Filesystem Aware Scalable I/O Framework for Data-Intensive Parallel Applications. - Rengan Xu; Mauricio Araya-Polo; Barbara M. Chapman (IPDPS Workshops, 2013)

Exploring Programming Multi-GPUs Using OpenMP and OpenACC-Based Hybrid Model. - Rengan Xu; Sunita Chandrasekaran; Barbara M. Chapman (IPDPS Workshops, 2013)

Compiling a High-Level Directive-Based Programming Model for GPGPUs. - Xiaonan Tian; Rengan Xu; Yonghong Yan 001; Zhifeng Yun; Sunita Chandrasekaran; Barbara M. Chapman (LCPC, 2013)

A Validation Testsuite for OpenACC 1.0. - Cheng Wang; Rengan Xu; Sunita Chandrasekaran; Barbara M. Chapman; Oscar R. Hernandez (IPDPS Workshops, 2014)

NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model. - Rengan Xu; Xiaonan Tian; Sunita Chandrasekaran; Yonghong Yan 001; Barbara M. Chapman (LCPC, 2014)

Reduction Operations in Parallel Loops for GPGPUs. - Rengan Xu; Xiaonan Tian; Yonghong Yan 001; Sunita Chandrasekaran; Barbara M. Chapman (PMAM, 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; et al. (PMBS@SC, 2014)

Accelerating Kirchhoff migration on GPU using directives. - Rengan Xu; Maxime R. Hugues; Henri Calandra; Sunita Chandrasekaran; Barbara M. Chapman (WACCPD@SC, 2014)

Multi-GPU Support on Single Node Using Directive-Based Programming Model. - Rengan Xu; Xiaonan Tian; Sunita Chandrasekaran; Barbara M. Chapman (Sci. Program., 2015)

Optimizing GPU Register Usage: Extensions to OpenACC and Compiler Optimizations. - Xiaonan Tian; Dounia Khaldi; Deepak Eachempati; Rengan Xu; Barbara M. Chapman (ICPP, 2016)

An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling. - Rengan Xu; Sunita Chandrasekaran; Xiaonan Tian; Barbara M. Chapman (ISC, 2016)

Compiler transformation of nested loops for general purpose GPUs. - Xiaonan Tian; Rengan Xu; Yonghong Yan 001; Sunita Chandrasekaran; Deepak Eachempati; Barbara M. Chapman (Concurr. Comput. Pract. Exp., 2016)

Implementing the OpenACC Data Model. - Michael Wolfe; Seyong Lee; Jungwon Kim; Xiaonan Tian; Rengan Xu; Sunita Chandrasekaran; Barbara M. Chapman (IPDPS Workshops, 2017)

Deep Learning at Scale on NVIDIA V100 Accelerators. - Rengan Xu; Frank Han; Quy Ta (PMBS@SC, 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)

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; et al. (ISC, 2019)

Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention. - Rengan Xu; Junjie Yang; Yifan Xu; Hong Li; Xing Liu; Devashish Shankar; Haoci Zhang; Meng Liu; Boyang Li; Yuxi Hu; Mingwei Tang; Zehua Zhang; et al. (RecSys, 2024)

Async Learned User Embeddings for Ads Delivery Optimization. - Mingwei Tang; Meng Liu; Hong Li; Junjie Yang; Chenglin Wei; Boyang Li; Dai Li; Rengan Xu; Yifan Xu; Zehua Zhang; Xiangyu Wang; Linfeng Liu; et al. (CoRR, 2024)