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Rengan Xu
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2020 – today
- 2024
- [c14]Rengan Xu
, Junjie Yang
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention. RecSys 2024: 778-780 - [i3]Mingwei Tang, Meng Liu, Hong Li, Junjie Yang, Chenglin Wei, Boyang Li, Dai Li, Rengan Xu, Yifan Xu, Zehua Zhang, Xiangyu Wang, Linfeng Liu, Yuelei Xie, Chengye Liu, Labib Fawaz, Li Li, Hongnan Wang, Bill Zhu, Sri Reddy:
Async Learned User Embeddings for Ads Delivery Optimization. CoRR abs/2406.05898 (2024) - [i2]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. CoRR abs/2409.15373 (2024)
2010 – 2019
- 2019
- [c13]Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. ISC 2019: 23-39 - [i1]Derya Çavdar, 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:
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. CoRR abs/1905.04035 (2019) - 2018
- [j3]Michael Wolfe, Seyong Lee
The OpenACC data model: Preliminary study on its major challenges and implementations. Parallel Comput. 78: 15-27 (2018) - [c12]Rengan Xu, Frank Han, Quy Ta:
Deep Learning at Scale on NVIDIA V100 Accelerators. PMBS@SC 2018: 23-32 - 2017
- [c11]Michael Wolfe, Seyong Lee
Implementing the OpenACC Data Model. IPDPS Workshops 2017: 662-672 - 2016
- [j2]Xiaonan Tian, Rengan Xu, Yonghong Yan, Sunita Chandrasekaran, Deepak Eachempati, Barbara M. Chapman:
Compiler transformation of nested loops for general purpose GPUs. Concurr. Comput. Pract. Exp. 28(2): 537-556 (2016) - [c10]Xiaonan Tian, Dounia Khaldi, Deepak Eachempati, Rengan Xu, Barbara M. Chapman:
Optimizing GPU Register Usage: Extensions to OpenACC and Compiler Optimizations. ICPP 2016: 572-581 - [c9]Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian, Barbara M. Chapman:
An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling. ISC 2016: 3-20 - 2015
- [j1]Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Barbara M. Chapman:
Multi-GPU Support on Single Node Using Directive-Based Programming Model. Sci. Program. 2015: 621730:1-621730:15 (2015) - 2014
- [c8]Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman, Oscar R. Hernandez:
A Validation Testsuite for OpenACC 1.0. IPDPS Workshops 2014: 1407-1416 - [c7]Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara M. Chapman:
NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model. LCPC 2014: 67-81 - [c6]Rengan Xu, Xiaonan Tian, Yonghong Yan, Sunita Chandrasekaran, Barbara M. Chapman:
Reduction Operations in Parallel Loops for GPGPUs. PMAM 2014: 10 - [c5]Rengan Xu, Maxime R. Hugues, Henri Calandra, Sunita Chandrasekaran, Barbara M. Chapman:
Accelerating Kirchhoff migration on GPU using directives. WACCPD@SC 2014: 37-46 - [c4]Guido Juckeland
SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance. PMBS@SC 2014: 46-67 - 2013
- [c3]Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman:
Exploring Programming Multi-GPUs Using OpenMP and OpenACC-Based Hybrid Model. IPDPS Workshops 2013: 1169-1176 - [c2]Rengan Xu, Mauricio Araya-Polo, Barbara M. Chapman:
Filesystem Aware Scalable I/O Framework for Data-Intensive Parallel Applications. IPDPS Workshops 2013: 2007-2014 - [c1]Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara M. Chapman:
Compiling a High-Level Directive-Based Programming Model for GPGPUs. LCPC 2013: 105-120
Coauthor Index
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