Jeff Jun Zhang

25 papers A* 3A 5Misc 1Journal 8Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EPOCHS-1: A 12 nm Highly Heterogeneous Open-Source SoC With Distributed Coin-Based Power Management and Integrated Hybrid Voltage Regulation. IEEE J. Solid State Circuits Joseph Zuckerman, Martin Cochet, Maico Cassel dos Santos, Erik Jens Loscalzo, Karthik Swaminathan, Tianyu Jia, Davide Giri, Thierry Tambe, Jeff Jun Zhang, Alper Buyuktosunoglu, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca Piccolboni, Gabriele Tombesi, David Trilla, John-David Wellman, En-Yu Yang, Aporva Amarnath, Ying Jing, Bakshree Mishra, Joshua Park, Vignesh Suresh, Samira Zaliasl, Michael Lekas, Stephen Cahill, Hesam Sadeghi, Joseph Meyer, Noah Sturcken, Sarita V. Adve, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Pradip Bose, Luca P. Carloni
2025	A*	`conf`	SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System. DAC Ziang Yin, Meng Zhang, Nicholas Gangi, Z. Rena Huang, Jeff Jun Zhang, Jiaqi Gu
2024	—	`conf`	14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration. ISSCC Maico Cassel dos Santos, Tianyu Jia, Joseph Zuckerman, Martin Cochet, Davide Giri, Erik Jens Loscalzo, Karthik Swaminathan, Thierry Tambe, Jeff Jun Zhang, Alper Buyuktosunoglu, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca Piccolboni, Gabriele Tombesi, David Trilla, John-David Wellman, En-Yu Yang, Aporva Amarnath, Ying Jing, Bakshree Mishra, Joshua Park, Vignesh Suresh, Sarita V. Adve, Pradip Bose, David Brooks, Luca P. Carloni, Kenneth L. Shepard, Gu-Yeon Wei
2024	—	`conf`	Fused Functional Units for Area-Efficient CGRAs. ISQED Ron Jokai, Cheng Tan, Jeff Jun Zhang
2024	J	`jnl`	Intelligent Networking for Energy Harvesting Powered IoT Systems. ACM Trans. Sens. Networks Wen Zhang, Chen Pan, Tao Liu, Jeff Jun Zhang, Mehdi Sookhak, Mimi Xie
2022	—	`conf`	A 12nm Agile-Designed SoC for Swarm-Based Perception with Heterogeneous IP Blocks, a Reconfigurable Memory Hierarchy, and an 800MHz Multi-Plane NoC. ESSCIRC Tianyu Jia, Paolo Mantovani, Maico Cassel dos Santos, Davide Giri, Joseph Zuckerman, Erik Jens Loscalzo, Martin Cochet, Karthik Swaminathan, Gabriele Tombesi, Jeff Jun Zhang, Nandhini Chandramoorthy, John-David Wellman, Kevin Tien, Luca P. Carloni, Kenneth L. Shepard, David Brooks, Gu-Yeon Wei, Pradip Bose
2022	A	`conf`	A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components. ICCAD Maico Cassel dos Santos, Tianyu Jia, Martin Cochet, Karthik Swaminathan, Joseph Zuckerman, Paolo Mantovani, Davide Giri, Jeff Jun Zhang, Erik Jens Loscalzo, Gabriele Tombesi, Kevin Tien, Nandhini Chandramoorthy, John-David Wellman, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose
2022	A	`conf`	ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. ICS Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
2022	J	`jnl`	Bridging Python to Silicon: The SODA Toolchain. IEEE Micro Nicolas Bohm Agostini, Serena Curzel, Jeff Jun Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Antonino Tumeo
2022	A	`conf`	Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao
2022	—	`conf`	From High-Level Frameworks to custom Silicon with SODA. HCS Serena Curzel, Nicolas Bohm Agostini, Reece Neff, Ankur Limaye, Jeff Jun Zhang, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
2021	—	`conf`	Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). ASAP Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao
2021	—	`conf`	Can We Trust Machine Learning for Electronic Design Automation? SoCC Kang Liu, Jeff Jun Zhang, Benjamin Tan, Dan Feng
2021	J	`jnl`	RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. CoRR Udit Gupta, Samuel Hsia, Jeff Jun Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
2021	—	`conf`	SAC: A Novel Multi-hop Routing Policy in Hybrid Distributed IoT System based on Multi-agent Reinforcement Learning. ISQED Wen Zhang, Tao Liu, Mimi Xie, Jeff Jun Zhang, Chen Pan
2021	—	`conf`	Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks
2019	A*	`conf`	Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg
2019	J	`jnl`	CompAct: On-chip <underline>Com</underline>pression of <underline>Act</underline>ivations for Low Power Systolic Array Based CNN Acceleration. ACM Trans. Embed. Comput. Syst. Jeff Jun Zhang, Parul Raj, Shuayb Zarar, Amol Ambardekar, Siddharth Garg
2019	J	`jnl`	Fault-Tolerant Systolic Array Based Accelerators for Deep Neural Network Execution. IEEE Des. Test Jeff Jun Zhang, Kanad Basu, Siddharth Garg
2019	J	`jnl`	Split Manufacturing-Based Register Transfer-Level Obfuscation. ACM J. Emerg. Technol. Comput. Syst. Xiaotong Cui, Jeff Jun Zhang, Kaijie Wu, Siddharth Garg, Ramesh Karri
2018	Misc	`conf`	Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator. VTS Jeff Jun Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg
2018	A	`conf`	FATE: fast and accurate timing error prediction framework for low power DNN accelerator design. ICCAD Jeff Jun Zhang, Siddharth Garg
2017	A	`conf`	BandiTS: Dynamic timing speculation using multi-armed bandit based optimization. DATE Jeff Jun Zhang, Siddharth Garg
2016	A*	`conf`	Synergistic timing speculation for multi-threaded programs. DAC Atif Yasin, Jeff Jun Zhang, Hu Chen, Siddharth Garg, Sanghamitra Roy, Koushik Chakraborty
2015	J	`jnl`	An Adaptive Invasive Weed Optimization Algorithm. Int. J. Pattern Recognit. Artif. Intell. Shuo Peng, Aijia Ouyang, Jeff Jun Zhang