Xin He

33 papers A* 4A 7B 2C 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
DAP: A 507-GMACs/J 256-Core Domain Adaptive Processor for Wireless Communication and Linear Algebra Kernels in 12-nm FINFET.
IEEE J. Solid State Circuits
Kuan-Yu Chen, Chi-Sheng Yang, Yu-Hsiu Sun, Chien-Wei Tseng, Morteza Fayazi, Xin He, Siying Feng, Yufan Yue, Trevor N. Mudge, Ronald G. Dreslinski, Hun-Seok Kim, David T. Blaauw
2023 A conf
PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows.
DATE
Yuhan Chen, Alireza Khadem, Xin He, Nishil Talati, Tanvir Ahmed Khan, Trevor N. Mudge
2022 — conf
A 507 GMACs/J 256-Core Domain Adaptive Systolic-Array-Processor for Wireless Communication and Linear-Algebra Kernels in 12nm FINFET.
VLSI Technology and Circuits
Kuan-Yu Chen, Chi-Sheng Yang, Yu-Hsiu Sun, Chien-Wei Tseng, Morteza Fayazi, Xin He, Siying Feng, Yufan Yue, Trevor N. Mudge, Ronald G. Dreslinski, Hun-Seok Kim, David T. Blaauw
2022 C conf
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor.
ISCAS
Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, Ilkin Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, Ming-Hung Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Yukang Fu, A. Alper Goksoy, Xin He, Md Sahil Hassan, Andrew Herschfelt, Jacob Holtom, Hun-Seok Kim, A. N. Krishnakumar, Yang Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, Brittany M. McCall, Trevor N. Mudge, Ümit Y. Ogras, Vishrut Pandey, Saquib Ahmad Siddiqui, Yu-Hsiu Sun, Adarsh A. Venkataramani, Xiangdong Wei, B. R. Willis, Hanguang Yu, Yufan Yue
2022 A* conf
MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows.
ISCA
Siying Feng, Xin He, Kuan-Yu Chen, Liu Ke, Xuan Zhang, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski
2022 B conf
Squaring the circle: Executing Sparse Matrix Computations on FlexTPU - A TPU-Like Processor.
PACT
Xin He, Kuan-Yu Chen, Siying Feng, Hun-Seok Kim, David T. Blaauw, Ronald G. Dreslinski, Trevor N. Mudge
2021 A* conf
CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics.
DAC
Siying Feng, Jiawen Sun, Subhankar Pal, Xin He, Kuba Kaszyk, Dong-Hyeon Park, John Magnus Morton, Trevor N. Mudge, Murray Cole, Michael F. P. O'Boyle, Chaitali Chakrabarti, Ronald G. Dreslinski
2021 J jnl
System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System.
ACM Trans. Archit. Code Optim.
An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang
2020 J jnl
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks.
IEEE Des. Test
Xin He, Guihai Yan, Wenyan Lu, Xuan Zhang, Liu Ke
2020 J jnl
Attacking vision-based perception in end-to-end autonomous driving models.
J. Syst. Archit.
Adith Boloor, Karthik Garimella, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang
2020 — conf
CoPTA: Contiguous Pattern Speculating TLB Architecture.
SAMOS
Yichen Yang, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski
2020 J jnl
NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
2020 A conf
Sparse-TPU: adapting systolic arrays for sparse matrices.
ICS
Xin He, Subhankar Pal, Aporva Amarnath, Siying Feng, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Kuan-Yu Chen, Ronald G. Dreslinski, Trevor N. Mudge
2020 B conf
Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration.
PACT
Subhankar Pal, Siying Feng, Dong-Hyeon Park, Sung Kim, Aporva Amarnath, Chi-Sheng Yang, Xin He, Jonathan Beaumont, Kyle May, Yan Xiong, Kuba Kaszyk, John Magnus Morton, Jiawen Sun, Michael F. P. O'Boyle, Murray Cole, Chaitali Chakrabarti, David T. Blaauw, Hun-Seok Kim, Trevor N. Mudge, Ronald G. Dreslinski
2020 J jnl
Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang
2019 J jnl
Attacking Vision-based Perception in End-to-End Autonomous Driving Models.
CoRR
Adith Boloor, Karthik Garimella, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang
2019 A conf
NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support.
DATE
Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
2019 — conf
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models.
ICESS
Adith Boloor, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang
2019 J jnl
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models.
CoRR
Adith Boloor, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang
2019 A conf
SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network.
FPGA
Xin He, Liu Ke, Xuan Zhang
2018 A conf
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference.
ISLPED
Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang
2018 J jnl
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference.
CoRR
Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang
2018 J jnl
CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency.
J. Comput. Sci. Technol.
Faqiang Sun, Guihai Yan, Xin He, Huawei Li, Yinhe Han
2018 A* conf
Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators.
DAC
An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang
2018 J jnl
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Xin He, Wenyan Lu, Guihai Yan, Xuan Zhang
2018 A conf
NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators.
ISLPED
Liu Ke, Xin He, Xuan Zhang
2018 — conf
RiskCap: Minimizing Effort of Error Regulation for Approximate Computing.
ATS
Shuhao Jiang, Jiajun Li, Xin He, Guihai Yan, Xuan Zhang, Xiaowei Li
2018 A* conf
Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs.
MICRO
An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang
2017 — conf
ApproxEye: Enabling approximate computation reuse for microrobotic computer vision.
ASP-DAC
Xin He, Guihai Yan, Faqiang Sun, Yinhe Han, Xiaowei Li
2017 J jnl
Exploiting the Potential of Computation Reuse Through Approximate Computing.
IEEE Trans. Multi Scale Comput. Syst.
Xin He, Shuhao Jiang, Wenyan Lu, Guihai Yan, Yinhe Han, Xiaowei Li
2016 — conf
ACR: Enabling computation reuse for approximate computing.
ASP-DAC
Xin He, Guihai Yan, Yinhe Han, Xiaowei Li
2016 J jnl
Wide Operational Range Processor Power Delivery Design for Both Super-Threshold Voltage and Near-Threshold Voltage Computing.
J. Comput. Sci. Technol.
Xin He, Guihai Yan, Yinhe Han, Xiaowei Li
2014 A conf
SuperRange: Wide operational range power delivery design for both STV and NTV computing.
DATE
Xin He, Guihai Yan, Yinhe Han, Xiaowei Li