Follow
Rengan Xu
Rengan Xu
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
SPEC ACCEL: A standard application suite for measuring hardware accelerator performance
G Juckeland, W Brantley, S Chandrasekaran, B Chapman, S Che, ...
International Workshop on Performance Modeling, Benchmarking and Simulation …, 2014
922014
Compiling a high-level directive-based programming model for gpgpus
X Tian, R Xu, Y Yan, Z Yun, S Chandrasekaran, B Chapman
Languages and Compilers for Parallel Computing: 26th International Workshop …, 2014
592014
Nas parallel benchmarks for gpgpus using a directive-based programming model
R Xu, X Tian, S Chandrasekaran, Y Yan, B Chapman
Languages and Compilers for Parallel Computing: 27th International Workshop …, 2015
402015
Exploring programming multi-GPUs using OpenMP and OpenACC-based hybrid model
R Xu, S Chandrasekaran, B Chapman
2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013
382013
Deep learning at scale on nvidia v100 accelerators
R Xu, F Han, Q Ta
2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High …, 2018
272018
A validation testsuite for OpenACC 1.0
C Wang, R Xu, S Chandrasekaran, B Chapman, O Hernandez
2014 IEEE International Parallel & Distributed Processing Symposium …, 2014
262014
Compiler transformation of nested loops for general purpose GPUs
X Tian, R Xu, Y Yan, S Chandrasekaran, D Eachempati, B Chapman
Concurrency and Computation: Practice and Experience 28 (2), 537-556, 2016
162016
Multi‐GPU support on single node using directive‐based programming model
R Xu, X Tian, S Chandrasekaran, B Chapman
Scientific Programming 2015 (1), 621730, 2015
162015
Accelerating kirchhoff migration on gpu using directives
R Xu, M Hugues, H Calandra, S Chandrasekaran, B Chapman
2014 First Workshop on Accelerator Programming using Directives, 37-46, 2014
142014
The OpenACC data model: Preliminary study on its major challenges and implementations
M Wolfe, S Lee, J Kim, X Tian, R Xu, B Chapman, S Chandrasekaran
Parallel Computing 78, 15-27, 2018
112018
Implementing the OpenACC data model
M Wolfe, S Lee, J Kim, X Tian, R Xu, S Chandrasekaran, B Chapman
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
102017
Optimizing gpu register usage: Extensions to openacc and compiler optimizations
X Tian, D Khaldi, D Eachempati, R Xu, B Chapman
2016 45th International Conference on Parallel Processing (ICPP), 572-581, 2016
92016
OpenACC Parallelization and Optimization of NAS Parallel Benchmarks
R Xu, X Tian, S Chandrasekaran, Y Yan, B Chapman
GPU Technology Conference, 2014
92014
Web news extraction based on path pattern mining
GQ Wu, X Wu, XG Hu, HG Li, Y Liu, RG Xu
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery …, 2009
82009
OpenUH: open source OpenACC compiler
X Tian, R Xu, B Chapman
GTC2014, HPCTools Group Computer Science Department University of Houston, 2014
72014
Reduction operations in parallel loops for GPGPUs
R Xu, X Tian, Y Yan, S Chandrasekaran, B Chapman
Proceedings of Programming Models and Applications on Multicores and …, 2014
72014
Deep learning at scale on nvidia v100 accelerators. In 2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)
R Xu, F Han, Q Ta
IEEE, 2018
62018
An analytical model-based auto-tuning framework for locality-aware loop scheduling
R Xu, S Chandrasekaran, X Tian, B Chapman
High Performance Computing: 31st International Conference, ISC High …, 2016
62016
Filesystem aware scalable I/O framework for data-intensive parallel applications
R Xu, M Araya-Polo, B Chapman
2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013
62013
Directive-based programming models for scientific applications-a comparison
R Xu, S Chandrasekaran, B Chapman, CF Eick
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
52012
The system can't perform the operation now. Try again later.
Articles 1–20