Gu-Yeon Wei - RankMe

267 papers A* 50A 26B 8C 7Misc 4Journal 116Unranked 55

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
2026	A*	`conf`	RPU - A Reasoning Processing Unit. HPCA Matthew Joseph Adiletta, Gu-Yeon Wei, David Brooks
2026	J	`jnl`	RPU - A Reasoning Processing Unit. CoRR Matthew Joseph Adiletta, Gu-Yeon Wei, David Brooks
2025	J	`jnl`	A view of the sustainable computing landscape. Patterns Benjamin C. Lee, David Brooks, Arthur van Benthem, Mariam Elgamal, Udit Gupta, Gage Hills, Vincent Liu, Linh Thi Xuan Phan, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2025	J	`jnl`	BlitzCoin: A Decentralized Hardware Solution for Power Management of Highly Heterogeneous Systems on Chip. IEEE Micro Martin Cochet, Karthik Swaminathan, Erik Loscalzo, Joseph Zuckerman, Maico Cassel dos Santos, Davide Giri, Alper Buyuktosunoglu, Tianyu Jia, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose
2025	A*	`conf`	CORDOBA: Carbon-Efficient Optimization Framework for Computing Systems. HPCA Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
2025	J	`jnl`	Democratizing Customization for ML at the Edge Through Hetero-Chiplet SiP Architectures. IEEE J. Emerg. Sel. Topics Circuits Syst. Matthew Joseph Adiletta, Gu-Yeon Wei, David Brooks
2025	J	`jnl`	DreamRAM: A Fine-Grained Configurable Design Space Modeling Tool for Custom 3D Die-Stacked DRAM. CoRR Victor Cai, Jennifer Zhou, Haebin Do, David Brooks, Gu-Yeon Wei
2025	J	`jnl`	FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices. CoRR Yuji Chai, Mujin Kwen, David Brooks, Gu-Yeon Wei
2025	J	`jnl`	Modeling PFAS in Semiconductor Manufacturing to Quantify Trade-offs in Energy Efficiency and Environmental Impact of Computing Systems. CoRR Mariam Elgamal, Abdulrahman Mahmoud, Gu-Yeon Wei, David Brooks, Gage Hills
2025	A	`conf`	PFASware: Quantifying the Environmental Impact of Per- and Polyfluoroalkyl Substances (PFAS) in Computing Systems. DATE Mariam Elgamal, Abdulrahman Mahmoud, Gu-Yeon Wei, David Brooks, Gage Hills
2025	J	`jnl`	PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training. CoRR Alicia Golden, Michael Kuchnik, Samuel Hsia, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2025	J	`jnl`	The Energy Cost of Reasoning: Analyzing Energy Usage in LLMs with Test-time Compute. CoRR Yunho Jin, Gu-Yeon Wei, David Brooks
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`	A 400-ns-Settling- Time Hybrid Dynamic Voltage Frequency Scaling Architecture and Its Application in a 22-Core Network-on-Chip SoC in 12-nm FinFET Technology. VLSI Technology and Circuits Erik Jens Loscalzo, Martin Cochet, Joseph Zuckerman, Samira Zalias, Michael Lekas, Stephen Cahill, Tianyu Jia, Karthik Swaminathan, Maico Cassel dos Santos, Davide Giri, Hesam Sadeghi, Joseph Meyer, Noah Sturcken, David Brooks, Gu-Yeon Wei, Luca P. Carloni, Pradip Bose, Kenneth L. Shepard
2024	J	`jnl`	Application-level Validation of Accelerator Designs Using a Formal Software/Hardware Interface. ACM Trans. Design Autom. Electr. Syst. Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Gus Henry Smith, Thierry Tambe, Akash Gaonkar, Vishal Canumalla, Andrew Cheung, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik
2024	A*	`conf`	BlitzCoin: Fully Decentralized Hardware Power Management for Accelerator-Rich SoCs. ISCA Martin Cochet, Karthik Swaminathan, Erik Jens Loscalzo, Joseph Zuckerman, Maico Cassel dos Santos, Davide Giri, Alper Buyuktosunoglu, Tianyu Jia, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose
2024	A*	`conf`	CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. HPCA Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2024	J	`jnl`	Carbon Connect: An Ecosystem for Sustainable Computing. CoRR Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2024	J	`jnl`	Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU. CoRR Hyeri Roh, Jinsu Yeo, Yeongil Ko, Gu-Yeon Wei, David Brooks, Wooseok Choi
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	B	`conf`	Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. ISPASS Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024	J	`jnl`	Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR. CoRR Iulian Brumar, Rodrigo Rocha, Alex Bernat, Devashree Tripathy, David Brooks, Gu-Yeon Wei
2024	A*	`conf`	Guess & Sketch: Language Model Guided Transpilation. ICLR Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
2024	J	`jnl`	Is Flash Attention Stable? CoRR Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024	A	`conf`	JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. ISLPED Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks
2024	A*	`conf`	MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. ISCA Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024	J	`jnl`	Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models. CoRR Yun-Chen Lo, Gu-Yeon Wei, David Brooks
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	—	`conf`	VelociTI: An Architecture-level Performance Modeling Framework for Trapped Ion Quantum Computers. IISWC Alexander Hankin, Abdulrahman Mahmoud, Mark Hempstead, David Brooks, Gu-Yeon Wei
2023	—	`conf`	A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. ISSCC Thierry Tambe, Jeff Zhang, Coleman Hooper, Tianyu Jia, Paul N. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth L. Shepard, Luca P. Carloni, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	A Binary-Activation, Multi-Level Weight RNN and Training Algorithm for ADC-/DAC-Free and Noise-Resilient Processing-in-Memory Inference With eNVM. IEEE Trans. Emerg. Top. Comput. Siming Ma, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar
2023	J	`jnl`	Architectural CO IEEE Micro Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2023	J	`jnl`	CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning. CoRR Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2023	—	`conf`	Carbon-Efficient Design Optimization for Computing Systems. HotCarbon Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
2023	B	`conf`	Characterizing the Scalability of Graph Convolutional Networks on Intel ISPASS Matthew Joseph Adiletta, Jesmin Jahan Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, David Brooks
2023	J	`jnl`	Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems. CoRR Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
2023	J	`jnl`	Early DSE and Automatic Generation of Coarse-grained Merged Accelerators. ACM Trans. Embed. Comput. Syst. Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, David Brooks, Gu-Yeon Wei
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`	Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. CoRR Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023	J	`jnl`	Guess & Sketch: Language Model Guided Transpilation. CoRR Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
2023	A*	`conf`	Hardware Resilience Properties of Text-Guided Image Classifiers. NeurIPS Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman H. Khan, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	Hardware Resilience Properties of Text-Guided Image Classifiers. CoRR Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman Khan, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation. CoRR Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2023	B	`conf`	Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory. ISPASS Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. CoRR Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
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`	MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation. CoRR Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023	—	`conf`	MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. ASPLOS (3) Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023	J	`jnl`	PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
2023	A*	`conf`	S NeurIPS Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	S CoRR Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	SoCProbe: Compositional Post-Silicon Validation of Heterogeneous NoC-Based SoCs. IEEE Des. Test Gabriele Tombesi, Joseph Zuckerman, Paolo Mantovani, Davide Giri, Maico Cassel dos Santos, Tianyu Jia, David Brooks, Gu-Yeon Wei, Luca P. Carloni
2023	J	`jnl`	Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration. ACM Trans. Embed. Comput. Syst. Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks
2023	—	`conf`	VelociTI: An Architecture-level Performance Modeling Framework for Trapped Ion Quantum Computers. IISWC Alexander Hankin, Abdulrahman Mahmoud, Mark Hempstead, David Brooks, Gu-Yeon Wei
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`	A joint management middleware to improve training performance of deep recommendation systems with SSDs. DAC Chun-Feng Wu, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2022	A*	`conf`	ACT: designing sustainable computer systems with an architectural carbon modeling tool. ISCA Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
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`	Architectural Implications of Embedding Dimension during GCN on CPU and GPU. CoRR Matthew Adiletta, David Brooks, Gu-Yeon Wei
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`	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	J	`jnl`	Chasing Carbon: The Elusive Environmental Footprint of Computing. IEEE Micro Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2022	A*	`conf`	CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators. HPCA Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
2022	J	`jnl`	End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers Serena Curzel, Nicolas Bohm Agostini, Vito Giovanni Castellana, Marco Minutoli, Ankur Limaye, Joseph B. Manzano, Jeff Zhang, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
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
2022	A	`conf`	GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators. DSN Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks, Gu-Yeon Wei
2022	J	`jnl`	Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference. CoRR Wooseok Choi, Brandon Reagen, Gu-Yeon Wei, David Brooks
2022	A*	`conf`	NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. HPCA Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
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`	SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators. IEEE J. Solid State Circuits Sae Kyu Lee, Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2022	J	`jnl`	Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface. CoRR Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Thierry Tambe, Gus Henry Smith, Akash Gaonkar, Vishal Canumalla, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik
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	J	`jnl`	Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration. CoRR Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks
2021	—	`conf`	9.8 A 25mm ISSCC Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021	A	`conf`	Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. ISLPED Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David M. Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato
2021	J	`jnl`	Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. CoRR Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato
2021	A*	`conf`	Chasing Carbon: The Elusive Environmental Footprint of Computing. HPCA Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2021	A*	`conf`	Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference. HPCA Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent T. Lee, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks
2021	J	`jnl`	Early DSE and Automatic Generation of Coarse Grained Merged Accelerators. CoRR Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, Gu-Yeon Wei, David Brooks
2021	A*	`conf`	EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. MICRO Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021	—	`conf`	FlexACC: A Programmable Accelerator with Application-Specific ISA for Flexible Deep Neural Network Inference. ASAP En-Yu Yang, Tianyu Jia, David Brooks, Gu-Yeon Wei
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	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`	NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. CoRR Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
2021	J	`jnl`	Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models. CoRR Coleman Hooper, Thierry Tambe, Gu-Yeon Wei
2021	A*	`conf`	RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. MICRO Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
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	J	`jnl`	RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference. CoRR Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
2021	A*	`conf`	RecSSD: near data processing for solid state drive based recommendation inference. ASPLOS Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
2021	—	`conf`	SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33 HCS Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
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
2020	—	`conf`	A 3mm VLSI Circuits Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2020	—	`conf`	A Scalable Bayesian Inference Accelerator for Unsupervised Learning. Hot Chips Symposium Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
2020	—	`conf`	A Systematic Methodology for Analysis of Deep Learning Hardware and Software Platforms. MLSys Yu Wang, Gu-Yeon Wei, David Brooks
2020	A	`conf`	A comprehensive methodology to determine optimal coherence interfaces for many-accelerator SoCs. ISLPED Kshitij Bhardwaj, Marton Havasi, Yuan Yao, David M. Brooks, José Miguel Hernández-Lobato, Gu-Yeon Wei
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	J	`jnl`	CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development. IEEE Micro Paul N. Whatmough, Marco Donato, Glenn G. Ko, Sae Kyu Lee, David Brooks, Gu-Yeon Wei
2020	J	`jnl`	CHIPKIT: An agile, reusable open-source framework for rapid test chip development. CoRR Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2020	J	`jnl`	Chasing Carbon: The Elusive Environmental Footprint of Computing. CoRR Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2020	J	`jnl`	Cheetah: Optimizations and Methods for PrivacyPreserving Inference via Homomorphic Encryption. CoRR Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent T. Lee, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks
2020	—	`conf`	Cross-Stack Workload Characterization of Deep Recommendation Systems. IISWC Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2020	J	`jnl`	Cross-Stack Workload Characterization of Deep Recommendation Systems. CoRR Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2020	A*	`conf`	DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference. ISCA Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2020	J	`jnl`	DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference. CoRR Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2020	J	`jnl`	EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. CoRR Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	A*	`conf`	Invited: Software Defined Accelerators From Learning Tools Environment. DAC Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei
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`	SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. ACM Trans. Archit. Code Optim. Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks
2020	A	`conf`	SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. ICCAD Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei
2020	A*	`conf`	Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. CVPR Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
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
2019	J	`jnl`	A 16-nm Always-On DNN Processor With Adaptive Clocking and Multi-Cycle Banked SRAMs. IEEE J. Solid State Circuits Sae Kyu Lee, Paul N. Whatmough, David Brooks, Gu-Yeon Wei
2019	—	`conf`	A 16nm 25mm VLSI Circuits Paul N. Whatmough, Sae Kyu Lee, Marco Donato, Hsea-Ching Hsueh, Sam Likun Xi, Udit Gupta, Lillian Pentecost, Glenn G. Ko, David M. Brooks, Gu-Yeon Wei
2019	J	`jnl`	A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM. CoRR Siming Ma, David Brooks, Gu-Yeon Wei
2019	B	`conf`	Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling. FPL Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
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`	Benchmarking TPU, GPU, and CPU Platforms for Deep Learning. CoRR Yu Wang, Gu-Yeon Wei, David Brooks
2019	—	`conf`	CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. ProTools@SC Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch
2019	B	`conf`	Demystifying Bayesian Inference Workloads. ISPASS Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks
2019	J	`jnl`	Determining Optimal Coherency Interface for Many-Accelerator SoCs Using Bayesian Optimization. IEEE Comput. Archit. Lett. Kshitij Bhardwaj, Marton Havasi, Yuan Yao, David M. Brooks, José Miguel Hernández-Lobato, Gu-Yeon Wei
2019	Misc	`conf`	FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs. FCCM Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2019	J	`jnl`	Learning Low-Rank Approximation for CNNs. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Gu-Yeon Wei
2019	B	`conf`	MASR: A Modular Accelerator for Sparse RNNs. PACT Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2019	J	`jnl`	MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge. IEEE Micro Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei
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	A*	`conf`	MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. MICRO Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks
2019	J	`jnl`	Network Pruning for Low-Rank Binary Indexing. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei
2019	J	`jnl`	Predicting New Workload or CPU Performance by Analyzing Public Datasets. ACM Trans. Archit. Code Optim. Yu Wang, Victor Lee, Gu-Yeon Wei, David M. Brooks
2019	J	`jnl`	SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. CoRR Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks
2019	J	`jnl`	Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks. CoRR Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
2018	—	`conf`	A Wide Dynamic Range Sparse FC-DNN Processor with Multi-Cycle Banked SRAM Read and Adaptive Clocking in 16nm FinFET. ESSCIRC Sae Kyu Lee, Paul N. Whatmough, Niamh Mulholland, Patrick Hansen, David Brooks, Gu-Yeon Wei
2018	J	`jnl`	An Area-Efficient 8-Bit Single-Ended ADC With Extended Input Voltage Range. IEEE Trans. Circuits Syst. II Express Briefs Simon Chaput, David M. Brooks, Gu-Yeon Wei
2018	A*	`conf`	Ares: a framework for quantifying the resilience of deep neural networks. DAC Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei
2018	J	`jnl`	Assisting High-Level Synthesis Improve SpMV Benchmark Through Dynamic Dependence Analysis. IEEE Trans. Circuits Syst. II Express Briefs Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks
2018	J	`jnl`	Cloud No Longer a Silver Bullet, Edge to the Rescue. CoRR Yuhao Zhu, Gu-Yeon Wei, David M. Brooks
2018	J	`jnl`	DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications. IEEE J. Solid State Circuits Paul N. Whatmough, Sae Kyu Lee, David M. Brooks, Gu-Yeon Wei
2018	A*	`conf`	On-chip deep neural network storage with multi-level eNVM. DAC Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei
2018	—	`conf`	Weightless: Lossy weight encoding for deep neural network compression. ICLR (Workshop) Brandon Reagen, Udit Gupta, Robert Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2018	A*	`conf`	Weightless: Lossy weight encoding for deep neural network compression. ICML Brandon Reagen, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2017	—	`conf`	14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications. ISSCC Paul N. Whatmough, Sae Kyu Lee, Hyunkwang Lee, Saketh Rama, David M. Brooks, Gu-Yeon Wei
2017	—	`conf`	21.5 A 3-to-5V input 100Vpp output 57.7mW 0.42% THD+N highly integrated piezoelectric actuator driver. ISSCC Simon Chaput, David M. Brooks, Gu-Yeon Wei
2017	J	`jnl`	A 16-Core Voltage-Stacked System With Adaptive Clocking and an Integrated Switched-Capacitor DC-DC Converter. IEEE Trans. Very Large Scale Integr. Syst. Sae Kyu Lee, Tao Tong, Xuan Zhang, David M. Brooks, Gu-Yeon Wei
2017	J	`jnl`	A Fully Integrated Battery-Powered System-on-Chip in 40-nm CMOS for Closed-Loop Control of Insect-Scale Pico-Aerial Vehicle. IEEE J. Solid State Circuits Xuan Zhang, Mario Lok, Tao Tong, Sae Kyu Lee, Brandon Reagen, Simon Chaput, Pierre-Emile J. Duhamel, Robert J. Wood, David M. Brooks, Gu-Yeon Wei
2017	A	`conf`	A case for efficient accelerator design space exploration via Bayesian optimization. ISLPED Brandon Reagen, José Miguel Hernández-Lobato, Robert Adolf, Michael A. Gelbart, Paul N. Whatmough, Gu-Yeon Wei, David M. Brooks
2017	C	`conf`	Applications of Deep Neural Networks for Ultra Low Power IoT. ICCD Sreela Kodali, Patrick Hansen, Niamh Mulholland, Paul N. Whatmough, David M. Brooks, Gu-Yeon Wei
2017	J	`jnl`	Automatically accelerating non-numerical programs by architecture-compiler co-design. Commun. ACM Simone Campanoni, Kevin Brownell, Svilen Kanev, Timothy M. Jones, Gu-Yeon Wei, David M. Brooks
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	—	`book`	Deep Learning for Computer Architects Brandon Reagen, Robert Adolf, Paul N. Whatmough, Gu-Yeon Wei, David M. Brooks
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	A*	`conf`	Mallacc: Accelerating Memory Allocation. ASPLOS Svilen Kanev, Sam Likun Xi, Gu-Yeon Wei, David M. Brooks
2017	—	`conf`	Methods and infrastructure in the era of accelerator-centric architectures. MWSCAS Brandon Reagen, Yakun Sophia Shao, Sam Likun Xi, Gu-Yeon Wei, David Brooks
2017	Misc	`conf`	Sub-uJ deep neural networks for embedded applications. ACSSC Paul N. Whatmough, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks
2017	C	`conf`	Using dynamic dependence analysis to improve the quality of high-level synthesis designs. ISCAS Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks
2017	C	`conf`	Very Low Voltage (VLV) Design. ICCD Ramon Bertran, Pradip Bose, David M. Brooks, Jeff Burns, Alper Buyuktosunoglu, Nandhini Chandramoorthy, Eric Cheng, Martin Cochet, Schuyler Eldridge, Daniel J. Friedman, Hans M. Jacobson, Rajiv V. Joshi, Subhasish Mitra, Robert K. Montoye, Arun Paidimarri, Pritish Parida, Kevin Skadron, Mircea Stan, Karthik Swaminathan, Augusto Vega, Swagath Venkataramani, Christos Vezyrtzis, Gu-Yeon Wei, John-David Wellman, Matthew M. Ziegler
2017	J	`jnl`	Weightless: Lossy Weight Encoding For Deep Neural Network Compression. CoRR Brandon Reagen, Udit Gupta, Robert Adolf, Michael M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David M. Brooks
2016	J	`jnl`	A Fully Integrated Reconfigurable Switched-Capacitor DC-DC Converter With Four Stacked Output Channels for Voltage Stacking Applications. IEEE J. Solid State Circuits Tao Tong, Sae Kyu Lee, Xuan Zhang, David M. Brooks, Gu-Yeon Wei
2016	A*	`conf`	Co-designing accelerators and SoC interfaces using gem5-Aladdin. MICRO Yakun Sophia Shao, Sam Likun Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David M. Brooks
2016	J	`jnl`	Fathom: Reference Workloads for Modern Deep Learning Methods. CoRR Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks
2016	—	`conf`	Fathom: reference workloads for modern deep learning methods. IISWC Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks
2016	A*	`conf`	Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators. ISCA Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, José Miguel Hernández-Lobato, Gu-Yeon Wei, David M. Brooks
2016	J	`jnl`	Profiling a Warehouse-Scale Computer. IEEE Micro Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks
2015	—	`conf`	A 16-core voltage-stacked system with an integrated switched-capacitor DC-DC converter. VLSIC Sae Kyu Lee, Tao Tong, Xuan Zhang, David M. Brooks, Gu-Yeon Wei
2015	—	`conf`	A multi-chip system optimized for insect-scale flapping-wing robots. VLSIC Xuan Zhang, Mario Lok, Tao Tong, Simon Chaput, Sae Kyu Lee, Brandon Reagen, Hyunkwang Lee, David M. Brooks, Gu-Yeon Wei
2015	—	`conf`	A power electronics unit to drive piezoelectric actuators for flying microrobots. CICC Mario Lok, Xuan Zhang, Elizabeth Farrell Helbling, Robert J. Wood, David M. Brooks, Gu-Yeon Wei
2015	A	`conf`	HELIX-UP: relaxing program semantics to unleash parallelization. CGO Simone Campanoni, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks
2015	A*	`conf`	Profiling a warehouse-scale computer. ISCA Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks
2015	A*	`conf`	Quantifying sources of error in McPAT and potential impacts on architectural studies. HPCA Sam Likun Xi, Hans M. Jacobson, Pradip Bose, Gu-Yeon Wei, David M. Brooks
2015	J	`jnl`	The Aladdin Approach to Accelerator Design and Modeling. IEEE Micro Yakun Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David M. Brooks
2014	J	`jnl`	ADC-Based Backplane Receiver Design-Space Exploration. IEEE Trans. Very Large Scale Integr. Syst. Hayun Chung, Gu-Yeon Wei
2014	A*	`conf`	Aladdin: A pre-RTL, power-performance accelerator simulator enabling large design space exploration of customized architectures. ISCA Yakun Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David M. Brooks
2014	J	`jnl`	Evaluating Adaptive Clocking for Supply-Noise Resilience in Battery-Powered Aerial Microrobotic System-on-Chip. IEEE Trans. Circuits Syst. I Regul. Pap. Xuan Zhang, Tao Tong, David M. Brooks, Gu-Yeon Wei
2014	A*	`conf`	HELIX-RC: An architecture-compiler co-design for automatic parallelization of irregular programs. ISCA Simone Campanoni, Kevin Brownell, Svilen Kanev, Timothy M. Jones, Gu-Yeon Wei, David M. Brooks
2014	—	`conf`	MachSuite: Benchmarks for accelerator design and customized architectures. IISWC Brandon Reagen, Robert Adolf, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks
2014	C	`conf`	Multi-accelerator system development with the ShrinkFit acceleration framework. ICCD Michael J. Lyons, Gu-Yeon Wei, David M. Brooks
2014	—	`conf`	Tradeoffs between power management and tail latency in warehouse-scale applications. IISWC Svilen Kanev, Kim M. Hazelwood, Gu-Yeon Wei, David M. Brooks
2013	—	`conf`	A fully integrated battery-connected switched-capacitor 4: 1 voltage regulator with 70% peak efficiency using bottom-plate charge recycling. CICC Tao Tong, Xuan Zhang, Wonyoung Kim, David M. Brooks, Gu-Yeon Wei
2013	A	`conf`	Characterizing and evaluating voltage noise in multi-core near-threshold processors. ISLPED Xuan Zhang, Tao Tong, Svilen Kanev, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks
2013	A	`conf`	Quantifying acceleration: Power/performance trade-offs of application kernels in hardware. ISLPED Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks
2013	J	`jnl`	Shrink-Fit: A Framework for Flexible Accelerator Sizing. IEEE Comput. Archit. Lett. Michael J. Lyons, Gu-Yeon Wei, David M. Brooks
2013	—	`conf`	Supply-noise resilient adaptive clocking for battery-powered aerial microrobotic System-on-Chip in 40nm CMOS. CICC Xuan Zhang, Tao Tong, David M. Brooks, Gu-Yeon Wei
2012	J	`jnl`	A Fully-Integrated 3-Level DC-DC Converter for Nanosecond-Scale DVFS. IEEE J. Solid State Circuits Wonyoung Kim, David M. Brooks, Gu-Yeon Wei
2012	A	`conf`	Evaluation of voltage stacking for near-threshold multicore computing. ISLPED Sae Kyu Lee, David M. Brooks, Gu-Yeon Wei
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	J	`jnl`	Helix: Making the Extraction of Thread-Level Parallelism Mainstream. IEEE Micro Simone Campanoni, Timothy M. Jones, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks
2012	A*	`conf`	The HELIX project: overview and directions. DAC Simone Campanoni, Timothy M. Jones, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks
2012	J	`jnl`	The accelerator store: A shared memory framework for accelerator-based systems. ACM Trans. Archit. Code Optim. Michael J. Lyons, Mark Hempstead, Gu-Yeon Wei, David M. Brooks
2012	A	`conf`	XIOSim: power-performance modeling of mobile x86 cores. ISLPED Svilen Kanev, Gu-Yeon Wei, David M. Brooks
2011	—	`conf`	A fully-integrated 3-level DC/DC converter for nanosecond-scale DVS with fast shunt regulation. ISSCC Wonyoung Kim, David M. Brooks, Gu-Yeon Wei
2011	A*	`conf`	Achieving uniform performance and maximizing throughput in the presence of heterogeneity. HPCA Krishna K. Rangan, Michael D. Powell, Gu-Yeon Wei, David M. Brooks
2011	J	`jnl`	An Accelerator-Based Wireless Sensor Network Processor in 130 nm CMOS. IEEE J. Emerg. Sel. Topics Circuits Syst. Mark Hempstead, David M. Brooks, Gu-Yeon Wei
2011	—	`conf`	Area efficient phase calibration of a 1.6 GHz multiphase DLL. CICC Ankur Agrawal, Pavan Kumar Hanumolu, Gu-Yeon Wei
2011	J	`jnl`	Automating Design of Voltage Interpolation to Address Process Variations. IEEE Trans. Very Large Scale Integr. Syst. Kevin Brownell, Ali Durlov Khan, Gu-Yeon Wei, David M. Brooks
2011	A	`conf`	Hardware in the loop for optical flow sensing in a robotic bee. IROS Pierre-Emile Duhamel, Judson Porter, Benjamin M. Finio, Geoffrey L. Barrows, David M. Brooks, Gu-Yeon Wei, Robert J. Wood
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	A	`conf`	Energetics of flapping-wing robotic insects: towards autonomous hovering flight. IROS Michael Karpelson, John Peter Whitney, Gu-Yeon Wei, Robert J. Wood
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	J	`jnl`	The Accelerator Store framework for high-performance, low-power accelerator-based systems. IEEE Comput. Archit. Lett. Michael J. Lyons, Mark Hempstead, 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
2009	J	`jnl`	An 8×5 Gb/s Parallel Receiver With Collaborative Timing Recovery. IEEE J. Solid State Circuits Ankur Agrawal, Andrew Liu, Pavan Kumar Hanumolu, Gu-Yeon Wei
2009	Misc	`conf`	An accelerator-based wireless sensor network processor in 130nm CMOS. CASES Mark Hempstead, Gu-Yeon Wei, David M. Brooks
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	C	`conf`	Design and test strategies for microarchitectural post-fabrication tuning. ICCD Xiaoyao Liang, Benjamin C. Lee, Gu-Yeon Wei, David M. Brooks
2009	—	`conf`	Design-space exploration of backplane receivers with high-speed ADCs and digital equalization. CICC Hayun Chung, Gu-Yeon Wei
2009	—	`conf`	Digital wireline and PLL techniques. CICC Gu-Yeon Wei, Afshin Momtaz
2009	C	`conf`	Empirical performance models for 3T1D memories. ICCD Kristen Lovin, Benjamin C. Lee, Xiaoyao Liang, David M. Brooks, Gu-Yeon Wei
2009	A*	`conf`	Milligram-scale high-voltage power electronics for piezoelectric microrobots. ICRA Michael Karpelson, Gu-Yeon Wei, Robert J. Wood
2009	—	`conf`	Place and route considerations for voltage interpolated designs. ISQED Kevin Brownell, Ali Durlov Khan, David M. Brooks, Gu-Yeon Wei
2009	J	`jnl`	Revival: A Variation-Tolerant Architecture Using Voltage Interpolation and Variable Latency. IEEE Micro Xiaoyao Liang, Gu-Yeon Wei, David M. Brooks
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`	Thread motion: fine-grained power management for multi-core systems. ISCA Krishna K. Rangan, Gu-Yeon Wei, David M. Brooks
2009	A*	`conf`	Tribeca: design for PVT variations with local recovery and fine-grained adaptation. MICRO Meeta Sharma Gupta, Jude A. Rivers, Pradip Bose, 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
2008	—	`conf`	A 12.5-Gbps, 7-bit transmit DAC with 4-tap LUT-based equalization in 0.13μm CMOS. CICC Hayun Chung, Andrew Liu, Gu-Yeon Wei
2008	—	`conf`	A 8×5 Gb/s source-synchronous receiver with clock generator phase error correction. CICC Ankur Agrawal, Pavan Kumar Hanumolu, Gu-Yeon Wei
2008	J	`jnl`	A High-Throughput Maximum a Posteriori Probability Detector. IEEE J. Solid State Circuits Ruwan N. S. Ratnayake, Aleksandar Kavcic, Gu-Yeon Wei
2008	J	`jnl`	A Highly Digital MDLL-Based Clock Multiplier That Leverages a Self-Scrambling Time-to-Digital Converter to Achieve Subpicosecond Jitter Performance. IEEE J. Solid State Circuits Belal Helal, Matthew Z. Straayer, Gu-Yeon Wei, Michael H. Perrott
2008	—	`conf`	A Process-Variation-Tolerant Floating-Point Unit with Voltage Interpolation and Variable Latency. ISSCC Xiaoyao Liang, David M. Brooks, Gu-Yeon Wei
2008	J	`jnl`	A Sub-Picosecond Resolution 0.5-1.5 GHz Digital-to-Phase Converter. IEEE J. Solid State Circuits Pavan Kumar Hanumolu, Volodymyr Kratyuk, Gu-Yeon Wei, Un-Ku Moon
2008	J	`jnl`	A Wide-Tracking Range Clock and Data Recovery Circuit. IEEE J. Solid State Circuits Pavan Kumar Hanumolu, Gu-Yeon Wei, Un-Ku Moon
2008	A*	`conf`	A review of actuation and power electronics options for flapping-wing robotic insects. ICRA Michael Karpelson, Gu-Yeon Wei, Robert J. Wood
2008	—	`conf`	An 8×3.2Gb/s Parallel Receiver with Collaborative Timing Recovery. ISSCC Ankur Agrawal, Pavan Kumar Hanumolu, Gu-Yeon Wei
2008	A*	`conf`	DeCoR: A Delayed Commit and Rollback mechanism for handling inductive noise in processors. HPCA Meeta Sharma Gupta, Krishna K. Rangan, Michael D. Smith, Gu-Yeon Wei, David M. Brooks
2008	A	`conf`	Design of low-power short-distance opto-electronic transceiver front-ends with scalable supply voltages and frequencies. ISLPED Xuning Chen, Gu-Yeon Wei, Li-Shiuan Peh
2008	A	`conf`	Evaluation of voltage interpolation to address process variations. ICCAD Kevin Brownell, Gu-Yeon Wei, David M. Brooks
2008	A	`conf`	Instruction-driven clock scheduling with glitch mitigation. ISLPED Gu-Yeon Wei, David M. Brooks, Ali Durlov Khan, Xiaoyao Liang
2008	A*	`conf`	ReVIVaL: A Variation-Tolerant Architecture Using Voltage Interpolation and Variable Latency. ISCA Xiaoyao Liang, Gu-Yeon Wei, David M. Brooks
2008	J	`jnl`	Replacing 6T SRAMs with 3T1D DRAMs in the L1 Data Cache to Combat Process Variability. IEEE Micro Xiaoyao Liang, Ramon Canal, Gu-Yeon Wei, David M. Brooks
2008	J	`jnl`	Survey of Hardware Systems for Wireless Sensor Networks. J. Low Power Electron. Mark Hempstead, Michael J. Lyons, David M. Brooks, Gu-Yeon Wei
2008	C	`conf`	System design considerations for sensor network applications. ISCAS Mark Hempstead, Gu-Yeon Wei, David M. Brooks
2008	A*	`conf`	System level analysis of fast, per-core DVFS using on-chip switching regulators. HPCA Wonyoung Kim, Meeta Sharma Gupta, Gu-Yeon Wei, David M. Brooks
2007	B	`conf`	A Bit-Node Centric Architecture for Low-Density Parity-Check Decoders. GLOBECOM Ruwan N. S. Ratnayake, Erich F. Haratsch, Gu-Yeon Wei
2007	—	`conf`	A Comprehensive Phase-Transfer Model for Delay-Locked Loops. CICC James R. Burnham, Gu-Yeon Wei, Chih-Kong Ken Yang, Haitham A. Hindi
2007	—	`conf`	A High-Throughput Maximum a posteriori Probability Detector. CICC Ruwan N. S. Ratnayake, Aleksandar Kavcic, Gu-Yeon Wei
2007	—	`conf`	Digitally-Enhanced Phase-Locking Circuits. CICC Pavan Kumar Hanumolu, Gu-Yeon Wei, Un-Ku Moon, Kartikeya Mayaram
2007	A*	`conf`	Process Variation Tolerant 3T1D-Based Cache Architectures. MICRO Xiaoyao Liang, Ramon Canal, Gu-Yeon Wei, David M. Brooks
2007	B	`conf`	Serial Sum-Product Architecture for Low-Density Parity-Check Codes. ICCCN Ruwan N. S. Ratnayake, Erich F. Haratsch, Gu-Yeon Wei
2007	A	`conf`	Towards a software approach to mitigate voltage emergencies. ISLPED Meeta Sharma Gupta, Krishna K. Rangan, Michael D. Smith, Gu-Yeon Wei, David M. Brooks
2007	A	`conf`	Understanding voltage variations in chip multiprocessors using a distributed power-delivery network. DATE Meeta Sharma Gupta, Jarod L. Oatley, Russ Joseph, Gu-Yeon Wei, David M. Brooks
2006	—	`conf`	A 1.6Gbps Digital Clock and Data Recovery Circuit. CICC Pavan Kumar Hanumolu, Min-Gyu Kim, Gu-Yeon Wei, Un-Ku Moon
2006	—	`conf`	Adaptive-Bandwidth Mixing PLL/DLL Based Multi-Phase Clock Generator for Optimal Jitter Performance. CICC Amber Han-Yuan Tan, Gu-Yeon Wei
2006	Misc	`conf`	Architecture and circuit techniques for low-throughput, energy-constrained systems across technology generations. CASES Mark Hempstead, Gu-Yeon Wei, David M. Brooks
2006	—	`conf`	Phase Mismatch Detection and Compensation for PLL/DLL Based Multi-Phase Clock Generator. CICC Amber Han-Yuan Tan, Gu-Yeon Wei
2006	—	`conf`	Pulsenet - A Parallel Flash Sampler and Digital Processor IC for Optical SETI. CICC Andrew W. Howard, Gu-Yeon Wei, William J. Dally, Paul Horowitz
2006	—	`conf`	System-on-Chip Architecture Design for Intelligent Sensor Networks. IIH-MSP Wai-Chi Fang, Sharon Kedar, Susan Owen, Gu-Yeon Wei, David M. Brooks, Jonathan Lees
2005	A*	`conf`	An Ultra Low Power System Architecture for Sensor Network Applications. ISCA Mark Hempstead, Nikhil Tripathi, Patrick Mauro, Gu-Yeon Wei, David M. Brooks
2005	A*	`conf`	Exploring the Design Space of Power-Aware Opto-Electronic Networked Systems. HPCA Xuning Chen, Li-Shiuan Peh, Gu-Yeon Wei, Yue-Kai Huang, Paul R. Prucnal
2004	—	`conf`	A mixed PLL/DLL architecture for low jitter clock generation. ISCAS (4) Yong-Cheol Bae, Gu-Yeon Wei
2004	—	`conf`	Jitter in high-speed serial and parallel links. ISCAS (4) Pavan Kumar Hanumolu, Bryan Casper, Randy Mooney, Gu-Yeon Wei, Un-Ku Moon
2004	—	`conf`	Pipelined parallel architecture for high throughput MAP detectors. ISCAS (2) Ruwan N. S. Ratnayake, Gu-Yeon Wei, Aleksandar Kavcic
2003	J	`jnl`	An adaptive PAM-4 5-Gb/s backplane transceiver in 0.25-μm CMOS. IEEE J. Solid State Circuits John T. Stonick, Gu-Yeon Wei, Jeff L. Sonntag, Daniel Weinlader
2003	J	`jnl`	Analysis of PLL clock jitter in high-speed serial links. IEEE Trans. Circuits Syst. II Express Briefs Pavan Kumar Hanumolu, Bryan Casper, Randy Mooney, Gu-Yeon Wei, Un-Ku Moon
2003	J	`jnl`	Design of CMOS adaptive-bandwidth PLL/DLLs: a general approach. IEEE Trans. Circuits Syst. II Express Briefs Jaeha Kim, Mark A. Horowitz, Gu-Yeon Wei
2003	J	`jnl`	Guest editorial. IEEE Trans. Circuits Syst. II Express Briefs Michael H. Perrott, Gu-Yeon Wei
2002	—	`conf`	An adaptive PAM-4 5 Gb/s backplane transceiver in 0.25 μm CMOS. CICC Jeff L. Sonntag, John T. Stonick, James Gorecki, Bill Beale, Bill Check, Xue-Mei Gong, Joe Guiliano, Kyong Lee, Bob Lefferts, David A. Yokoyama-Martin, Un-Ku Moon, Amber Sengir, Stephen Titus, Gu-Yeon Wei, Daniel Weinlader, Yaohua Yang
2000	J	`jnl`	A variable-frequency parallel I/O interface with adaptive power-supply regulation. IEEE J. Solid State Circuits Gu-Yeon Wei, Jaeha Kim, Dean Liu, Stefanos Sidiropoulos, Mark A. Horowitz
1999	J	`jnl`	A fully digital, energy-efficient, adaptive power-supply regulator. IEEE J. Solid State Circuits Gu-Yeon Wei, Mark Horowitz
1996	A	`conf`	A low power switching power supply for self-clocked systems. ISLPED Gu-Yeon Wei, Mark Horowitz