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Hongyang Jia
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2020 – today
- 2024
- [j10]Guodong Yin
, Yiming Chen
Cramming More Weight Data Onto Compute-in-Memory Macros for High Task-Level Energy Efficiency Using Custom ROM With 3984-kb/mm2 Density in 65-nm CMOS. IEEE J. Solid State Circuits 59(6): 1912-1925 (2024) - [j9]Tongda Wu
A Heterogeneous Microprocessor for Intermittent AI Inference Using Nonvolatile-SRAM-Based Compute-In-Memory. IEEE Trans. Circuits Syst. II Express Briefs 71(11): 4753-4757 (2024) - [c13]Guodong Yin, Yiming Chen, Mingyen Lee, Xirui Du, Yue Ke, Wenjun Tang, Zhonghao Chen, Mufeng Zhou, Jinshan Yue, Huazhong Yang, Hongyang Jia, Yongpan Liu, Xueqing Li:
A 28nm 8928Kb/mm2-Weight-Density Hybrid SRAM/ROM Compute-in-Memory Architecture Reducing >95% Weight Loading from DRAM. CICC 2024: 1-2 - [c12]Yuanfan Xu
Invited: Automatic Hardware/Software Design for High-Speed Autonomous Unmanned Aerial Vehicles Guided by a Flight Model. DAC 2024: 368:1-368:4 - [c11]Zhenyu Guan, Yongqing Zhu, Yicheng Huang, Luchang Lei, Xueyan Wang, Hongyang Jia, Yi Chen, Bo Zhang, Jin Dong, Song Bian:
ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration. DATE 2024: 1-6 - [c10]Yifan He, Shupei Fan, Xuan Li, Luchang Lei, Wenbin Jia, Chen Tang, Yaolei Li, Zongle Huang, Zhike Du, Jinshan Yue, Xueqing Li, Huazhong Yang, Hongyang Jia, Yongpan Liu:
34.7 A 28nm 2.4Mb/mm2 6.9 - 16.3TOPS/mm2 eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing. ISSCC 2024: 578-580 - [c9]Liu He, Yujin Wang, Zongle Huang, Shupei Fan, Chen Tang, Shuyuan Zhang, Luchang Lei, Huazhong Yang, Yongpan Liu, Hongyang Jia:
Exploring Approximation and Dataflow Co-Optimization for Scalable Transformer Inference Architecture on the Edge. SOCC 2024: 1-6 - [c8]Chen Tang, Xinyuan Lin, Zongle Huang, Wenyu Sun, Hongyang Jia, Yongpan Liu:
A 28nm 4.35TOPS/mm2 Transformer Accelerator with Basis-vector Based Ultra Storage Compression, Decomposed Computation and Unified LUT-Assisted Cores. VLSI Technology and Circuits 2024: 1-2 - 2023
- [j8]Ning Zhang
Data-Driven Security and Stability Rule in High Renewable Penetrated Power System Operation. Proc. IEEE 111(7): 788-805 (2023) - [j7]Yifan He, Jinshan Yue, Xiaoyu Feng
An RRAM-Based Digital Computing-in-Memory Macro With Dynamic Voltage Sense Amplifier and Sparse-Aware Approximate Adder Tree. IEEE Trans. Circuits Syst. II Express Briefs 70(2): 416-420 (2023) - [j6]Songming Yu
A Heterogeneous Microprocessor Based on All-Digital Compute-in-Memory for End-to-End AIoT Inference. IEEE Trans. Circuits Syst. II Express Briefs 70(8): 3099-3103 (2023) - [c7]Yifan He, Haikang Diao, Chen Tang, Wenbin Jia, Xiyuan Tang, Yuan Wang, Jinshan Yue, Xueqing Li, Huazhong Yang, Hongyang Jia, Yongpan Liu:
A 28nm 38-to-102-TOPS/W 8b Multiply-Less Approximate Digital SRAM Compute-In-Memory Macro for Neural-Network Inference. ISSCC 2023: 130-131 - 2022
- [j5]Hongyang Jia
Scalable and Programmable Neural Network Inference Accelerator Based on In-Memory Computing. IEEE J. Solid State Circuits 57(1): 198-211 (2022) - 2021
- [b1]Hongyang Jia:
Designing Computing Systems Based on Unconventional Technologies for Hardware Acceleration. Princeton University, USA, 2021 - [c6]Hongyang Jia, Murat Ozatay
A Programmable Neural-Network Inference Accelerator Based on Scalable In-Memory Computing. ISSCC 2021: 236-238 - 2020
- [j4]Hongyang Jia
A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing. IEEE J. Solid State Circuits 55(9): 2609-2621 (2020) - [j3]Yinqi Tang
Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1576-1587 (2020)
2010 – 2019
- 2019
- [c5]Hongyang Jia, Hossein Valavi, Yinqi Tang, Jintao Zhang, Naveen Verma:
A Programmable Embedded Microprocessor for Bit-scalable In-memory Computing. Hot Chips Symposium 2019: 1-29 - 2018
- [j2]Hongyang Jia
Exploiting Approximate Feature Extraction via Genetic Programming for Hardware Acceleration in a Heterogeneous Microprocessor. IEEE J. Solid State Circuits 53(4): 1016-1027 (2018) - [j1]Jie Lu, Hongyang Jia
Genetic Programming for Energy-Efficient and Energy-Scalable Approximate Feature Computation in Embedded Inference Systems. IEEE Trans. Computers 67(2): 222-236 (2018) - [c4]Murat Ozatay
Artificial intelligence meets large-scale sensing: Using Large-Area Electronics (LAE) to enable intelligent spaces. CICC 2018: 1-8 - [i1]Hongyang Jia, Yinqi Tang, Hossein Valavi, Jintao Zhang, Naveen Verma:
A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing. CoRR abs/1811.04047 (2018) - 2014
- [c3]Hongyang Jia, Patricia F. Brennan, Shiyu Zhou, Junbo Son, Yu-Ting Hung:
Personalizing Statistical Models for Asthma Prognosis and Therapeutics. AMIA 2014 - [c2]Yiqun Wang, Hongyang Jia, Yongpan Liu, Qing'an Li, Chun Jason Xue
Register allocation for hybrid register architecture in nonvolatile processors. ISCAS 2014: 1050-1053 - 2012
- [c1]Yongpan Liu, Yiqun Wang, Hongyang Jia, Shan Su, Jinghuan Wen, Wenzhu Zhang, Lin Zhang, Huazhong Yang:
An energy harvesting nonvolatile sensor node and its application to distributed moving object detection. IPSN 2012: 149-150
Coauthor Index
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