Rengan Xu

发表

Sunita Chandrasekaran, Barbara M. Chapman, Jungwon Kim, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Using OpenACC for stencil and Feldkamp algorithms

Barbara Chapman, Rengan Xu, Sunita Chandrasekaran, 2017 .

Reduction Operations in Parallel Loops for GPGPUs

Sunita Chandrasekaran, Barbara M. Chapman, Yonghong Yan, 2014, PMAM'14.

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

Sunita Chandrasekaran, Barbara M. Chapman, Xiaonan Tian, 2015, Sci. Program..

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

Sunita Chandrasekaran, Barbara M. Chapman, Xiaonan Tian, 2016, ISC.

Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models pdf

Pei Yang, Can Karakus, Vikram A. Saletore, 2019, ISC.

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

Sunita Chandrasekaran, Barbara M. Chapman, Yonghong Yan, 2014, LCPC.

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

Sunita Chandrasekaran, Kevin Skadron, Matthias S. Müller, 2014, PMBS@SC.

Compiler transformation of nested loops for general purpose GPUs

Sunita Chandrasekaran, Barbara M. Chapman, Yonghong Yan, 2016, Concurr. Comput. Pract. Exp..

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

Sunita Chandrasekaran, Barbara M. Chapman, Jungwon Kim, 2018, Parallel Comput..

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

Sunita Chandrasekaran, Barbara M. Chapman, Rengan Xu, 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.

Accelerating Kirchhoff Migration on GPU Using Directives

Henri Calandra, Sunita Chandrasekaran, Barbara M. Chapman, 2014, 2014 First Workshop on Accelerator Programming using Directives.

Reduction Operations in Parallel Loops for GPGPUs

Sunita Chandrasekaran, Yonghong Yan, Xiaonan Tian, 2014, PMAM'14.

Multi-GPU Support on Shared Memory System using Directive-based Programming Model

Sunita Chandrasekaran, Barbara Chapman, Xiaonan Tian, 2015 .

Directive-based Programming Models for Scientific Applications - A Comparison

B. Chapman, Rengan Xu, S. Chandrasekaran, 2012, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis.

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

Sunita Chandrasekaran, Barbara M. Chapman, Zhifeng Yun, 2013, LCPC.

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

Barbara M. Chapman, Mauricio Araya-Polo, Rengan Xu, 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.

Deep Learning at Scale on NVIDIA V100 Accelerators

Rengan Xu, Quy Ta, Frank Han, 2018, 2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).

Optimizing GPU Register Usage: Extensions to OpenACC and Compiler Optimizations

Barbara M. Chapman, Xiaonan Tian, Rengan Xu, 2016, 2016 45th International Conference on Parallel Processing (ICPP).

A Validation Testsuite for OpenACC 1.0

Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman, 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.