Rengan Xu

According to our database, Rengan Xu authored at least 16 papers between 2013 and 2019.

Collaborative distances:

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

2019

Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models.

Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang

Proceedings of the High Performance Computing - 34th International Conference, 2019

2018

The OpenACC data model: Preliminary study on its major challenges and implementations.

Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Barbara M. Chapman, Sunita Chandrasekaran

Parallel Comput., 2018

Deep Learning at Scale on NVIDIA V100 Accelerators.

Rengan Xu, Frank Han, Quy Ta

Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

2017

Implementing the OpenACC Data Model.

Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman

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

2016

Compiler transformation of nested loops for general purpose GPUs.

Xiaonan Tian, Rengan Xu, Yonghong Yan, Sunita Chandrasekaran, Deepak Eachempati, Barbara M. Chapman

Concurr. Comput. Pract. Exp., 2016

An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling.

Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian, Barbara M. Chapman

Proceedings of the High Performance Computing - 31st International Conference, 2016

Optimizing GPU Register Usage: Extensions to OpenACC and Compiler Optimizations.

Xiaonan Tian, Dounia Khaldi, Deepak Eachempati, Rengan Xu, Barbara M. Chapman

Proceedings of the 45th International Conference on Parallel Processing, 2016

2015

Multi-GPU Support on Single Node Using Directive-Based Programming Model.

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Barbara M. Chapman

Sci. Program., 2015

2014

Accelerating Kirchhoff migration on GPU using directives.

Rengan Xu, Maxime R. Hugues, Henri Calandra, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the First Workshop on Accelerator Programming using Directives, 2014

SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance.

Guido Juckeland, William C. Brantley, Sunita Chandrasekaran, Barbara M. Chapman, Shuai Che, Mathew E. Colgrove, Huiyu Feng, Alexander Grund, Robert Henschel, Wen-mei W. Hwu, Huian Li, Matthias S. Müller, Wolfgang E. Nagel, Maxim Perminov, Pavel Shelepugin, Kevin Skadron, John A. Stratton, Alexey Titov, Ke Wang, G. Matthijs van Waveren, Brian Whitney, Sandra Wienke, Rengan Xu, Kalyan Kumaran

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

Reduction Operations in Parallel Loops for GPGPUs.

Rengan Xu, Xiaonan Tian, Yonghong Yan, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2014 PPOPP International Workshop on Programming Models and Applications for Multicores and Manycores, 2014

NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model.

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara M. Chapman

Proceedings of the Languages and Compilers for Parallel Computing, 2014

A Validation Testsuite for OpenACC 1.0.

Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman, Oscar R. Hernandez

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2013

Compiling a High-Level Directive-Based Programming Model for GPGPUs.

Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the Languages and Compilers for Parallel Computing, 2013

Exploring Programming Multi-GPUs Using OpenMP and OpenACC-Based Hybrid Model.

Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Filesystem Aware Scalable I/O Framework for Data-Intensive Parallel Applications.

Rengan Xu, Mauricio Araya-Polo, Barbara M. Chapman

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013