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ORCIDVijay Janapa Reddi
Person information
- affiliation: Harvard University, USA
- affiliation (former): The University of Texas at Austin, TX, USA
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2020 – today
- 2024
[j44]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:
Bendable non-silicon RISC-V microprocessor. Nat. 634(8033): 341-346 (2024)- [j43]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): 1037-1050 (2024) - [c97]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: 508-515 - [c96]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: 197-214 - [c95]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: 746-762 - [c94]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: 388-406 - [c93]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA 2024: 8288-8297 - [i69]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 abs/2402.11183 (2024) - [i68]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 abs/2403.12075 (2024) - [i67]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 abs/2405.00892 (2024) - [i66]Jeffrey Ma, Alan Tu, Yiling Chen, Vijay Janapa Reddi:
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting. CoRR abs/2406.02877 (2024) - [i65]Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. CoRR abs/2407.17311 (2024) - 2023
- [j42]Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi:
Machine Learning Sensors. Commun. ACM 66(11): 25-28 (2023) - [j41]Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi:
Is TinyML Sustainable? Commun. ACM 66(11): 68-77 (2023) - [j40]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): 30:1-30:31 (2023) - [j39]Vijay Janapa Reddi, Boris Murmann:
Special Issue on TinyML. IEEE Micro 43(6): 7-10 (2023) - [j38]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:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [j37]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): 31:1-31:35 (2023) - [j36]Thanh Thi Nguyen, Vijay Janapa Reddi:
Deep Reinforcement Learning for Cyber Security. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3779-3795 (2023) - [c92]Vijay Janapa Reddi, Amir Yazdanbakhsh:
Architecture 2.0: Challenges and Opportunities. DAC 2023: 1-2 - [c91]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: 1-6 - [c90]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: 1-6 - [c89]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: 1-2 - [c88]Thanh Thi Nguyen, Minh Cuong 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: 298-305 - [c87]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: 6304-6309 - [c86]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: 14:1-14:16 - [c85]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: 69:1-69:13 - [c84]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: 157-167 - [c83]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 - [c82]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 - [c81]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 - [i64]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. CoRR abs/2301.10904 (2023) - [i63]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 abs/2301.11899 (2023) - [i62]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 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:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i61]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 abs/2305.14384 (2023) - [i60]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 abs/2306.08848 (2023) - [i59]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 abs/2306.08888 (2023) - [i58]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 abs/2306.09481 (2023) - [i57]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 abs/2307.10041 (2023) - [i56]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Alejandra Martínez-Fariña, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR abs/2309.09212 (2023) - [i55]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 abs/2310.07854 (2023) - [i54]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 D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - 2022
- [j35]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): 91-116 (2022) - [j34]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) - [c80]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: 291-295 - [c79]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: 296-299 - [c78]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: 289-294 - [c77]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: 430-435 - [c76]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: 909-914 - [c75]Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi:
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. ICRA 2022: 6253-6260 - [c74]Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. IROS 2022: 9692-9699 - [c73]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: 162-174 - [c72]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: 300-317 - [c71]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 - [c70]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 - [c69]Brian Plancher, Vijay Janapa Reddi:
TinyMLedu: The Tiny Machine Learning Open Education Initiative. SIGCSE (2) 2022: 1159 - [i53]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 abs/2201.01863 (2022) - [i52]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 abs/2201.05232 (2022) - [i51]Maximilian Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks:
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference. CoRR abs/2203.02833 (2022) - [i50]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 abs/2203.07276 (2022) - [i49]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 abs/2204.10898 (2022) - [i48]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 abs/2205.03325 (2022) - [i47]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 abs/2205.03347 (2022) - [i46]Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. CoRR abs/2205.03929 (2022) - [i45]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 abs/2205.05748 (2022) - [i44]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 abs/2205.07149 (2022) - [i43]Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi:
Machine Learning Sensors. CoRR abs/2206.03266 (2022) - [i42]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 abs/2207.07958 (2022) - [i41]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 abs/2207.10062 (2022) - [i40]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 abs/2211.08675 (2022) - [i39]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 abs/2211.16385 (2022) - [i38]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:
Edge Impulse: An MLOps Platform for Tiny Machine Learning. CoRR abs/2212.03332 (2022) - 2021
- [j33]Mark D. Hill, Vijay Janapa Reddi:
Accelerator-level parallelism. Commun. ACM 64(12): 36-38 (2021) - [j32]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): 10-18 (2021) - [j31]Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi:
Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation. Mach. Learn. 110(9): 2501-2540 (2021) - [j30]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): 2335-2342 (2021) - [j29]An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang:
System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System. ACM Trans. Archit. Code Optim. 18(4): 52:1-52:27 (2021) - [j28]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): 171-184 (2021) - [j27]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): 1272 (2021) - [j26]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(1-4): 3:1-3:44 (2021) - [c68]Maximilian Lam, Zachary Yedidia, Colby R. Banbury, Vijay Janapa Reddi:
Precision Batching: Bitserial Decomposition for Efficient Neural Network Inference on GPUs. PACT 2021: 129-141 - [c67]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: 674-686 - [c66]Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi:
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. DAC 2021: 829-834 - [c65]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: 841-846 - [c64]Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddi, Boris Murmann:
TinyML: Current Progress, Research Challenges, and Future Roadmap. DAC 2021: 1303-1306 - [c63]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: 5959-5968 - [c62]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: 7242-7248 - [c61]Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi:
Few-Shot Keyword Spotting in Any Language. Interspeech 2021: 4214-4218 - [c60]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: 9099-9106 - [c59]Michael Buch, Zahra Azad, Ajay Joshi, Vijay Janapa Reddi:
AI Tax in Mobile SoCs: End-to-end Performance Analysis of Machine Learning in Smartphones. ISPASS 2021: 96-106 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [i37]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR abs/2102.02988 (2021) - [i36]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 abs/2102.04285 (2021) - [i35]Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter:
Data Engineering for Everyone. CoRR abs/2102.11447 (2021) - [i34]Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi:
Few-Shot Keyword Spotting in Any Language. CoRR abs/2104.01454 (2021) - [i33]Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, 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. CoRR abs/2105.12882 (2021) - [i32]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:
Widening Access to Applied Machine Learning with TinyML. CoRR abs/2106.04008 (2021) - [i31]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 abs/2106.06089 (2021) - [i30]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 abs/2106.07597 (2021) - [i29]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 abs/2107.05490 (2021) - [i28]Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi:
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. CoRR abs/2108.13354 (2021) - [i27]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 abs/2109.01126 (2021) - [i26]Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi:
AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots. CoRR abs/2109.05683 (2021) - [i25]Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi:
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. CoRR abs/2109.06976 (2021) - [i24]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:
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021) - [i23]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 abs/2111.04957 (2021) - [i22]Daniel Galvez, Greg Diamos, Juan Ciro, Juan Felipe Cerón, Keith Achorn, Anjali Gopi, David Kanter, Maximilian Lam, Mark Mazumder, Vijay Janapa Reddi:
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. CoRR abs/2111.09344 (2021) - 2020
- [j25]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. IEEE Comput. Archit. Lett. 19(1): 38-42 (2020) - [j24]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:
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro 40(2): 8-16 (2020) - [j23]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang:
Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5142-5155 (2020) - [c52]Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC 2020: 1-6 - [c51]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi:
Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems. HPCA 2020: 44-57 - [c50]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:
Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers. HPCA 2020: 515-528 - [c49]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:
MLPerf Inference Benchmark. ISCA 2020: 446-459 - [c48]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:
MLPerf Training Benchmark. MLSys 2020 - [i21]Maximilian Lam, Zachary Yedidia, Colby R. Banbury, Vijay Janapa Reddi:
Quantized Neural Network Inference with Precision Batching. CoRR abs/2003.00822 (2020) - [i20]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:
Benchmarking TinyML Systems: Challenges and Direction. CoRR abs/2003.04821 (2020) - [i19]George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Vijay Janapa Reddi, Jingwen Leng, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman:
Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins. CoRR abs/2006.01049 (2020) - [i18]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. CoRR abs/2007.10571 (2020) - [i17]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:
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems. CoRR abs/2010.08678 (2020) - [i16]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. CoRR abs/2010.11267 (2020) - [i15]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:
MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. CoRR abs/2012.02328 (2020)
2010 – 2019
- 2019
- [j22]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi:
Asymmetric Resilience for Accelerator-Rich Systems. IEEE Comput. Archit. Lett. 18(1): 83-86 (2019) - [j21]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): 3:1-3:32 (2019) - [c47]Yazhou Zu, Daniel Richins, Charles Lefurgy, Vijay Janapa Reddi:
Fine-Tuning the Active Timing Margin (ATM) Control Loop for Maximizing Multi-core Efficiency on an IBM POWER Server. HPCA 2019: 106-119 - [c46]Mark D. Hill, Vijay Janapa Reddi:
Gables: A Roofline Model for Mobile SoCs. HPCA 2019: 317-330 - [c45]Dimitris Gizopoulos, George Papadimitriou, Athanasios Chatzidimitriou, Vijay Janapa Reddi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Jingwen Leng:
Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies. IOLTS 2019: 129-134 - [c44]Matthew Halpern, Behzad Boroujerdian, Todd W. Mummert, Evelyn Duesterwald, Vijay Janapa Reddi:
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-Off in Machine Learning Cloud Service APIs via Tolerance Tiers. ISPASS 2019: 34-47 - [c43]Wenzhi Cui, Daniel Richins, Yuhao Zhu, Vijay Janapa Reddi:
Tail latency in node.js: energy efficient turbo boosting for long latency requests in event-driven web services. VEE 2019: 152-164 - [i14]Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Marcelino Almeida, Kayvan Mansoorshahi, Aleksandra Faust, Vijay Janapa Reddi:
MAVBench: Micro Aerial Vehicle Benchmarking. CoRR abs/1905.06388 (2019) - [i13]Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi:
Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots. CoRR abs/1906.00421 (2019) - [i12]Thanh Thi Nguyen, Vijay Janapa Reddi:
Deep Reinforcement Learning for Cyber Security. CoRR abs/1906.05799 (2019) - [i11]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 Aerial Vehicles. CoRR abs/1906.10513 (2019) - [i10]Matthew Halpern, Behzad Boroujerdian, Todd W. Mummert, Evelyn Duesterwald, Vijay Janapa Reddi:
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers. CoRR abs/1906.11307 (2019) - [i9]Mark D. Hill, Vijay Janapa Reddi:
Accelerator-level Parallelism. CoRR abs/1907.02064 (2019) - [i8]Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller. CoRR abs/1909.11236 (2019) - [i7]Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR abs/1909.13271 (2019) - [i6]Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi:
Quantized Reinforcement Learning (QUARL). CoRR abs/1910.01055 (2019) - [i5]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:
MLPerf Training Benchmark. CoRR abs/1910.01500 (2019) - [i4]Ethan Shaotran, Jonathan J. Cruz, Vijay Janapa Reddi:
GLADAS: Gesture Learning for Advanced Driver Assistance Systems. CoRR abs/1910.04695 (2019) - [i3]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:
MLPerf Inference Benchmark. CoRR abs/1911.02549 (2019) - 2018
- [j20]Vijay Janapa Reddi, Hongil Yoon, Allan Knies:
Two Billion Devices and Counting. IEEE Micro 38(1): 6-21 (2018) - [j19]Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi:
Domain-Specific Approximation for Object Detection. IEEE Micro 38(1): 31-40 (2018) - [c42]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang:
Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators. DAC 2018: 43:1-43:6 - [c41]Daniel Richins, Tahrina Ahmed, Russell M. Clapp, Vijay Janapa Reddi:
Amdahl's Law in Big Data Analytics: Alive and Kicking in TPCx-BB (BigBench). HPCA 2018: 630-642 - [c40]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang:
Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs. MICRO 2018: 390-402 - [c39]Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi:
MAVBench: Micro Aerial Vehicle Benchmarking. MICRO 2018: 894-907 - [i2]Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi:
Domain Specific Approximation for Object Detection. CoRR abs/1810.02010 (2018) - 2017
- [j18]Peter Bailis, Jean Yang, Vijay Janapa Reddi, Yuhao Zhu:
Research for practice: web security and mobile web computing. Commun. ACM 60(1): 50-53 (2017) - [j17]Yuhao Zhu, Vijay Janapa Reddi, Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads. IEEE Micro 37(1): 15-21 (2017) - [j16]Yazhou Zu, Wei Huang, Indrani Paul, Vijay Janapa Reddi:
Ti-States: Power Management in Active Timing Margin Processors. IEEE Micro 37(3): 106-114 (2017) - [j15]Hasan Genc, Yazhou Zu, Ting-Wu Chin, Matthew Halpern, Vijay Janapa Reddi:
Flying IoT: Toward Low-Power Vision in the Sky. IEEE Micro 37(6): 40-51 (2017) - [j14]Yuhao Zhu, Vijay Janapa Reddi:
Optimizing General-Purpose CPUs for Energy-Efficient Mobile Web Computing. ACM Trans. Comput. Syst. 35(1): 1:1-1:31 (2017) - [c38]An Zou, Jingwen Leng, Yazhou Zu, Tao Tong, Vijay Janapa Reddi, David M. Brooks, Gu-Yeon Wei, Xuan Zhang:
Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. DAC 2017: 1:1-1:6 - [c37]Jayashree Mohan, Dhathri Purohith, Matthew Halpern, Vijay Chidambaram, Vijay Janapa Reddi:
Storage on Your SmartPhone Uses More Energy Than You Think. HotStorage 2017 - [e1]Vijay Janapa Reddi, Aaron Smith, Lingjia Tang:
Proceedings of the 2017 International Symposium on Code Generation and Optimization, CGO 2017, Austin, TX, USA, February 4-8, 2017. ACM 2017, ISBN 978-1-5090-4931-8 [contents] - 2016
- [j13]Vijay Janapa Reddi, Hyesoon Kim:
On the Internet of Things. IEEE Micro 36(6): 5-7 (2016) - [j12]Jean Yang, Vijay Janapa Reddi, Yuhao Zhu, Peter Bailis:
Research for Practice: Web Security and Mobile Web Computing. ACM Queue 14(4): 80 (2016) - [c36]Matthew Halpern, Yuhao Zhu, Vijay Janapa Reddi:
Mobile CPU's rise to power: Quantifying the impact of generational mobile CPU design trends on performance, energy, and user satisfaction. HPCA 2016: 64-76 - [c35]Nadav Chachmon, Daniel Richins, Robert S. Cohn, Magnus Christensson, Wenzhi Cui, Vijay Janapa Reddi:
Simulation and Analysis Engine for Scale-Out Workloads. ICS 2016: 22:1-22:13 - [c34]Yuxi Liu, Zhibin Yu, Lieven Eeckhout, Vijay Janapa Reddi, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Cheng-Zhong Xu:
Barrier-Aware Warp Scheduling for Throughput Processors. ICS 2016: 42:1-42:12 - [c33]Mikhail Kazdagli, Vijay Janapa Reddi, Mohit Tiwari:
Quantifying and improving the efficiency of hardware-based mobile malware detectors. MICRO 2016: 37:1-37:13 - [c32]Yazhou Zu, Wei Huang, Indrani Paul, Vijay Janapa Reddi:
Ti-states: Processor power management in the temperature inversion region. MICRO 2016: 55:1-55:13 - [c31]Yuhao Zhu, Vijay Janapa Reddi:
GreenWeb: language extensions for energy-efficient mobile web computing. PLDI 2016: 145-160 - [i1]Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari:
EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses. CoRR abs/1603.03086 (2016) - 2015
- [j11]Yuhao Zhu, Matthew Halpern, Vijay Janapa Reddi:
The Role of the CPU in Energy-Efficient Mobile Web Browsing. IEEE Micro 35(1): 26-33 (2015) - [c30]Yuhao Zhu, Matthew Halpern, Vijay Janapa Reddi:
Event-based scheduling for energy-efficient QoS (eQoS) in mobile Web applications. HPCA 2015: 137-149 - [c29]Jingwen Leng, Yazhou Zu, Vijay Janapa Reddi:
GPU voltage noise: Characterization and hierarchical smoothing of spatial and temporal voltage noise interference in GPU architectures. HPCA 2015: 161-173 - [c28]Matthew Halpern, Yuhao Zhu, Ramesh Peri, Vijay Janapa Reddi:
Mosaic: cross-platform user-interaction record and replay for the fragmented android ecosystem. ISPASS 2015: 215-224 - [c27]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi:
Safe limits on voltage reduction efficiency in GPUs: a direct measurement approach. MICRO 2015: 294-307 - [c26]Yazhou Zu, Charles R. Lefurgy, Jingwen Leng, Matthew Halpern, Michael S. Floyd, Vijay Janapa Reddi:
Adaptive guardband scheduling to improve system-level efficiency of the POWER7+. MICRO 2015: 308-321 - [c25]Yuhao Zhu, Daniel Richins, Matthew Halpern, Vijay Janapa Reddi:
Microarchitectural implications of event-driven server-side web applications. MICRO 2015: 762-774 - 2014
- [j10]Yuhao Zhu, Aditya Srikanth, Jingwen Leng, Vijay Janapa Reddi:
Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing. IEEE Comput. Archit. Lett. 13(1): 33-36 (2014) - [c24]Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari:
Morpheus: benchmarking computational diversity in mobile malware. HASP@ISCA 2014: 3:1-3:8 - [c23]Yuhao Zhu, Vijay Janapa Reddi:
WebCore: Architectural support for mobile Web browsing. ISCA 2014: 541-552 - [c22]Jingwen Leng, Yazhou Zu, Minsoo Rhu, Meeta Sharma Gupta, Vijay Janapa Reddi:
GPUVolt: modeling and characterizing voltage noise in GPU architectures. ISLPED 2014: 141-146 - 2013
- [b1]Vijay Janapa Reddi, Meeta Sharma Gupta:
Resilient Architecture Design for Voltage Variation. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2013, ISBN 9781608456376, pp. 1-138 - [j9]Vijay Janapa Reddi:
Reliability-Aware Microarchitecture Design. IEEE Micro 33(4): 4-5 (2013) - [c21]Yuhao Zhu, Vijay Janapa Reddi:
High-performance and energy-efficient mobile web browsing on big/little systems. HPCA 2013: 13-24 - [c20]Jingwen Leng, Tayler H. Hetherington, Ahmed ElTantawy, Syed Zohaib Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi:
GPUWattch: enabling energy optimizations in GPGPUs. ISCA 2013: 487-498 - 2012
- [c19]Vijay Janapa Reddi, David Z. Pan, Sani R. Nassif, Keith A. Bowman:
Robust and resilient designs from the bottom-up: Technology, CAD, circuit, and system issues. ASP-DAC 2012: 7-16 - [c18]Simone Campanoni, Timothy M. Jones, Glenn H. Holloway, Vijay Janapa Reddi, Gu-Yeon Wei, David M. Brooks:
HELIX: automatic parallelization of irregular programs for chip multiprocessing. CGO 2012: 84-93 - [c17]Vijay Janapa Reddi:
Hardware and software co-design for robust and resilient execution. CTS 2012: 380 - 2011
- [j8]Vijay Janapa Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael D. Smith, Gu-Yeon Wei, David M. Brooks:
Voltage Noise in Production Processors. IEEE Micro 31(1): 20-28 (2011) - [j7]Vijay Janapa Reddi, David M. Brooks:
Resilient Architectures via Collaborative Design: Maximizing Commodity Processor Performance in the Presence of Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(10): 1429-1445 (2011) - [j6]Vijay Janapa Reddi, Benjamin C. Lee, Trishul M. Chilimbi, Kushagra Vaid:
Mobile processors for energy-efficient web search. ACM Trans. Comput. Syst. 29(3): 9:1-9:39 (2011) - [c16]Peter Bailis, Vijay Janapa Reddi, Sanjay Gandhi, David M. Brooks, Margo I. Seltzer:
Dimetrodon: processor-level preventive thermal management via idle cycle injection. DAC 2011: 89-94 - 2010
- [j5]Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. Holloway, Michael D. Smith, Gu-Yeon Wei, David M. Brooks:
Predicting Voltage Droops Using Recurring Program and Microarchitectural Event Activity. IEEE Micro 30(1): 110 (2010) - [j4]Vijay Janapa Reddi, Simone Campanoni, Meeta Sharma Gupta, Michael D. Smith, Gu-Yeon Wei, David M. Brooks, Kim M. Hazelwood:
Eliminating voltage emergencies via software-guided code transformations. ACM Trans. Archit. Code Optim. 7(2): 12:1-12:28 (2010) - [c15]Vijay Janapa Reddi, Benjamin C. Lee, Trishul M. Chilimbi, Kushagra Vaid:
Web search using mobile cores: quantifying and mitigating the price of efficiency. ISCA 2010: 314-325 - [c14]Vijay Janapa Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael D. Smith, Gu-Yeon Wei, David M. Brooks:
Voltage Smoothing: Characterizing and Mitigating Voltage Noise in Production Processors via Software-Guided Thread Scheduling. MICRO 2010: 77-88
2000 – 2009
- 2009
- [j3]Alex Shye, Joseph Blomstedt, Tipp Moseley, Vijay Janapa Reddi, Daniel A. Connors:
PLR: A Software Approach to Transient Fault Tolerance for Multicore Architectures. IEEE Trans. Dependable Secur. Comput. 6(2): 135-148 (2009) - [c13]Vijay Janapa Reddi, Simone Campanoni, Meeta Sharma Gupta, Michael D. Smith, Gu-Yeon Wei, David M. Brooks:
Software-assisted hardware reliability: abstracting circuit-level challenges to the software stack. DAC 2009: 788-793 - [c12]Meeta Sharma Gupta, Vijay Janapa Reddi, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks:
An event-guided approach to reducing voltage noise in processors. DATE 2009: 160-165 - [c11]Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. Holloway, Gu-Yeon Wei, Michael D. Smith, David M. Brooks:
Voltage emergency prediction: Using signatures to reduce operating margins. HPCA 2009: 18-29 - 2007
- [c10]Vijay Janapa Reddi, Dan Connors, Robert Cohn, Michael D. Smith:
Persistent Code Caching: Exploiting Code Reuse Across Executions and Applications. CGO 2007: 74-88 - [c9]Tipp Moseley, Alex Shye, Vijay Janapa Reddi, Dirk Grunwald, Ramesh Peri:
Shadow Profiling: Hiding Instrumentation Costs with Parallelism. CGO 2007: 198-208 - [c8]Alex Shye, Tipp Moseley, Vijay Janapa Reddi, Joseph Blomstedt, Daniel A. Connors:
Using Process-Level Redundancy to Exploit Multiple Cores for Transient Fault Tolerance. DSN 2007: 297-306 - 2006
- [j2]Qiang Wu, Margaret Martonosi, Douglas W. Clark, Vijay Janapa Reddi, Dan Connors, Youfeng Wu, Jin Lee, David M. Brooks:
Dynamic-Compiler-Driven Control for Microprocessor Energy and Performance. IEEE Micro 26(1): 119-129 (2006) - 2005
- [j1]Vijay Janapa Reddi, Dan Connors, Robert S. Cohn:
Persistence in dynamic code transformation systems. SIGARCH Comput. Archit. News 33(5): 69-74 (2005) - [c7]Alex Shye, Matthew Iyer, Tipp Moseley, David Hodgdon, Dan Fay, Vijay Janapa Reddi, Daniel A. Connors:
Analysis of path profiling information generated with performance monitoring hardware. Interaction between Compilers and Computer Architectures 2005: 34-43 - [c6]Alex Shye, Matthew Iyer, Vijay Janapa Reddi, Daniel A. Connors:
Code coverage testing using hardware performance monitoring support. AADEBUG 2005: 159-163 - [c5]Tipp Moseley, Alex Shye, Vijay Janapa Reddi, Matthew Iyer, Dan Fay, David Hodgdon, Joshua L. Kihm, Alex Settle, Dirk Grunwald, Daniel A. Connors:
Dynamic run-time architecture techniques for enabling continuous optimization. Conf. Computing Frontiers 2005: 211-220 - [c4]Silvia M. Figueira, Vijay Janapa Reddi:
Topology-Based Hypercube Structures for Global Communication in Heterogeneous Networks. Euro-Par 2005: 994-1004 - [c3]Qiang Wu, Margaret Martonosi, Douglas W. Clark, Vijay Janapa Reddi, Dan Connors, Youfeng Wu, Jin Lee, David M. Brooks:
A Dynamic Compilation Framework for Controlling Microprocessor Energy and Performance. MICRO 2005: 271-282 - [c2]Chi-Keung Luk, Robert S. Cohn, Robert Muth, Harish Patil, Artur Klauser, P. Geoffrey Lowney, Steven Wallace, Vijay Janapa Reddi, Kim M. Hazelwood:
Pin: building customized program analysis tools with dynamic instrumentation. PLDI 2005: 190-200 - 2004
- [c1]Vijay Janapa Reddi, Alex Settle, Daniel A. Connors, Robert S. Cohn:
PIN: a binary instrumentation tool for computer architecture research and education. WCAE 2004: 22
Coauthor Index
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