Ciro, Juan Felipe Cerón, Keith Achorn, Anjali Gopi, David Kanter, Maximilian Lam, Mark Mazumder, Vijay Janapa Reddi
2021	J	`jnl`	The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. ACM Trans. Comput. Syst. Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi
2021	J	`jnl`	The Vision Behind MLPerf: Understanding AI Inference Performance. IEEE Micro Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu
2021	A*	`conf`	Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter. ICRA Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi
2021	A*	`conf`	TinyML: Current Progress, Research Challenges, and Future Roadmap. DAC Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddi, Boris Murmann
2021	J	`jnl`	Widening Access to Applied Machine Learning with TinyML. CoRR Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby R. 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
2020	J	`jnl`	AI Tax: The Hidden Cost of AI Data Center Applications. CoRR 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
2020	A*	`conf`	Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	A*	`conf`	Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems. HPCA Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi
2020	J	`jnl`	Benchmarking TinyML Systems: Challenges and Direction. CoRR Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav
2020	J	`jnl`	Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins. CoRR George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Vijay Janapa Reddi, Jingwen Leng, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman
2020	A*	`conf`	MLPerf Inference Benchmark. ISCA Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2020	J	`jnl`	MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. CoRR 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, Michael Buch, Cindy Trinh, Thomas Atta-Fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika
2020	—	`conf`	MLPerf Training Benchmark. MLSys Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
2020	J	`jnl`	MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling
2020	J	`jnl`	MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. CoRR Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
2020	A*	`conf`	Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers. HPCA 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
2020	J	`jnl`	Quantized Neural Network Inference with Precision Batching. CoRR Maximilian Lam, Zachary Yedidia, Colby R. Banbury, Vijay Janapa Reddi
2020	J	`jnl`	TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems. CoRR Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, Rocky Rhodes, Tiezhen Wang, Pete Warden
2020	J	`jnl`	The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. IEEE Comput. Archit. Lett. Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2020	J	`jnl`	Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang
2019	J	`jnl`	AI Tax: The Hidden Cost of AI Data Center Applications. ACM Trans. Comput. Syst. 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
2019	J	`jnl`	Accelerator-level Parallelism. CoRR Mark D. Hill, Vijay Janapa Reddi
2019	J	`jnl`	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2019	J	`jnl`	Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots. CoRR Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi
2019	J	`jnl`	Asymmetric Resilience for Accelerator-Rich Systems. IEEE Comput. Archit. Lett. Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi
2019	J	`jnl`	Deep Reinforcement Learning for Cyber Security. CoRR Thanh Thi Nguyen, Vijay Janapa Reddi
2019	A*	`conf`	Fine-Tuning the Active Timing Margin (ATM) Control Loop for Maximizing Multi-core Efficiency on an IBM POWER Server. HPCA Yazhou Zu, Daniel Richins, Charles Lefurgy, Vijay Janapa Reddi
2019	J	`jnl`	GLADAS: Gesture Learning for Advanced Driver Assistance Systems. CoRR Ethan Shaotran, Jonathan J. Cruz, Vijay Janapa Reddi
2019	A*	`conf`	Gables: A Roofline Model for Mobile SoCs. HPCA Mark D. Hill, Vijay Janapa Reddi
2019	J	`jnl`	Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller. CoRR Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi
2019	J	`jnl`	MAVBench: Micro Aerial Vehicle Benchmarking. CoRR Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Marcelino Almeida, Kayvan Mansoorshahi, Aleksandra Faust, Vijay Janapa Reddi
2019	J	`jnl`	MLPerf Inference Benchmark. CoRR Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2019	J	`jnl`	MLPerf Training Benchmark. CoRR Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
2019	C	`conf`	Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies. IOLTS Dimitris Gizopoulos, George Papadimitriou, Athanasios Chatzidimitriou, Vijay Janapa Reddi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Jingwen Leng
2019	B	`conf`	One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-Off in Machine Learning Cloud Service APIs via Tolerance Tiers. ISPASS Matthew Halpern, Behzad Boroujerdian, Todd W. Mummert, Evelyn Duesterwald, Vijay Janapa Reddi
2019	J	`jnl`	One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers. CoRR Matthew Halpern, Behzad Boroujerdian, Todd W. Mummert, Evelyn Duesterwald, Vijay Janapa Reddi
2019	J	`jnl`	Quantized Reinforcement Learning (QUARL). CoRR Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi
2019	B	`conf`	Tail latency in node.js: energy efficient turbo boosting for long latency requests in event-driven web services. VEE Wenzhi Cui, Daniel Richins, Yuhao Zhu, Vijay Janapa Reddi
2019	J	`jnl`	The Role of Compute in Autonomous Aerial Vehicles. CoRR Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi
2018	A*	`conf`	Amdahl's Law in Big Data Analytics: Alive and Kicking in TPCx-BB (BigBench). HPCA Daniel Richins, Tahrina Ahmed, Russell M. Clapp, Vijay Janapa Reddi
2018	J	`jnl`	Domain Specific Approximation for Object Detection. CoRR Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi
2018	J	`jnl`	Domain-Specific Approximation for Object Detection. IEEE Micro Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi
2018	A*	`conf`	Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators. DAC An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang
2018	A*	`conf`	MAVBench: Micro Aerial Vehicle Benchmarking. MICRO Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi
2018	J	`jnl`	Two Billion Devices and Counting. IEEE Micro Vijay Janapa Reddi, Hongil Yoon, Allan Knies
2018	A*	`conf`	Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs. MICRO An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang
2017	J	`jnl`	Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads. IEEE Micro Yuhao Zhu, Vijay Janapa Reddi, Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks
2017	J	`jnl`	Flying IoT: Toward Low-Power Vision in the Sky. IEEE Micro Hasan Genc, Yazhou Zu, Ting-Wu Chin, Matthew Halpern, Vijay Janapa Reddi
2017	A*	`conf`	Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. DAC An Zou, Jingwen Leng, Yazhou Zu, Tao Tong, Vijay Janapa Reddi, David M. Brooks, Gu-Yeon Wei, Xuan Zhang
2017	J	`jnl`	Optimizing General-Purpose CPUs for Energy-Efficient Mobile Web Computing. ACM Trans. Comput. Syst. Yuhao Zhu, Vijay Janapa Reddi
2017	A	`ed.`	Proceedings of the 2017 International Symposium on Code Generation and Optimization, CGO 2017, Austin, TX, USA, February 4-8, 2017 CGO Vijay Janapa Reddi, Aaron Smith, Lingjia Tang
2017	J	`jnl`	Research for practice: web security and mobile web computing. Commun. ACM Peter Bailis, Jean Yang, Vijay Janapa Reddi, Yuhao Zhu
2017	—	`conf`	Storage on Your SmartPhone Uses More Energy Than You Think. HotStorage Jayashree Mohan, Dhathri Purohith, Matthew Halpern, Vijay Chidambaram, Vijay Janapa Reddi
2017	J	`jnl`	Ti-States: Power Management in Active Timing Margin Processors. IEEE Micro Yazhou Zu, Wei Huang, Indrani Paul, Vijay Janapa Reddi
2016	A	`conf`	Barrier-Aware Warp Scheduling for Throughput Processors. ICS Yuxi Liu, Zhibin Yu, Lieven Eeckhout, Vijay Janapa Reddi, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Cheng-Zhong Xu
2016	J	`jnl`	EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses. CoRR Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari
2016	A*	`conf`	GreenWeb: language extensions for energy-efficient mobile web computing. PLDI Yuhao Zhu, Vijay Janapa Reddi
2016	A*	`conf`	Mobile CPU's rise to power: Quantifying the impact of generational mobile CPU design trends on performance, energy, and user satisfaction. HPCA Matthew Halpern, Yuhao Zhu, Vijay Janapa Reddi
2016	J	`jnl`	On the Internet of Things. IEEE Micro Vijay Janapa Reddi, Hyesoon Kim
2016	A*	`conf`	Quantifying and improving the efficiency of hardware-based mobile malware detectors. MICRO Mikhail Kazdagli, Vijay Janapa Reddi, Mohit Tiwari
2016	J	`jnl`	Research for Practice: Web Security and Mobile Web Computing. ACM Queue Jean Yang, Vijay Janapa Reddi, Yuhao Zhu, Peter Bailis
2016	A	`conf`	Simulation and Analysis Engine for Scale-Out Workloads. ICS Nadav Chachmon, Daniel Richins, Robert S. Cohn, Magnus Christensson, Wenzhi Cui, Vijay Janapa Reddi
2016	A*	`conf`	Ti-states: Processor power management in the temperature inversion region. MICRO Yazhou Zu, Wei Huang, Indrani Paul, Vijay Janapa Reddi
2015	A*	`conf`	Adaptive guardband scheduling to improve system-level efficiency of the POWER7+. MICRO Yazhou Zu, Charles R. Lefurgy, Jingwen Leng, Matthew Halpern, Michael S. Floyd, Vijay Janapa Reddi
2015	A*	`conf`	Event-based scheduling for energy-efficient QoS (eQoS) in mobile Web applications. HPCA Yuhao Zhu, Matthew Halpern, Vijay Janapa Reddi
2015	A*	`conf`	GPU voltage noise: Characterization and hierarchical smoothing of spatial and temporal voltage noise interference in GPU architectures. HPCA Jingwen Leng, Yazhou Zu, Vijay Janapa Reddi
2015	A*	`conf`	Microarchitectural implications of event-driven server-side web applications. MICRO Yuhao Zhu, Daniel Richins, Matthew Halpern, Vijay Janapa Reddi
2015	B	`conf`	Mosaic: cross-platform user-interaction record and replay for the fragmented android ecosystem. ISPASS Matthew Halpern, Yuhao Zhu, Ramesh Peri, Vijay Janapa Reddi
2015	A*	`conf`	Safe limits on voltage reduction efficiency in GPUs: a direct measurement approach. MICRO Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi
2015	J	`jnl`	The Role of the CPU in Energy-Efficient Mobile Web Browsing. IEEE Micro Yuhao Zhu, Matthew Halpern, Vijay Janapa Reddi
2014	J	`jnl`	Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing. IEEE Comput. Archit. Lett. Yuhao Zhu, Aditya Srikanth, Jingwen Leng, Vijay Janapa Reddi
2014	A	`conf`	GPUVolt: modeling and characterizing voltage noise in GPU architectures. ISLPED Jingwen Leng, Yazhou Zu, Minsoo Rhu, Meeta Sharma Gupta, Vijay Janapa Reddi
2014	—	`conf`	Morpheus: benchmarking computational diversity in mobile malware. HASP@ISCA Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari
2014	A*	`conf`	WebCore: Architectural support for mobile Web browsing. ISCA Yuhao Zhu, Vijay Janapa Reddi
2013	A*	`conf`	GPUWattch: enabling energy optimizations in GPGPUs. ISCA Jingwen Leng, Tayler H. Hetherington, Ahmed ElTantawy, Syed Zohaib Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi
2013	A*	`conf`	High-performance and energy-efficient mobile web browsing on big/little systems. HPCA Yuhao Zhu, Vijay Janapa Reddi
2013	J	`jnl`	Reliability-Aware Microarchitecture Design. IEEE Micro Vijay Janapa Reddi
2013	—	`book`	Resilient Architecture Design for Voltage Variation Vijay Janapa Reddi, Meeta Sharma Gupta
2012	A	`conf`	HELIX: automatic parallelization of irregular programs for chip multiprocessing. CGO Simone Campanoni, Timothy M. Jones, Glenn H. Holloway, Vijay Janapa Reddi, Gu-Yeon Wei, David M. Brooks
2012	—	`conf`	Hardware and software co-design for robust and resilient execution. CTS Vijay Janapa Reddi
2012	—	`conf`	Robust and resilient designs from the bottom-up: Technology, CAD, circuit, and system issues. ASP-DAC Vijay Janapa Reddi, David Z. Pan, Sani R. Nassif, Keith A. Bowman
2011	A*	`conf`	Dimetrodon: processor-level preventive thermal management via idle cycle injection. DAC Peter Bailis, Vijay Janapa Reddi, Sanjay Gandhi, David M. Brooks, Margo I. Seltzer
2011	J	`jnl`	Mobile processors for energy-efficient web search. ACM Trans. Comput. Syst. Vijay Janapa Reddi, Benjamin C. Lee, Trishul M. Chilimbi, Kushagra Vaid
2011	J	`jnl`	Resilient Architectures via Collaborative Design: Maximizing Commodity Processor Performance in the Presence of Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Vijay Janapa Reddi, David M. Brooks
2011	J	`jnl`	Voltage Noise in Production Processors. IEEE Micro Vijay Janapa Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael D. Smith, Gu-Yeon Wei, David M. Brooks
2010	J	`jnl`	Eliminating voltage emergencies via software-guided code transformations. ACM Trans. Archit. Code Optim. Vijay Janapa Reddi, Simone Campanoni, Meeta Sharma Gupta, Michael D. Smith, Gu-Yeon Wei, David M. Brooks, Kim M. Hazelwood
2010	J	`jnl`	Predicting Voltage Droops Using Recurring Program and Microarchitectural Event Activity. IEEE Micro Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. Holloway, Michael D. Smith, Gu-Yeon Wei, David M. Brooks
2010	A*	`conf`	Voltage Smoothing: Characterizing and Mitigating Voltage Noise in Production Processors via Software-Guided Thread Scheduling. MICRO Vijay Janapa Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael D. Smith, Gu-Yeon Wei, David M. Brooks
2010	A*	`conf`	Web search using mobile cores: quantifying and mitigating the price of efficiency. ISCA Vijay Janapa Reddi, Benjamin C. Lee, Trishul M. Chilimbi, Kushagra Vaid
2009	A	`conf`	An event-guided approach to reducing voltage noise in processors. DATE Meeta Sharma Gupta, Vijay Janapa Reddi, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks
2009	J	`jnl`	PLR: A Software Approach to Transient Fault Tolerance for Multicore Architectures. IEEE Trans. Dependable Secur. Comput. Alex Shye, Joseph Blomstedt, Tipp Moseley, Vijay Janapa Reddi, Daniel A. Connors
2009	A*	`conf`	Software-assisted hardware reliability: abstracting circuit-level challenges to the software stack. DAC Vijay Janapa Reddi, Simone Campanoni, Meeta Sharma Gupta, Michael D. Smith, Gu-Yeon Wei, David M. Brooks
2009	A*	`conf`	Voltage emergency prediction: Using signatures to reduce operating margins. HPCA Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. Holloway, Gu-Yeon Wei, Michael D. Smith, David M. Brooks
2007	A	`conf`	Persistent Code Caching: Exploiting Code Reuse Across Executions and Applications. CGO Vijay Janapa Reddi, Dan Connors, Robert Cohn, Michael D. Smith
2007	A	`conf`	Shadow Profiling: Hiding Instrumentation Costs with Parallelism. CGO Tipp Moseley, Alex Shye, Vijay Janapa Reddi, Dirk Grunwald, Ramesh Peri
2007	A	`conf`	Using Process-Level Redundancy to Exploit Multiple Cores for Transient Fault Tolerance. DSN Alex Shye, Tipp Moseley, Vijay Janapa Reddi, Joseph Blomstedt, Daniel A. Connors
2006	J	`jnl`	Dynamic-Compiler-Driven Control for Microprocessor Energy and Performance. IEEE Micro Qiang Wu, Margaret Martonosi, Douglas W. Clark, Vijay Janapa Reddi, Dan Connors, Youfeng Wu, Jin Lee, David M. Brooks
2005	A*	`conf`	A Dynamic Compilation Framework for Controlling Microprocessor Energy and Performance. MICRO Qiang Wu, Margaret Martonosi, Douglas W. Clark, Vijay Janapa Reddi, Dan Connors, Youfeng Wu, Jin Lee, David M. Brooks
2005	—	`conf`	Analysis of path profiling information generated with performance monitoring hardware. Interaction between Compilers and Computer Architectures Alex Shye, Matthew Iyer, Tipp Moseley, David Hodgdon, Dan Fay, Vijay Janapa Reddi, Daniel A. Connors
2005	—	`conf`	Code coverage testing using hardware performance monitoring support. AADEBUG Alex Shye, Matthew Iyer, Vijay Janapa Reddi, Daniel A. Connors
2005	—	`conf`	Dynamic run-time architecture techniques for enabling continuous optimization. Conf. Computing Frontiers Tipp Moseley, Alex Shye, Vijay Janapa Reddi, Matthew Iyer, Dan Fay, David Hodgdon, Joshua L. Kihm, Alex Settle, Dirk Grunwald, Daniel A. Connors
2005	J	`jnl`	Persistence in dynamic code transformation systems. SIGARCH Comput. Archit. News Vijay Janapa Reddi, Dan Connors, Robert S. Cohn
2005	A*	`conf`	Pin: building customized program analysis tools with dynamic instrumentation. PLDI Chi-Keung Luk, Robert S. Cohn, Robert Muth, Harish Patil, Artur Klauser, P. Geoffrey Lowney, Steven Wallace, Vijay Janapa Reddi, Kim M. Hazelwood
2005	—	`conf`	Topology-Based Hypercube Structures for Global Communication in Heterogeneous Networks. Euro-Par Silvia M. Figueira, Vijay Janapa Reddi
2004	Misc	`conf`	PIN: a binary instrumentation tool for computer architecture research and education. WCAE Vijay Janapa Reddi, Alex Settle, Daniel A. Connors, Robert S. Cohn