Depei Qian

According to our database, Depei Qian authored at least 127 papers between 2013 and 2026.

Collaborative distances:

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

2026

CB-SpMV:A Data Aggregating and Balance Algorithm for Cache-Friendly Block-Based SpMV on GPUs.

Xing Cong, FuKai Sun, Yifan Chen, Chenhao Xie, Yi Liu, Depei Qian

CoRR, May, 2026

AccelSync: Verifying Synchronization Coverage in Accelerator Pipeline Programs.

Hangcheng An, Rui Wang, Depei Qian

CoRR, May, 2026

Exploiting Efficient Mapping and Pipelined Execution for Accelerating SpMV on Tensor Cores.

Kaige Zhang, Hailong Yang, Xin You, Tianyu Feng, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

APERTURE: Algorithm-System Co-optimization for Temporal Graph Network Inference.

Yiqing Wang, Hailong Yang, Enze Yu, Qingxiao Sun, Kejie Ma, Kaige Zhang, Chenhao Xie, Depei Qian

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

ElasGNN: An Elastic Training Framework for Distributed GNN Training.

Siqi Wang, Hailong Yang, Pengbo Wang, Hongliang Cao, Yufan Xu, Xuezhu Wang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

Efficient Temporal Graph Network Training via Unified Redundancy Elimination.

Yiqing Wang, Hailong Yang, Kejie Ma, Enze Yu, Pengbo Wang, Xin You, Qingxiao Sun, Chenhao Xie, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

xGR: Efficient Generative Recommendation Serving at Scale.

Qingxiao Sun, Tongxuan Liu, Shen Zhang, Siyu Wu, Peijun Yang, Haotian Liang, Menxin Li, Xiaolong Ma, Zhiwei Liang, Ziyi Ren, Minchao Zhang, Xinyu Liu, Ke Zhang, Depei Qian, Hailong Yang

CoRR, December, 2025

RLHFSpec: Breaking the Efficiency Bottleneck in RLHF Training via Adaptive Drafting.

Siqi Wang, Hailong Yang, Junjie Zhu, Xuezhu Wang, Yufan Xu, Depei Qian

CoRR, December, 2025

PreTrans: Enabling Efficient CGRA Multi-Task Context Switch Through Config Pre-Mapping and Data Transceiving.

Yufei Yang, Chenhao Xie, Liansheng Liu, Xiyuan Peng, Yu Peng, Hailong Yang, Depei Qian

IEEE Trans. Parallel Distributed Syst., November, 2025

\uline{LO}w-c\uline{O}st yet High-\uline{P}erformant \uline{S}parse Matrix-Matrix Multiplication on Arm SME Architectures.

Kelun Lei, Hailong Yang, Kaige Zhang, Kejie Ma, Yiqing Wang, Xin You, Yufan Xu, Enrique S. Quintana-Orti, Zhongzhi Luan, Yi Liu, Depei Qian

CoRR, November, 2025

PRAGMA: A Profiling-Reasoned Multi-Agent Framework for Automatic Kernel Optimization.

Kelun Lei, Hailong Yang, Huaitao Zhang, Xin You, Kaige Zhang, Zhongzhi Luan, Yi Liu, Depei Qian

CoRR, November, 2025

Sifter: An Efficient Operator Auto-Tuner With Speculative Design Space Exploration for Deep Learning Compiler.

Qianhe Zhao, Rui Wang, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian

IEEE Trans. Computers, October, 2025

Identifying Performance Inefficiencies of Parallel Program With Spatial and Temporal Trace Analysis.

Zhibo Xuan, Xin Sun, Xin You, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian

IEEE Trans. Parallel Distributed Syst., July, 2025

Deep Learning Operators Performance Tuning for Changeable Sized Input Data on Tensor Accelerate Hardware.

Pengyu Mu, Yi Liu, Rui Wang, Guoxiang Liu, Hangcheng An, Qianhe Zhao, Hailong Yang, Chenhao Xie, Zhongzhi Luan, Chunye Gong, Depei Qian

IEEE Trans. Computers, June, 2025

SimTrace: Exploiting Spatial and Temporal Sampling for Large-Scale Performance Analysis.

Zhibo Xuan, Xin You, Tianyu Feng, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian

ACM Trans. Archit. Code Optim., June, 2025

Exploiting Dynamic Regular Patterns in Irregular Programs for Efficient Vectorization.

Kelun Lei, Shaokang Du, Xin You, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian

ACM Trans. Archit. Code Optim., June, 2025

Hotspy: identifying performance hotspot with graph neural network based static analysis.

Da Huo, Xin You, Zhibo Xuan, Hailong Yang, Zhongzhi Luan, Depei Qian

CCF Trans. High Perform. Comput., June, 2025

Towards Efficient LLM Inference via Collective and Adaptive Speculative Decoding.

Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Yufan Xu, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Ruihao Gong, Rui Wang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2025

Zero-Value Code Specialization via Profile-Guided Control Data Flow Analysis.

Shaokang Du, Kelun Lei, Xin You, Hailong Yang, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2025

Exploiting Transformer-Based Static Binary Analysis for Identifying Inefficient Locks.

Zhibo Xuan, Xin You, Hailong Yang, Jingqi Chen, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the Network and Parallel Computing, 2025

LogMoE: Lightweight Expert Mixture for Cross-System Log Anomaly Detection.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Yuchen Wang, Aibin Wang, Hongyu Zhang, Hailong Yang, Depei Qian

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

INSPIRIT: Adaptive Priority-based Task Scheduling for Heterogeneous Hardware.

Yiqing Wang, Hailong Yang, Xiaoyan Liu, Xinyu Yang, Pengbo Wang, Xin You, Qingxiao Sun, Mingzhen Li, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

GNNPerf: Towards Effective Performance Profiling and Analysis Across GNN Frameworks.

Kejie Ma, Hailong Yang, Zizheng Zhang, Xin You, Zhibo Xuan, Qingxiao Sun, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Towards Efficient Instruction Stream Scheduling for Stencil Computation on ARM Processors.

Shanghao Liu, Hailong Yang, Xin You, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

Accelerating Complex Stencil Computations with Adaptive Fusion Strategy.

Siqi Wang, Hailong Yang, Pengbo Wang, Shaokang Du, Yufan Xu, Qingxiao Sun, Xiaoyan Liu, Xuezhu Wang, Xuning Liang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

Efficient Locality-aware Instruction Stream Scheduling for Stencil Computation on ARM Processors.

Shanghao Liu, Hailong Yang, Xin You, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

CB-SpMV: A Data Aggregating and Balance Algorithm for for Cache-Friendly Block-Based SpMV on GPUs.

Xing Cong, FuKai Sun, YiFan Chen, Chenhao Xie, Yi Liu, Depei Qian

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

ESC: Effective Submanifold Convolution using Tensor Cores.

Xuezhu Wang, Hailong Yang, Xin You, Yufan Xu, Xiaoyan Liu, Siqi Wang, Kaige Zhang, Mingzhen Li, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 54th International Conference on Parallel Processing, 2025

OVERT: Orchestrating Vector-Scalar Execution for Efficient SpMV on Modern CPUs.

Kelun Lei, Hailong Yang, Kaige Zhang, Shaokang Du, Marc Casas, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 54th International Conference on Parallel Processing, 2025

Identifying Potential Anomalous Operations in Graph Neural Network Training.

Zhibo Xuan, Hailong Yang, Xin You, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the Advanced Parallel Processing Technologies, 2025

2024

SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang, Depei Qian

IEEE Trans. Knowl. Data Eng., December, 2024

AtRec: Accelerating Recommendation Model Training on CPUs.

Siqi Wang, Tianyu Feng, Hailong Yang, Xin You, Bangduo Chen, Tongxuan Liu, Zhongzhi Luan, Depei Qian

IEEE Trans. Parallel Distributed Syst., June, 2024

Towards optimized tensor code generation for deep learning on sunway many-core processor.

Mingzhen Li, Changxi Liu, Jianjin Liao, Xuegui Zheng, Hailong Yang, Rujun Sun, Jun Xu, Lin Gan, Guangwen Yang, Zhongzhi Luan, Depei Qian

Frontiers Comput. Sci., April, 2024

Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs.

Qingxiao Sun, Yi Liu, Hailong Yang, Zhonghui Jiang, Zhongzhi Luan, Depei Qian

IEEE Trans. Parallel Distributed Syst., January, 2024

ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG.

Jiaxing Qi, Wencong Xiao, Mingzhen Li, Chaojie Yang, Yong Li, Wei Lin, Hailong Yang, Zhongzhi Luan, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2024

FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang, Depei Qian

CoRR, 2024

Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding.

Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Yongjun Bao, Yi Liu, Zhongzhi Luan, Depei Qian

CoRR, 2024

Building a domain-specific compiler for emerging processors with a reusable approach.

Mingzhen Li, Yi Liu, Bangduo Chen, Hailong Yang, Zhongzhi Luan, Depei Qian

Sci. China Inf. Sci., 2024

Gloss: Guiding Large Language Models to Answer Questions from System Logs.

Shaohan Huang, Yi Liu, Jiaxing Qi, Jing Shang, Zhiwen Xiao, Carol J. Fung, Zhihui Wu, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the IEEE International Conference on Software Analysis, 2024

GVARP: Detecting Performance Variance on Large-Scale Heterogeneous Systems.

Xin You, Zhibo Xuan, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2024

Moirae: Generating High-Performance Composite Stencil Programs with Global Optimizations.

Xiaoyan Liu, Xinyu Yang, Kejie Ma, Shanghao Liu, Kaige Zhang, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2024

Tetris: Accelerating Sparse Convolution by Exploiting Memory Reuse on GPU.

Xiaoyan Liu, Xuegui Zheng, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Jigsaw: Accelerating SpMM with Vector Sparsity on Sparse Tensor Core.

Kaige Zhang, Xiaoyan Liu, Hailong Yang, Tianyu Feng, Xinyu Yang, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 53rd International Conference on Parallel Processing, 2024

PRoof: A Comprehensive Hierarchical Profiling Framework for Deep Neural Networks with Roofline Analysis.

Siyu Wu, Hailong Yang, Xin You, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Retrospection on the Performance Analysis Tools for Large-Scale HPC Programs.

Zhibo Xuan, Xin You, Hailong Yang, Mingzhen Li, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 31st IEEE International Conference on High Performance Computing, 2024

2023

HAOTuner: A Hardware Adaptive Operator Auto-Tuner for Dynamic Shape Tensor Compilers.

Pengyu Mu, Yi Liu, Rui Wang, Guoxiang Liu, Zhonghao Sun, Hailong Yang, Zhongzhi Luan, Depei Qian

IEEE Trans. Computers, November, 2023

Adapting combined tiling to stencil optimizations on sunway processor.

Biao Sun, Mingzhen Li, Hailong Yang, Jun Xu, Zhongzhi Luan, Depei Qian

CCF Trans. High Perform. Comput., September, 2023

Input-Aware Sparse Tensor Storage Format Selection for Optimizing MTTKRP.

Hailong Yang, Yi Liu, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

Computer, August, 2023

LogEncoder: Log-Based Contrastive Representation Learning for Anomaly Detection.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang, Hanlu Li, Danfeng Zhu, Depei Qian

IEEE Trans. Netw. Serv. Manag., June, 2023

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection.

Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Carol J. Fung, Hailong Yang, Depei Qian

CoRR, 2023

TrivialSpy: Identifying Software Triviality via Fine-grained and Dataflow-based Value Profiling.

Xin You, Hailong Yang, Kelun Lei, Zhongzhi Luan, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2023

EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs.

Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2023

Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU.

Jianjin Liao, Mingzhen Li, Hailong Yang, Qingxiao Sun, Biao Sun, Jiwei Hao, Tianyu Feng, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Zhongzhi Luan, Depei Qian

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

BiRFIA: Selective Binary Rewriting for Function Interception on ARM.

Kelun Lei, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 37th International Conference on Supercomputing, 2023

Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs.

Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Accelerating Big Data Application by Eliminating Redundancy on Hadoop Cluster.

Kelun Lei, Shaokang Du, Xin You, Zhibo Xuan, Haoran Kong, Hailong Yang, Jing Shang, Zhiwen Xiao, Zhihui Wu, Zhongzhi Luan, Depei Qian

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Efficient Deep Molecular Dynamic Model Training on Heterogeneous System.

Shaokang Du, Xin You, Hailong Yang, Jing Shang, Zhiwen Xiao, Zhihui Wu, Zhongzhi Luan, Depei Qian

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection.

Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Shu Yang, Carol J. Fung, Hailong Yang, Depei Qian, Jing Shang, Zhiwen Xiao, Zhihui Wu

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

VClinic: A Portable and Efficient Framework for Fine-Grained Value Profilers.

Xin You, Hailong Yang, Kelun Lei, Zhongzhi Luan, Depei Qian

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

2022

REVAL: Recommend Which Variables to Log With Pretrained Model and Graph Neural Network.

Shaozhi Dai, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, He Wang, Hailong Yang, Depei Qian

IEEE Trans. Netw. Serv. Manag., December, 2022

Input-Aware Sparse Tensor Storage Format Selection for Optimizing MTTKRP.

Qingxiao Sun, Yi Liu, Hailong Yang, Ming Dun, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

IEEE Trans. Computers, 2022

QoS-aware dynamic resource allocation with improved utilization and energy efficiency on GPU.

Qingxiao Sun, Liu Yi, Hailong Yang, Mingzhen Li, Zhongzhi Luan, Depei Qian

Parallel Comput., 2022

Accelerating the cryo-EM structure determination in RELION on GPU cluster.

Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

Frontiers Comput. Sci., 2022

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU.

Jianjin Liao, Mingzhen Li, Qingxiao Sun, Jiwei Hao, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Hailong Yang, Zhongzhi Luan, Depei Qian

CoRR, 2022

EasyScale: Accuracy-consistent Elastic Training for Deep Learning.

Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin

CoRR, 2022

FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity.

Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian

CoRR, 2022

CoGNN: Efficient Scheduling for Concurrent GNN Training on GPUs.

Qingxiao Sun, Yi Liu, Hailong Yang, Ruizhe Zhang, Ming Dun, Mingzhen Li, Xiaoyan Liu, Wencong Xiao, Yong Li, Zhongzhi Luan, Depei Qian

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Adanomaly: Adaptive Anomaly Detection for System Logs with Adversarial Learning.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Yukun Wang, Carol J. Fung, Hailong Yang, Depei Qian

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

PowerSpector: Towards Energy Efficiency with Calling-Context-Aware Profiling.

Xin You, Hailong Yang, Zhibo Xuan, Zhongzhi Luan, Depei Qian

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

StencilMART: Predicting Optimization Selection for Stencil Computations across GPUs.

Qingxiao Sun, Yi Liu, Hailong Yang, Zhonghui Jiang, Zhongzhi Luan, Depei Qian

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Toward accelerated stencil computation by adapting tensor core unit on GPU.

Xiaoyan Liu, Yi Liu, Hailong Yang, Jianjin Liao, Mingzhen Li, Zhongzhi Luan, Depei Qian

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

Vectorizing SpMV by Exploiting Dynamic Regular Patterns.

Xin You, Changxi Liu, Hailong Yang, Pengbo Wang, Zhongzhi Luan, Depei Qian

Proceedings of the 51st International Conference on Parallel Processing, 2022

Towards Optimized Streaming Tensor Completion on multiple GPUs.

Jiwei Hao, Hailong Yang, Qingxiao Sun, Huaitao Zhang, Zhongzhi Luan, Depei Qian

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

The Deep Learning Compiler: A Comprehensive Survey.

Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2021

Towards efficient tile low-rank GEMM computation on sunway many-core processors.

Qingchang Han, Hailong Yang, Ming Dun, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

J. Supercomput., 2021

swMR: A Framework for Accelerating MapReduce Applications on Sunway Taihulight.

Xiaogang Zhong, Mingzhen Li, Hailong Yang, Yi Liu, Depei Qian

IEEE Trans. Emerg. Top. Comput., 2021

Towards efficient canonical polyadic decomposition on sunway many-core processor.

Ming Dun, Yunchun Li, Qingxiao Sun, Hailong Yang, Wei Li, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

Inf. Sci., 2021

dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies.

Tianyu Feng, Siyan Chen, Xin You, Shuzhang Zhong, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the Network and Parallel Computing, 2021

An optimized tensor completion library for multiple GPUs.

Ming Dun, Yunchun Li, Hailong Yang, Qingxiao Sun, Zhongzhi Luan, Depei Qian

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Automatic Code Generation and Optimization of Large-scale Stencil Computation on Many-core Processors.

Mingzhen Li, Yi Liu, Hailong Yang, Yongmin Hu, Qingxiao Sun, Bangduo Chen, Xin You, Xiaoyan Liu, Zhongzhi Luan, Depei Qian

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

DRStencil: Exploiting Data Reuse within Low-order Stencil on GPU.

Xin You, Hailong Yang, Zhonghui Jiang, Zhongzhi Luan, Depei Qian

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

csTuner: Scalable Auto-tuning Framework for Complex Stencil Computation on GPUs.

Qingxiao Sun, Yi Liu, Hailong Yang, Zhonghui Jiang, Xiaoyan Liu, Ming Dun, Zhongzhi Luan, Depei Qian

Proceedings of the IEEE International Conference on Cluster Computing, 2021

PriPro: Towards Effective Privacy Protection on Edge-Cloud System running DNN Inference.

Ruiyuan Gao, Hailong Yang, Shaohan Huang, Ming Dun, Mingzhen Li, Zerong Luan, Zhongzhi Luan, Depei Qian

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Accelerating Sparse Cholesky Factorization on Sunway Manycore Architecture.

Mingzhen Li, Yi Liu, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2020

Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer.

Yongmin Hu, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2020

Thread-Level Locking for SIMT Architectures.

Lan Gao, Yunlong Xu, Rui Wang, Zhongzhi Luan, Zhibin Yu, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2020

Temperature-Aware DRAM Cache Management - Relaxing Thermal Constraints in 3-D Systems.

Minxuan Zhou, Andreas Prodromou, Rui Wang, Hailong Yang, Depei Qian, Dean M. Tullsen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

The Deep Learning Compiler: A Comprehensive Survey.

Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

CoRR, 2020

Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models.

Ruiyuan Gao, Ming Dun, Hailong Yang, Zhongzhi Luan, Depei Qian

CoRR, 2020

swGBDT: Efficient Gradient Boosted Decision Tree on Sunway Many-Core Processor.

Bohong Yin, Yunchun Li, Ming Dun, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the Supercomputing Frontiers - 6th Asian Conference, 2020

ZeroSpy: exploring software inefficiency with redundant zeros.

Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian, Xu Liu

Proceedings of the International Conference for High Performance Computing, 2020

SpTFS: sparse tensor format selection for MTTKRP via deep learning.

Qingxiao Sun, Yi Liu, Ming Dun, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2020

Towards GPU Acceleration of Phonon Computation with ShengBTE.

Yi Wei, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2020

swRodinia: A Benchmark Suite for Exploiting Architecture Properties of Sunway Processor.

Bangduo Chen, Mingzhen Li, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2019

Accelerating in-memory transaction processing using general purpose graphics processing units.

Lan Gao, Yunlong Xu, Rui Wang, Hailong Yang, Zhongzhi Luan, Depei Qian

Future Gener. Comput. Syst., 2019

Intelligent-Unrolling: Exploiting Regular Patterns in Irregular Applications.

Changxi Liu, Hailong Yang, Xu Liu, Zhongzhi Luan, Depei Qian

CoRR, 2019

swTVM: Exploring the Automated Compilation for Deep Learning on Sunway Architecture.

Changxi Liu, Hailong Yang, Rujun Sun, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

CoRR, 2019

swTensor: accelerating tensor decomposition on Sunway architecture.

Xiaogang Zhong, Hailong Yang, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian

CCF Trans. High Perform. Comput., 2019

Performance Evaluation and Analysis of Linear Algebra Kernels in the Prototype Tianhe-3 Cluster.

Xin You, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the Supercomputing Frontiers - 5th Asian Conference, 2019

Multiple Algorithms Against Multiple Hardware Architectures: Data-Driven Exploration on Deep Convolution Neural Network.

Chongyang Xu, Zhongzhi Luan, Lan Gao, Rui Wang, Han Zhang, Lianyi Zhang, Yi Liu, Depei Qian

Proceedings of the Network and Parallel Computing, 2019

Improving the Parallelism of CESM on GPU.

Zehui Jin, Ming Dun, Xin You, Hailong Yang, Yunchun Li, Yingchun Lin, Zhongzhi Luan, Depei Qian

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Towards a General and Efficient Linked-List Hash Table on GPUs.

Lan Gao, Yunlong Xu, Chongyang Xu, Rui Wang, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

swCPD: Optimizing Canonical Polyadic Decomposition on Sunway Manycore Architecture.

Ming Dun, Yunchun Li, Hailong Yang, Wei Li, Zhongzhi Luan, Depei Qian

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Anomaly Detection Models Based on Context-Aware Sequential Long Short-Term Memory Learning.

Lu Xu, Zhongzhi Luan, Carol J. Fung, Da Ye, Depei Qian

Proceedings of the 2019 IEEE Global Communications Conference, 2019

L-DAG: Enabling Loopy Workflow in Scientific Application with Automatic DAG Transformation.

Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

SMQoS: Improving Utilization and Energy Efficiency with QoS Awareness on GPUs.

Qingxiao Sun, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

SMGuard: A Flexible and Fine-Grained Resource Management Framework for GPUs.

Chao Yu, Yuebin Bai, Hailong Yang, Kun Cheng, Yuhao Gu, Zhongzhi Luan, Depei Qian

IEEE Trans. Parallel Distributed Syst., 2018

SRAM- and STT-RAM-based hybrid, shared last-level cache for on-chip CPU-GPU heterogeneous architectures.

Lan Gao, Rui Wang, Yunlong Xu, Hailong Yang, Zhongzhi Luan, Depei Qian, Han Zhang, Jihong Cai

J. Supercomput., 2018

Block-Checksum-Based Fault Tolerance for Matrix Multiplication on Large-Scale Parallel Systems.

Yanchao Zhu, Yi Liu, Mingzhen Li, Depei Qian

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Multi-role SpTRSV on Sunway Many-Core Architecture.

Mingzhen Li, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Outlier Detection for Distributed Services using Multi-Frequency Patterns.

Lu Xu, Zhongzhi Luan, Carol J. Fung, Guang Wei, Depei Qian

Proceedings of the 14th International Conference on Network and Service Management, 2018

Performance Analysis and Optimization of Cyro-EM Structure Determination in RELION-2.

Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

2017

Achieving Versatile and Simultaneous Cache Optimizations With Nonvolatile SRAM.

Rui Wang, Dan Jia, Tao Li, Depei Qian

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

PSOM: Periodic Self-Organizing Maps for unsupervised anomaly detection in periodic time series.

Shupeng Zhang, Carol J. Fung, Shaohan Huang, Zhongzhi Luan, Depei Qian

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Arena: Adaptive real-time update anomaly prediction in cloud systems.

Shaohan Huang, Carol J. Fung, Chang Liu, Shupeng Zhang, Guang Wei, Zhongzhi Luan, Depei Qian

Proceedings of the 13th International Conference on Network and Service Management, 2017

2016

Managing Server Clusters on Renewable Energy Mix.

Chao Li, Rui Wang, Depei Qian, Tao Li

ACM Trans. Auton. Adapt. Syst., 2016

Using recurrent neural networks toward black-box system anomaly prediction.

Shaohan Huang, Carol J. Fung, Kui Wang, Polo Pei, Zhongzhi Luan, Depei Qian

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

Scheduling Tasks with Mixed Timing Constraints in GPU-Powered Real-Time Systems.

Yunlong Xu, Rui Wang, Tao Li, Mingcong Song, Lan Gao, Zhongzhi Luan, Depei Qian

Proceedings of the 2016 International Conference on Supercomputing, 2016

Lock-based synchronization for GPU architectures.

Yunlong Xu, Lan Gao, Rui Wang, Zhongzhi Luan, Weiguo Wu, Depei Qian

Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

2015

Leveraging Non-Volatile Storage to Achieve Versatile Cache Optimizations.

Rui Wang, Wangyuan Zhang, Tao Li, Depei Qian

IEEE Comput. Archit. Lett., 2015

A methodology for root-cause analysis in component based systems.

Kui Wang, Carol J. Fung, Chao Ding, Polo Pei, Shaohan Huang, Zhongzhi Luan, Depei Qian

Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Revisit network anomaly ranking in datacenter network using re-ranking.

Shaohan Huang, Carol J. Fung, Kui Wang, Yaqi Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015

2014

Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters.

Chao Li, Rui Wang, Yang Hu, Ruijin Zhou, Ming Liu, Longjun Liu, Jingling Yuan, Tao Li, Depei Qian

J. Comput. Sci. Technol., 2014

Software Transactional Memory for GPU Architectures.

Yunlong Xu, Rui Wang, Nilanjan Goswami, Tao Li, Depei Qian

IEEE Comput. Archit. Lett., 2014

Managing Green Datacenters Powered by Hybrid Renewable Energy Systems.

Chao Li, Rui Wang, Tao Li, Depei Qian, Jingling Yuan

Proceedings of the 11th International Conference on Autonomic Computing, 2014

Software Transactional Memory for GPU Architectures.

Yunlong Xu, Rui Wang, Nilanjan Goswami, Tao Li, Lan Gao, Depei Qian

Proceedings of the 12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2014

2013

Chameleon: Adapting throughput server to time-varying green power budget using online learning.

Chao Li, Xian Li, Rui Wang, Tao Li, Nilanjan Goswami, Depei Qian

Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013