Xuehai Qian

According to our database, Xuehai Qian authored at least 104 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems.

Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian

CoRR, 2024

Guser: A GPGPU Power Stressmark Generator.

Yalong Shan, Yongkui Yang, Xuehai Qian, Zhibin Yu

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs.

Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen

IEEE Trans. Computers, March, 2023

RDMA-Enabled Concurrency Control Protocols for Transactions in the Cloud Era.

Chao Wang, Xuehai Qian

IEEE Trans. Cloud Comput., 2023

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.

Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han

CoRR, 2023

GNNPipe: Accelerating Distributed Full-Graph GNN Training with Pipelined Model Parallelism.

Jingji Chen, Zhuoming Chen, Xuehai Qian

CoRR, 2023

Hybrid Gate-Pulse Model for Variational Quantum Algorithms.

Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Achieving Sub-second Pairwise Query over Evolving Graphs.

Hongtao Chen, Mingxing Zhang, Ke Yang, Kang Chen, Albert Y. Zomaya, Yongwei Wu, Xuehai Qian

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine.

Jingji Chen, Xuehai Qian

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

DecoMine: A Compilation-Based Graph Pattern Mining System with Pattern Decomposition.

Jingji Chen, Xuehai Qian

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems.

Jidong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen, Weimin Zheng

IEEE Trans. Parallel Distributed Syst., 2022

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?

Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.

Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SOCA-DOM: A Mobile System-on-Chip Array System for Analyzing Big Data on the Move.

Le-Le Li, Jiang-Yi Liu, Jianping Fan, Xuehai Qian, Kai Hwang, Yeh-Ching Chung, Zhibin Yu

J. Comput. Sci. Technol., 2022

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation.

Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han

CoRR, 2022

TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits.

Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian

CoRR, 2022

PAN: Pulse Ansatz on NISQ Machines.

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian

CoRR, 2022

Variational Quantum Pulse Learning.

Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

HyBP: Hybrid Isolation-Randomization Secure Branch Predictor.

Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Xuehai Qian, Lixin Zhang, Dan Meng

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

SparseCore: stream ISA and processor specialization for sparse computation.

Gengyu Rao, Jingji Chen, Jason Yik, Xuehai Qian

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

A Fast Lock for Explicit Message Passing Architectures.

Xiongchao Tang, Chen Zhang, Jidong Zhai, Xuehai Qian, Wenguang Chen, Yong Jiang

IEEE Trans. Computers, 2021

3-D Partitioning for Large-Scale Graph Processing.

Xue Li, Mingxing Zhang, Kang Chen, Yongwei Wu, Xuehai Qian, Weimin Zheng

IEEE Trans. Computers, 2021

Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine.

Jingji Chen, Xuehai Qian

CoRR, 2021

Graph processing and machine learning architectures with emerging memory technologies: a survey.

Xuehai Qian

Sci. China Inf. Sci., 2021

ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition.

Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator.

Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation.

Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator.

Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.

Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

A Lightweight Isolation Mechanism for Secure Branch Predictors.

Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Lixin Zhang, Xuehai Qian, Dan Meng

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

iCELIA: A Full-Stack Framework for STT-MRAM-Based Deep Learning Acceleration.

Hao Yan, Hebin R. Cherian, Ethan C. Ahn, Xuehai Qian, Lide Duan

IEEE Trans. Parallel Distributed Syst., 2020

Efficient Performance Estimation and Work-Group Size Pruning for OpenCL Kernels on GPUs.

Xiebing Wang, Xuehai Qian, Alois C. Knoll, Kai Huang

IEEE Trans. Parallel Distributed Syst., 2020

Guest Editors' Introduction to the Special Issue on Machine Learning Architectures and Accelerators.

Xuehai Qian, Yanzhi Wang, Avinash Karanth

IEEE Trans. Computers, 2020

IntersectX: An Accelerator for Graph Mining.

Gengyu Rao, Jingji Chen, Xuehai Qian

CoRR, 2020

Low-Cost Floating-Point Processing in ReRAM for Scientific Computing.

Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen

CoRR, 2020

DwarvesGraph: A High-Performance Graph Mining System with Pattern Decomposition.

Jingji Chen, Xuehai Qian

CoRR, 2020

ReversiSpec: Reversible Coherence Protocol for Defending Transient Attacks.

You Wu, Xuehai Qian

CoRR, 2020

A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols.

Chao Wang, Kezhao Huang, Xuehai Qian

CoRR, 2020

SympleGraph: distributed graph processing with precise loop-carried dependency guarantee.

Youwei Zhuo, Jingji Chen, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian

Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

AccQOC: Accelerating Quantum Optimal Control Based Pulse Generation.

Jinglei Cheng, Haoqing Deng, Xuehai Qian

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators.

Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

TUPIM: A Transparent and Universal Processing-in-Memory Architecture for Unmodified Binaries.

Sheng Xu, Xiaoming Chen, Xuehai Qian, Yinhe Han

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks.

Xingbin Wang, Rui Hou, Boyan Zhao, Fengkai Yuan, Jun Zhang, Dan Meng, Xuehai Qian

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

Capuchin: Tensor-based GPU Memory Management for Deep Learning.

Xuan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.

Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

AsymNVM: An Efficient Framework for Implementing Persistent Data Structures on Asymmetric NVM Architecture.

Teng Ma, Mingxing Zhang, Kang Chen, Zhuo Song, Yongwei Wu, Xuehai Qian

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training.

Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Clip: A Disk I/O Focused Parallel Out-of-Core Graph Processing System.

Zhiyuan Ai, Mingxing Zhang, Yongwei Wu, Xuehai Qian, Kang Chen, Weimin Zheng

IEEE Trans. Parallel Distributed Syst., 2019

Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee.

Youwei Zhuo, Jingji Chen, Gengyu Rao, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian

ACM Trans. Comput. Syst., 2019

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks.

Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Heterogeneity-Aware Asynchronous Decentralized Training.

Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian

CoRR, 2019

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology.

Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang

CoRR, 2019

Non-structured DNN Weight Pruning Considered Harmful.

Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma

CoRR, 2019

ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell.

Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen

CCF Trans. High Perform. Comput., 2019

PIMSim: A Flexible and Detailed Processing-in-Memory Simulator.

Sheng Xu, Xiaoming Chen, Ying Wang, Yinhe Han, Xuehai Qian, Xiaowei Li

IEEE Comput. Archit. Lett., 2019

GraphQ: Scalable PIM-Based Graph Processing.

Youwei Zhuo, Chao Wang, Mingxing Zhang, Rui Wang, Dimin Niu, Yanzhi Wang, Xuehai Qian

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels.

Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian

Proceedings of the 46th International Symposium on Computer Architecture, 2019

TIE: energy-efficient tensor train-based inference engine for deep neural network.

Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhongfeng Wang, Bo Yuan

Proceedings of the 46th International Symposium on Computer Architecture, 2019

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology.

Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang

Proceedings of the 46th International Symposium on Computer Architecture, 2019

SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation.

Yimin Jiang, Yong Cui, Wenfei Wu, Zhe Xu, Jiahan Gu, K. K. Ramakrishnan, Yongchao He, Xuehai Qian

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Hybrid Framework for Fast and Accurate GPU Performance Estimation through Source-Level Analysis and Trace-Based Simulation.

Xiebing Wang, Kai Huang, Alois C. Knoll, Xuehai Qian

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array.

Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs.

Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

pLock: A Fast Lock for Architectures with Explicit Inter-core Message Passing.

Xiongchao Tang, Jidong Zhai, Xuehai Qian, Wenguang Chen

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers.

Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

Hop: Heterogeneity-aware Decentralized Training.

Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

DudeTx: Durable Transactions Made Decoupled.

Mengxing Liu, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren

ACM Trans. Storage, 2018

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers.

Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang

CoRR, 2018

An Efficient Framework for Implementing Persist Data Structures on Remote NVM.

Teng Ma, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu

CoRR, 2018

vSensor: leveraging fixed-workload snippets of programs for performance variance detection.

Xiongchao Tang, Jidong Zhai, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

CSE: Parallel Finite State Machines with Convergence Set Enumeration.

Youwei Zhuo, Jinglei Cheng, Qinyi Luo, Jidong Zhai, Yanzhi Wang, Zhongzhi Luan, Xuehai Qian

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

CounterMiner: Mining Big Performance Data from Hardware Counters.

Yirong Lv, Bin Sun, Qingyi Luo, Jing Wang, Zhibin Yu, Xuehai Qian

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices.

Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

GraphP: Reducing Communication for PIM-Based Graph Processing with Efficient Data Partition.

Mingxing Zhang, Youwei Zhuo, Chao Wang, Mingyu Gao, Yongwei Wu, Kang Chen, Christos Kozyrakis, Xuehai Qian

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

G-TSC: Timestamp Based Coherence for GPUs.

Abdulaziz Tabbakh, Xuehai Qian, Murali Annavaram

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

GraphR: Accelerating Graph Processing Using ReRAM.

Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

ReRAM-based accelerator for deep learning.

Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System.

Mingxing Zhang, Yongwei Wu, Youwei Zhuo, Xuehai Qian, Chengying Huan, Kang Chen

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing.

Zhibin Yu, Zhendong Bei, Xuehai Qian

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

VIBNN: Hardware Acceleration of Bayesian Neural Networks.

Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems.

Xiaoxiao Liu, Wei Wen, Xuehai Qian, Hai Li, Yiran Chen

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.

Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices.

Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan

CoRR, 2017

Squeezing out All the Value of Loaded Data: An Out-of-core Graph Processing System with Reduced Disk I/O.

Zhiyuan Ai, Mingxing Zhang, Yongwei Wu, Xuehai Qian, Kang Chen, Weimin Zheng

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.

Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Power Efficient Sharing-Aware GPU Data Management.

Abdulaziz Tabbakh, Murali Annavaram, Xuehai Qian

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning.

Linghao Song, Xuehai Qian, Hai Li, Yiran Chen

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing.

Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan

Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017

DudeTM: Building Durable Transactions with Decoupling for Persistent Memory.

Mengxing Liu, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren

Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017

2016

OPR: deterministic group replay for one-sided communication.

Xuehai Qian, Koushik Sen, Paul Hargrove, Costin Iancu

Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

Exploring the Hidden Dimension in Graph Processing.

Mingxing Zhang, Yongwei Wu, Kang Chen, Xuehai Qian, Xue Li, Weimin Zheng

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

SReplay: Deterministic Sub-Group Replay for One-Sided Communication.

Xuehai Qian, Koushik Sen, Paul Hargrove, Costin Iancu

Proceedings of the 2016 International Conference on Supercomputing, 2016

2015

Improving multiprocessor performance with fine-grain coherence bypass.

Hui Wang, Rui Wang, Zhongzhi Luan, Xuehai Qian, Depei Qian

Sci. China Inf. Sci., 2015

2014

OmniOrder: Directory-based conflict serialization of transactions.

Xuehai Qian, Benjamín Sahelices, Josep Torrellas

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Pacifier: Record and replay for relaxed-consistency multiprocessors with distributed directory protocol.

Xuehai Qian, Benjamín Sahelices, Depei Qian

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

2013

Scalable and flexible bulk architecture

Xuehai Qian

PhD thesis, 2013

BulkCommit: scalable and fast commit of atomic blocks in a lazy multiprocessor environment.

Xuehai Qian, Josep Torrellas, Benjamín Sahelices, Depei Qian

Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture, 2013

Rainbow: Efficient memory dependence recording with high replay parallelism for relaxed memory model.

Xuehai Qian, He Huang, Benjamín Sahelices, Depei Qian

Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013

Volition: scalable and precise sequential consistency violation detection.

Xuehai Qian, Josep Torrellas, Benjamín Sahelices, Depei Qian

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013

2012

BulkSMT: Designing SMT processors for atomic-block execution.

Xuehai Qian, Benjamín Sahelices, Josep Torrellas

Proceedings of the 18th IEEE International Symposium on High Performance Computer Architecture, 2012

2010

ScalableBulk: Scalable Cache Coherence for Atomic Blocks in a Lazy Environment.

Xuehai Qian, Wonsun Ahn, Josep Torrellas

Proceedings of the 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 2010

2007

Design and Implementation of Floating Point Stack on General RISC Architecture.

Xuehai Qian, He Huang, Hao Zhang, Guoping Long, Junchao Zhang, Dongrui Fan

Proceedings of the 15th Euromicro International Conference on Parallel, 2007

Circuit implementation of floating point range reduction for trigonometric functions.

Xuehai Qian, Hao Zhang, Jingang Yang, He Huang, Junchao Zhang, Dongrui Fan

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Optimized Register Renaming Scheme for Stack-Based x86 Operations.

Xuehai Qian, He Huang, Zhenzhong Duan, Junchao Zhang, Nan Yuan, Yongbin Zhou, Hao Zhang, Huimin Cui, Dongrui Fan

Proceedings of the Architecture of Computing Systems, 2007