En-Yu Yang

16 papers A* 2A 1Journal 7Unranked 6
YearRankTypeTitle / 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
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
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
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
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
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
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 — 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
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
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
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
2018 — conf
A 65nm 1Mb nonvolatile computing-in-memory ReRAM macro with sub-16ns multiply-and-accumulate for binary DNN AI edge processors.
ISSCC
Wei-Hao Chen, Kai-Xiang Li, Wei-Yu Lin, Kuo-Hsiang Hsu, Pin-Yi Li, Cheng-Han Yang, Cheng-Xin Xue, En-Yu Yang, Yen-Kai Chen, Yun-Sheng Chang, Tzu-Hsiang Hsu, Ya-Chin King, Chorng-Jung Lin, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Meng-Fan Chang
2018 — conf
A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors.
ISSCC
Win-San Khwa, Jia-Jing Chen, Jia-Fang Li, Xin Si, En-Yu Yang, Xiaoyu Sun, Rui Liu, Pai-Yu Chen, Qiang Li, Shimeng Yu, Meng-Fan Chang