Home	Research	Publications

Book Chapter

Sunita Chandrasekaran, Rengan Xu and Barbara Chapman. Using OpenACC for Stencil and Feldkamp Algorithms. Chapter 8 in Parallel Programming with OpenACC, 1st Edition edited by Rob Farber, Elsevier, 2016 BibTex

Journal Publications

Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Barbara Chapman and Sunita Chandrasekaran. The OpenACC data model: Preliminary study on its major challenges and implementations, Parallel Computing, Vol. 78, pages 15-27, 2018, doi: 10.1016/j.parco.2018.07.003 BibTex Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran and Barbara Chapman. Multi-GPU Support on Single Node Using Directive-Based Programming Model, Special Issue on Programming Models, Languages and Compilers for Manycore and Heterogeneous Architectures, Journal of Scientific Programming, Vol. 2015, Article ID 621730, 15 pages, 2015. doi: 10.1155/2015/621730 BibTex Xiaonan Tian, Rengan Xu, Yonghong Yan, Sunita Chandrasekaran, Deepak Eachempati and Barbara Chapman. Compiler Transformation of Nested Loops for GPGPUs, Special Issue on Programming Models and Applications for Multicores and Manycores, Journal of Concurrency and Computation: Practice and Experience, 2015, doi: 10.1002/cpe.3648 BibTex

Conferences and Workshop Publications

Rengan Xu, Junjie Yang, Yifan Xu, Hong Li, Xing Liu, Devashish Shankar, Haoci Zhang Meng Liu, Boyang Li, Yuxi Hu, Mingwei Tang, Zehua Zhang, Tunhou Zhang, Dai Li Sijia Chen, Gian-Paolo Musumeci, Jiaqi Zhai, Bill Zhu, Hong Yan, Srihari Reddy. Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention, in 18th ACM Conference on Recommender System (RecSys'24), October 2024, Bari, Italy Mingwei Tang, Meng Liu, Hong Li, Junjie Yang, Chenglin Wei, Boyang Li, Dai Li, Rengan Xu, Yifan Xu, Zehua Zhang, Xiangyu Zhang, Linfeng Liu, Yuelei Xie, Chengye Liu, Labib Fawaz, Li Li, Hongnan Wang, Bill Zhu, Sri Reddy. Async Learned User Embeddings for Ads Delivery Optimization, in Proceedings of the Workshop on Multimodal Representation and Retrieval (MRR'24), in conjuction with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval 2024 (SIGIR'24), July, 2024, Washington, D.C., USA BibTex Derya Cavdar, Valeriu Codreanu, Can Karakus, John A Lockman, Damian Podareanu, Vikram Saletore, Alexander Sergeev, Don D Smith, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A Wilson, Rengan Xu, Pei Yang. Densifying Assumed-Sparse Tensors, in Proceedings of 34th International Conference on High Performance Computing (ISC 2019), pages 23-39, June, 2019, Frankfurt, Germany BibTex Rengan Xu, Frank Han, Quy Ta. Deep Learning at Scale on NVIDIA V100 Accelerators, in Proceedings of the Nineth IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems(PMBS 2018), pages 23-32, November, 2018, Dallas, Texas, USA BibTex Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Sunita Chandrasekaran and Barbara Chapman. Implementing the OpenACC Data Model, in Proceedings of the Seventh International Workshop on Accelerators and Hybrid Exascale Systems (AsHES 2017), pages 662-672, May, 2017, Dallas, Texas, USA BibTex Xiaonan Tian, Dounia Khaldi, Deepak Eachempati, Rengan Xu and Barbara Chapman. Optimizing GPU Register Usage: Extensions to OpenACC and Compiler Optimizations, in Proceedings of the 45th International Conference on Parallel Processing(ICPP 2016), pages 572-581, August, 2016, Philadelphia, PA, USA BibTex Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian and Barbara Chapman. An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling, in Proceedings of 2016 International Conference on High Performance Computing (ISC 2016), pages 3-20, June, 2016, Frankfurt, Germany BibTex Rengan Xu, Dounia Khaldi, Abid Malik and Barbara Chapman. ACC-SVM: Accelerating SVM on GPUs using OpenACC, in Proceedings of the First Workshop of Mission-Critical Big Data Analytics (MCBDA 2016), May, 2016, Prairie View, TX, USA BibTex Rengan Xu, Maxime Hugues, Henri Calandra, Sunita Chandrasekaran and Barbara Chapman. Accelerating Kirchhoff Migration on GPU using Directives, in Proceedings of the First Workshop on Accelerator Programming using Directives(WACCPD 2014), pages 37-46, November, 2014, New Orleans, Louisiana, USA BibTex Guido Juckeland, William Brantley, Sunita Chandrasekaran, Barbara Chapman, Shuai Che, Mathew Colgrove, Huiyu Feng, Alexander Grund, Robert Henschel, Wen-Mei Hwu, Huian Li, Matthias S. MAller, Maxim Perminov, Pavel Shelepugin, Kevin Skadron, John Stratton, Alexey Titov, Ke Wang, Matthijs van Waveren, Brian Whitney, Sandra Wienke, Rengan Xu, Kalyan Kumaran SPEC ACCEL - A Standard Application Suite for Measuring Hardware Accelerator Performance, in the 5th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer System (PMBS 2014), pages 46-67, November, 2014, New Orleans, Louisiana, USA BibTex Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan and Barbara Chapman. NAS Parallel Benchmarks on GPGPUs using a Directive-based Programming Model, in the 27th International Workshop on Languages and Compilers for Parallel Computing (LCPC 2014), pages 67-81, September, 2014, Hillsboro, Oregon, USA Talk Slides BibTex Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara Chapman and Oscar Hernandez. A Validation Testsuite for OpenACC 1.0, in 2014 IEEE 28th International Parallel and Distributed Processing Symposium Workshop & PhD Forum (IPDPSW), pages 1407-1416, 2014, Phoenix, Arizona, USA (Equal contribution by the first two authors.) Talk Slides BibTex Rengan Xu, Xiaonan Tian, Yonghong Yan, Sunita Chandrasekaran, and Barbara Chapman. Reduction Operations in Parallel Loops for GPGPUs, in the 2014 International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 2014), pages 10-20, February, 2014, Orlando, Florida, USA Talk Slides BibTex Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, and Barbara Chapman. Compiling A High-Level Directive-based Programming Model for GPGPUs, in the 26th International Workshop on Languages and Compilers for High Performance Computing (LCPC 2013), pages 105-120, September, 2013, Santa Clara, CA, USA Talk Slides BibTex Rengan Xu, Sunita Chandrasekaran and Barbara Chapman. Exploring Programming Multiple GPUs using OpenMP & OpenACC-based Hybrid Model. in 2013 IEEE 27th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), pages 1169-1176, May, 2013, Boston, MA, USA Talk Slides BibTex Rengan Xu, Mauricio Araya-Polo and Barbara Chapman. Filesystem Aware Scalable I/O Framework for Data-Intensive Parallel Applications. in 2013 IEEE 27th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), pages 2007-2014, May, 2013, Boston, MA, USA Talk Slides BibTex Rengan Xu, Sunita Chandrasekaran, Barbara Chapman, and Christoph F. Eick. Directive-based Programming Models for Scientific Applications - A Comparison. in 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC), pages 1-9, November, 2012, Salt Lake City, Utah, USA Talk Slides BibTex

Presentations

Frank Han, Rengan Xu. Tuning GPU Server for Deep Learning Performance (S21501). in GPU Technology conference (GTC), March, 2020, San Jose, CA, USA Rengan Xu, Frank Han, Nishanth Dandapanthula. Containerizing Deep Learning Frameworks with Singularity (S8368). in GPU Technology conference (GTC), March, 2018, San Jose, CA, USA Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan and Barbara Chapman. OpenACC Parallelization and Optimization of NAS Parallel Benchmarks (S4340). in GPU Technology conference (GTC), March, 2014, San Jose, CA, USA Xiaonan Tian, Rengan Xu and Barbara Chapman. OpenUH: An Open Source OpenACC Compiler (S4343). in GPU Technology conference (GTC), March, 2014, San Jose, CA, USA Rengan Xu. OpenACC Data Management - Hands-on Session (S3532). in GPU Technology conference (GTC), March, 2013, San Jose, CA, USA

Posters

Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran and Barbara Chapman. "Poster : OpenUH - An Open Source OpenACC Compiler. in GPU Technology conference (GTC), March, 2014, San Jose, CA, USA BibTex Rengan Xu, Cheng Wang, Sunita Chandrasekaran and Barbara Chapman. "Poster : OpenACC Programming Experiences using Scientific Applications. in GPU Technology conference (GTC), March, 2013, San Jose, CA, USA BibTex Rengan Xu, Mauricio Araya-Polo and Barbara Chapman. Poster: Parallel I/O Framework for Data-Intensive Parallel Applications. in the 7th Parallel Data Storage Workshop (PDSW'12) in conjunction with Supercomputing 2012 (SC'12), November, 2012, Salt Lake City, Utah, USA BibTex

Others

Rengan Xu, Frank Han, and Quy Ta. Dell EMC Ready Solutions for AI – Deep Learning with NVIDIA