Guoping Long

According to our database, Guoping Long authored at least 43 papers between 2004 and 2022.

Collaborative distances:

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

2022

Efficient Pipeline Planning for Expedited Distributed DNN Training.

Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin

Proceedings of the IEEE INFOCOM 2022, 2022

AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures.

Zhen Zheng, Xuanda Yang, Pengzhan Zhao, Guoping Long, Kai Zhu, Feiwen Zhu, Wenyi Zhao, Xiaoyong Liu, Jun Yang, Jidong Zhai, Shuaiwen Leon Song, Wei Lin

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

DAPPLE: a pipelined data parallel approach for training large models.

Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2020

Online Bayesian max-margin subspace learning for multi-view classification and regression.

Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long

Mach. Learn., 2020

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads.

Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin

CoRR, 2020

Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads.

Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin

CoRR, 2020

Fast Training of Deep Learning Models over Multiple GPUs.

Xiaodong Yi, Ziyue Luo, Chen Meng, Mengdi Wang, Guoping Long, Chuan Wu, Jun Yang, Wei Lin

Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

Optimizing distributed training deployment in heterogeneous GPU clusters.

Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin

Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

2019

FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads.

Guoping Long, Jun Yang, Wei Lin

CoRR, 2019

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning.

Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long

CoRR, 2019

Characterizing Deep Learning Training Workloads on Alibaba-PAI.

Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2018

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs.

Guoping Long, Jun Yang, Kai Zhu, Wei Lin

CoRR, 2018

2017

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.

Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Conditional Variational Framework for Dialog Generation.

Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Highly Optimized Code Generation for Stencil Codes with Computation Reuse for GPUs.

Wenjing Ma, Kan Gao, Guoping Long

J. Comput. Sci. Technol., 2016

Bridging Semantic Gap Between App Names: Collective Matrix Factorization for Similar Mobile App Recommendation.

Ning Bu, Shuzi Niu, Lei Yu, Wenjing Ma, Guoping Long

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Online Bayesian Multiple Kernel Bipartite Ranking.

Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.

Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Efficient Bayesian Maximum Margin Multiple Kernel Learning.

Changying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Bayesian Group Feature Selection for Support Vector Learning Machines.

Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring.

Wenjing Ma, Liangliang Cao, Lei Yu, Guoping Long, Yucheng Li

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Online variational Bayesian Support Vector Regression.

Siqi Deng, Kan Gao, Changying Du, Wenjing Ma, Guoping Long, Yucheng Li

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Online Bayesian Max-Margin Subspace Multi-View Learning.

Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Listwise Approach for Rank Aggregation in Crowdsourcing.

Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Detect Similar Mobile Applications with Transfer Learning.

Ning Bu, Lei Yu, Wenjing Ma, Changying Du, Shuzi Niu, Guoping Long

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

PE-TLD: Parallel Extended Tracking-Learning-Detection for Multi-target Tracking.

Chenggang Zhou, Qiankun Dong, Wenjing Ma, Guoping Long, Tao Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014

High performance two-dimensional phase unwrapping on GPUs.

Zhenhua Wu, Wenjing Ma, Guoping Long, Yucheng Li, Qiuyan Tang, Zhongjie Wang

Proceedings of the Computing Frontiers Conference, CF'14, 2014

2013

MPFFT: An Auto-Tuning FFT Library for OpenCL GPUs.

Yan Li, Yunquan Zhang, Yiqung Liu, Guoping Long, Haipeng Jia

J. Comput. Sci. Technol., 2013

StreamScan: fast scan algorithms for GPUs without global barrier synchronization.

Shengen Yan, Guoping Long, Yunquan Zhang

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2013

CLSIFT: An Optimization Study of the Scale Invariance Feature Transform on GPUs.

Weiyan Wang, Yunquan Zhang, Guoping Long, Shengen Yan, Haipeng Jia

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Memristors for neural branch prediction: a case study in strict latency and write endurance challenges.

Hebatallah Saadeldeen, Diana Franklin, Guoping Long, Charlotte Hill, Aisha Browne, Dmitri B. Strukov, Timothy Sherwood, Frederic T. Chong

Proceedings of the Computing Frontiers Conference, 2013

2012

An Insightful Program Performance Tuning Chain for GPU Computing.

Haipeng Jia, Yunquan Zhang, Guoping Long, Shengen Yan

Proceedings of the Algorithms and Architectures for Parallel Processing, 2012

GPURoofline: A Model for Guiding Performance Optimizations on GPUs.

Haipeng Jia, Yunquan Zhang, Guoping Long, Jianliang Xu, Shengen Yan, Yan Li

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2011

Automatic FFT Performance Tuning on OpenCL GPUs.

Yan Li, Yunquan Zhang, Haipeng Jia, Guoping Long, Ke Wang

Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

CRSD: Application Specific Auto-tuning of SpMV for Diagonal Sparse Matrices.

Xiangzheng Sun, Yunquan Zhang, Ting Wang, Guoping Long, Xianyi Zhang, Yan Li

Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2010

Minimal Multi-threading: Finding and Removing Redundant Instructions in Multi-threaded Processors.

Guoping Long, Diana Franklin, Susmit Biswas, Pablo J. Ortiz, Jason Oberg, Dongrui Fan, Frederic T. Chong

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

2009

Godson-T: An Efficient Many-Core Architecture for Parallel Program Executions.

Dongrui Fan, Nan Yuan, Junchao Zhang, Yongbin Zhou, Wei Lin, Fenglong Song, Xiaochun Ye, He Huang, Lei Yu, Guoping Long, Hao Zhang, Lei Liu

J. Comput. Sci. Technol., 2009

Architectural support for cilk computations on many-core architectures.

Guoping Long, Dongrui Fan, Junchao Zhang

Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2009

Characterizing and Understanding the Bandwidth Behavior of Workloads on Multi-core Processors.

Guoping Long, Dongrui Fan, Junchao Zhang

Proceedings of the Euro-Par 2009 Parallel Processing, 2009

2008

Location Consistency Model Revisited: Problem, Solution and Prospects.

Guoping Long, Nan Yuan, Dongrui Fan

Proceedings of the Ninth International Conference on Parallel and Distributed Computing, 2008

A Performance Model of Dense Matrix Operations on Many-Core Architectures.

Guoping Long, Dongrui Fan, Junchao Zhang, Fenglong Song, Nan Yuan, Wei Lin

Proceedings of the Euro-Par 2008, 2008

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

2004

A Resource Organizing Protocol for Grid Based on Bounded Two-Level Broadcasting Technique.

Zhigang Chen, Anfeng Liu, Guoping Long

Proceedings of the Grid and Cooperative Computing, 2004