百晓学者学者目录

钱学海

副教授、助理教授、教授,清华大学

精选作品

期刊论文

2026

SRT: Accelerating Reinforcement Learning via Speculative Rollout with Tree-Structured Cache

Chi-Chih Chang, Si-Qi Zhu, Zhi-Chen Zeng, Hai-Bin Lin, Jia-Xuan You, M. S. Abdelfattah, Ziheng Jiang, Xuehai Qian

arXiv.org

2025

GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping

Yikang Yue, Yishu Yin, Xuehai Qian

arXiv.org

2025

Mithril: A Scalable System for Deep GNN Training

Jing-Ji Chen, Zhuo Chen, Xuehai Qian

International Symposium on High-Performance Computer Architecture

2025

Mesh-Attention: A New Communication-Efficient Distributed Attention with Improved Data Locality

Si-Rui Chen, Jing-Ji Chen, Si-Qi Zhu, Ziheng Jiang, Yang-Hua Peng, Xuehai Qian

arXiv.org

2025

CFP: Low-overhead Profiling-based Intra-operator Parallelism Generation by Preserving Communication-Free Structures

Weifang Hu, Xuanhua Shi, Chang Wu, Yun-Kai Zhang, Xuan Peng, Jia-Qi Zhai, Hai-Ci Jin, Yongluan Zhou, Xuehai Qian

arXiv.org

2025

DawnPiper: A Memory-scablable Pipeline Parallel Training Framework

Xuan Peng, Xuanhua Shi, Haolin Zhang, Yunfei Zhao, Xuehai Qian

arXiv.org

2025

Redox: Improving I/O Efficiency of Model Training Through File Redirection

Yuhao Li, Xuanhua Shi, Yunfei Zhao, Yongluan Zhou, Yusheng Hua, Xuehai Qian

2024

FIITED: 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

IEEE transactions on computers

2023

Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design

Zhiding Liang, Jing-Lei Cheng, Rui-Yuan Yang, Hang Ren, Zhixin Song, Diance Wu, Xuehai Qian, Tongyang Li, Yiyu Shi

2023

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

Chao Wang, Xuehai Qian

IEEE Transactions on Cloud Computing

2023

Achieving Sub-second Pairwise Query over Evolving Graphs

Hongtao Chen, Ming-Xing Zhang, Ke Yang, Kang Chen, Albert Y. Zomaya, Yong-Wei Wu, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2023

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

Jing-Ji Chen, Zhuoming Chen, Xuehai Qian

arXiv.org

2023

Fidelity estimator, randomized benchmarking and ZNE for quantum pulses

Jing-Lei Cheng, Zhiding Liang, Rui-Yuan Yang, Hang Ren, Yiyu Shi, Tongyang Li, Xuehai Qian

2023

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

Edward Hanson, Shiyu Li, Xuehai Qian, H. Li, Yi-Ran Chen

IEEE transactions on computers

2023

Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine

Jing-Ji Chen, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2022

NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms

Zhiding Liang, Jing-Lei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, F. Chong, Song Han, Xuehai Qian, Yiyu Shi

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2022

Graph Transformer for Quantum Circuit Reliability Prediction

Hanrui Wang, Pengyu Liu, Jing-Lei Cheng, Zhiding Liang, Jiaqi Gu, Zi-Rui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, F. Chong, Song Han

2022

HyBP: Hybrid Isolation-Randomization Secure Branch Predictor

Lu-Tan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Xuehai Qian, Li-Xin Zhang, Dan Meng

International Symposium on High-Performance Computer Architecture

2022

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

Jing-Ji Chen, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2022

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

Ji-Dong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bing-Sheng He, Wei Xue, Wen-Guang Chen, Weiming Zheng

IEEE Transactions on Parallel and Distributed Systems

2022

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

Jing-Lei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian

arXiv.org

2022

Hybrid Gate-Pulse Model for Variational Quantum Algorithms

Zhiding Liang, Zhixin Song, Jing-Lei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yi-Ru Wang, Song Han, Xuehai Qian, Yiyu Shi

Design Automation Conference

2022

Variational Quantum Pulse Learning

Zhiding Liang, Hanrui Wang, Jing-Lei Cheng, Yongshan Ding, Hang Ren, Zheng-Qi Gao, Zhi-Rui Hu, D. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi

International Conference on Quantum Computing and Engineering

2022

SparseCore: stream ISA and processor specialization for sparse computation

G. Rao, Jing-Ji Chen, Jason Yik, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2021

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

Wei Niu, Z. Li, Xiao-Long Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yan-Zhi Wang, Bin Ren

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021

A Fast Lock for Explicit Message Passing Architectures

Xiongchao Tang, Chen Zhang, Ji-Dong Zhai, Xuehai Qian, Wen-Guang Chen, Yong Jiang

IEEE transactions on computers

2021

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

Shiyu Li, Edward Hanson, Xuehai Qian, H. Li, Yi-Ran Chen

Micro

2021

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

Youwei Zhuo, Jing-Ji Chen, G. Rao, Qinyi Luo, Yan-Zhi Wang, Hailong Yang, D. Qian, Xuehai Qian

ACM Transactions on Computer Systems

2021

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

Geng Yuan, Payman Behnam, Zhengang Li, A. Shafiee, Sheng Lin, Xiao-Long Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yan-Zhi Wang, Caiwen Ding

International Symposium on Computer Architecture

2021

3-D Partitioning for Large-Scale Graph Processing

Xue Li, Ming-Xing Zhang, Kang Chen, Yong-Wei Wu, Xuehai Qian, Wei-Min Zheng

IEEE transactions on computers

2021

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

Xuehai Qian

Science China Information Sciences

2021

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

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

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

International Symposium on Computer Architecture

2020

A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols

Chao Wang, Kezhao Huang, Xuehai Qian

arXiv.org

2020

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

Teng Ma, Ming-Xing Zhang, Kang Chen, Zhuo Song, Yong-Wei Wu, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2020

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

Jing-Ji Chen, Xuehai Qian

arXiv.org

2020

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

Sung-En Chang, Yan-Yu Li, Meng-Shu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yan-Zhi Wang, Xue Lin

International Symposium on High-Performance Computer Architecture

2020

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

Xuehai Qian, Yan-Zhi Wang, Avinash Karanth

IEEE Trans. Computers

2020

DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks

Xing-Bin Wang, Rui Hou, Boyan Zhao, Fengkai Yuan, Jun Zhang, Dan Meng, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2020

RCP: A Low-overhead Reversible Coherence Protocol

You Wu, Xuehai Qian

2020

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

Youwei Zhuo, Jing-Ji Chen, Qinyi Luo, Yan-Zhi Wang, Hailong Yang, D. Qian, Xuehai Qian

ACM-SIGPLAN Symposium on Programming Language Design and Implementation

2020

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

Wei Niu, Xiao-Long Ma, Sheng Lin, Shi-Hao Wang, Xuehai Qian, X. Lin, Yan-Zhi Wang, Bin Ren

International Conference on Architectural Support for Programming Languages and Operating Systems

2020

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

Xiebing Wang, Xuehai Qian, A. Knoll, Kai Huang

IEEE Transactions on Parallel and Distributed Systems

2020

AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators

Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, H. Li, Yi-Ran Chen

International Symposium on High-Performance Computer Architecture

2020

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

Hao Yan, Hebin R. Cherian, Ethan C. Ahn, Xuehai Qian, Li-De Duan

IEEE Transactions on Parallel and Distributed Systems

2020

IntersectX: An Accelerator for Graph Mining

G. Rao, Jing-Ji Chen, Xuehai Qian

arXiv.org

2020

A Lightweight Isolation Mechanism for Secure Branch Predictors

Lu-Tan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Li-Xin Zhang, Xuehai Qian, Dan Meng

Design Automation Conference

2020

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

Linghao Song, Fan Chen, Xuehai Qian, H. Li, Yi-Ran Chen

arXiv.org

2020

ReversiSpec: Reversible Coherence Protocol for Defending Transient Attacks

You Wu, Xuehai Qian

arXiv.org

2020

Capuchin: Tensor-based GPU Memory Management for Deep Learning

Xuan Peng, Xuan-Hua Shi, Hulin Dai, Hai Jin, Wei-Liang Ma, Qian Xiong, Fan Yang, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2020

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

Sheng Xu, Xiaoming Chen, Xuehai Qian, Yin-He Han

ACM Great Lakes Symposium on VLSI

2020

Refloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers

Ling-Hao Song, Fan Chen, Xuehai Qian, H. Li, Yiran Chen

International Conference for High Performance Computing, Networking, Storage and Analysis

2020

Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training

Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2019

面向图计算的内存系统优化技术综述

王靖,张路,王鹏宇,徐嘉鸿,李超,朱浩瑾,钱学海,过敏意

《中国科学:信息科学》

2019

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

Xiao-Long Ma, Sheng Lin, Shao-Kai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, S. Tan, Z. Li, Deliang Fan, Xuehai Qian, X. Lin, Kaisheng Ma, Yan-Zhi Wang

IEEE Transactions on Neural Networks and Learning Systems

2019

Memory system optimization for graph processing: a survey

Jing Wang, Lu Zhang, Peng-Yu Wang, Jia-Hong Xu, C. Li, Haojin Zhu, Xuehai Qian, M. Guo

Scientia Sinica Informationis

2019

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

Xiongchao Tang, Ji-Dong Zhai, Xuehai Qian, Wen-Guang Chen

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

International Conference on Architectural Support for Programming Languages and Operating Systems

2019

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

Zhiyuan Ai, Ming-Xing Zhang, Yong-Wei Wu, Xuehai Qian, Kang Chen, Wei-Min Zheng

IEEE Transactions on Parallel and Distributed Systems

2019

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

Sheng Xu, Xiaoming Chen, Ying Wang, Yin-He Han, Xuehai Qian, Xiaowei Li

IEEE computer architecture letters

2019

Non-structured DNN Weight Pruning Considered Harmful

Yan-Zhi Wang, Shao-Kai Ye, Zhezhi He, Xiao-Long Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, S. Tan, Z. Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma

arXiv.org

2019

GraphQ: Scalable PIM-Based Graph Processing

Youwei Zhuo, Chao Wang, Ming-Xing Zhang, Rui Wang, Dimin Niu, Yan-Zhi Wang, Xuehai Qian

Micro

2019

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

Yi-Min Jiang, Yong Cui, Wen-Fei Wu, Zhe Xu, Jiahan Gu, K. K. Ramakrishnan, Yongchao He, Xuehai Qian

IEEE International Conference on Distributed Computing Systems

2019

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

Zhe Li, Ji Li, Ao Ren, R. Cai, Caiwen Ding, Xuehai Qian, J. Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yan-Zhi Wang

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

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

International Symposium on Computer Architecture

2019

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron Superconducting Technology

R. Cai, Ao Ren, O. Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, W. Luo, N. Yoshikawa, Yan-Zhi Wang

International Symposium on Computer Architecture

2019

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

Linghao Song, You Wu, Xuehai Qian, H. Li, Yi-Ran Chen

CCF Transactions on High Performance Computing

2019

HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array

Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yi-Ran Chen

International Symposium on High-Performance Computer Architecture

2019

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

Xiebing Wang, Kai Huang, A. Knoll, Xuehai Qian

International Symposium on High-Performance Computer Architecture

2019

TIE: Energy-efficient Tensor Train-based Inference Engine for Deep Neural Network

Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhong-Feng Wang, Bo Yuan

International Symposium on Computer Architecture

2018

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

Yan-Zhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiao-Long Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, X. Lin

AAAI Conference on Artificial Intelligence

2018

VIBNN: Hardware Acceleration of Bayesian Neural Networks

R. Cai, Ao Ren, Ning Liu, Caiwen Ding, Lu-Hao Wang, Xuehai Qian, Massoud Pedram, Yan-Zhi Wang

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, W. Wen, Xuehai Qian, Hai Helen Li, Yi-Ran Chen

Asia and South Pacific Design Automation Conference

2018

ReRAM-based accelerator for deep learning

Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yi-Ran Chen, H. Li

Design, Automation and Test in Europe

2018

A Case for Asymmetric Non-Volatile Memory Architecture

Teng Ma, Ming-Xing Zhang, Kang Chen, Xuehai Qian, Yong-Wei Wu

2018

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

Ming-Xing Zhang, Yong-Wei Wu, Youwei Zhuo, Xuehai Qian, Cheng-Ying Huan, Kang Chen

International Conference on Architectural Support for Programming Languages and Operating Systems

2018

An Efficient Framework for Implementing Persist Data Structures on Remote NVM

Teng Ma, Ming-Xing Zhang, Kang Chen, Xuehai Qian, Yong-Wei Wu

arXiv.org

2018

DudeTx

Mengxing Liu, Ming-Xing Zhang, Kang Chen, Xuehai Qian, Yong-Wei Wu, Wei-Min Zheng, Jinglei Ren

ACM Transactions on Storage

2018

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

Xiongchao Tang, Ji-Dong Zhai, Xuehai Qian, Bing-Sheng He, Wei Xue, Wen-Guang Chen

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming

2018

PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices

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

Micro

2018

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

Ming-Xing Zhang, Youwei Zhuo, Chao Wang, Mingyu Gao, Yong-Wei Wu, Kang Chen, Christos Kozyrakis, Xuehai Qian

International Symposium on High-Performance Computer Architecture

2018

CSE: Parallel Finite State Machines with Convergence Set Enumeration

Youwei Zhuo, Jing-Lei Cheng, Qinyi Luo, Ji-Dong Zhai, Yan-Zhi Wang, Zhong-Zhi Luan, Xuehai Qian

Micro

2018

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

Zhe Li, Caiwen Ding, Siyue Wang, Wu-Jie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wen-Yao Xu, X. Lin, Xuehai Qian, Yan-Zhi Wang

International Symposium on High-Performance Computer Architecture

2018

CounterMiner: Mining Big Performance Data from Hardware Counters

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

Micro

2018

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

Zhibin Yu, Zhen-Dong Bei, Xuehai Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2018

G-TSC: Timestamp Based Coherence for GPUs

Abdulaziz Tabbakh, Xuehai Qian, M. Annavaram

International Symposium on High-Performance Computer Architecture

2018

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

Ao Ren, Tianyun Zhang, Shao-Kai Ye, Jiayu Li, Wen-Yao Xu, Xuehai Qian, X. Lin, Yan-Zhi Wang

International Conference on Architectural Support for Programming Languages and Operating Systems

2017

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices

Caiwen Ding, Siyu Liao, Yan-Zhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiao-Long Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, X. Lin, Bo Yuan

Micro

2017

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

Zhiyuan Ai, Ming-Xing Zhang, Yong-Wei Wu, Xuehai Qian, Kang Chen, Wei-Min Zheng

USENIX Annual Technical Conference

2017

PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning

Linghao Song, Xuehai Qian, Hai Helen Li, Yi-Ran Chen

International Symposium on High-Performance Computer Architecture

2017

Power Efficient Sharing-Aware GPU Data Management

Abdulaziz Tabbakh, M. Annavaram, Xuehai Qian

IEEE International Parallel and Distributed Processing Symposium

2017

DudeTM: Building Durable Transactions with Decoupling for Persistent Memory

Mengxing Liu, Ming-Xing Zhang, Kang Chen, Xuehai Qian, Yong-Wei Wu, Wei-Min Zheng, Jinglei Ren

International Conference on Architectural Support for Programming Languages and Operating Systems

2017

GraphR: Accelerating Graph Processing Using ReRAM

Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yi-Ran Chen

International Symposium on High-Performance Computer Architecture

2017

DudeTM

Mengxing Liu, Ming-Xing Zhang, Kang Chen, Xuehai Qian, Yong-Wei Wu, Wei-Min Zheng, Jinglei Ren

2016

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

Xuehai Qian, Koushik Sen, Paul H. Hargrove, Costin Iancu

International Conference on Supercomputing

2016

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

Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yan-Zhi Wang, Ji Li, Xuehai Qian, Bo Yuan

International Conference on Architectural Support for Programming Languages and Operating Systems

2016

OPR: deterministic group replay for one-sided communication

Xuehai Qian, Koushik Sen, Paul H. Hargrove, Costin Iancu

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming

2014

OmniOrder: Directory-based conflict serialization of transactions

Xuehai Qian, Benjamín Sahelices, J. Torrellas

International Symposium on Computer Architecture

2014

Improving multiprocessor performance with fine-grain coherence bypass

Hui Wang, Rui Wang, Zhong-Zhi Luan, Xuehai Qian, D. Qian

Science China Information Sciences

2014

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

Xuehai Qian, Benjamín Sahelices, D. Qian

International Symposium on Computer Architecture

2013

Volition: scalable and precise sequential consistency violation detection

Xuehai Qian, J. Torrellas, Benjamín Sahelices, D. Qian

International Conference on Architectural Support for Programming Languages and Operating Systems

2013

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

Xuehai Qian, He Huang, Benjamín Sahelices, D. Qian

International Symposium on High-Performance Computer Architecture

2013

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

Xuehai Qian, J. Torrellas, Benjamín Sahelices, D. Qian

Micro

2012

BulkSMT: Designing SMT processors for atomic-block execution

Xuehai Qian, Benjamín Sahelices, J. Torrellas

IEEE International Symposium on High-Performance Comp Architecture

2010

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

Xuehai Qian, Wonsun Ahn, J. Torrellas

Micro

2008

自修改代码在Godson-X上的处理实现

张浩,钱学海

《计算机工程》

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