Computer Based Simulation of Chromosome Abnormality. - Wei Wu 016; Xiaoli Yang; Bin Chen; Zhenpeng Zhao; Jason Lacny; Charles Tseng (BIOCOMP, 2009)

Virtual chromosome modeling for learning human cytogenetics. - Xiaoli Yang; Wei Wu 016; Ding Wen; Bin Chen; Jason Lacny; Charles Tseng (ICCA, 2010)

Algorithms for modeling structural changes in human chromosomes. - Xiaoli Yang; Wei Wu 016; Charles C. Tseng (Comput. Methods Programs Biomed., 2013)

A Scientific Function Test Framework for Modular Environmental Model Development: Application to the Community Land Model. - Dali Wang; Tomislav Janjusic; Colleen Iversen; Peter E. Thornton; Misha Karssovski; Wei Wu 016; Yang Xu 002 (SE4HPCS@ICSE, 2015)

Hierarchical DAG Scheduling for Hybrid Distributed Systems. - Wei Wu 016; Aurélien Bouteiller; George Bosilca; Mathieu Faverge; Jack J. Dongarra (IPDPS, 2015)

BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing. - Linnan Wang; Wei Wu 016; Jianxiong Xiao; Yi Yang 018 (CoRR, 2015)

Large Scale Artificial Neural Network Training Using Multi-GPUs. - Linnan Wang; Wei Wu 016; Jianxiong Xiao; Yang Yi (CoRR, 2015)

GPU-Aware Non-contiguous Data Movement In Open MPI. - Wei Wu 016; George Bosilca; Rolf Vandevaart; Sylvain Jeaugey; Jack J. Dongarra (HPDC, 2016)

BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing. - Linnan Wang; Wei Wu 016; Zenglin Xu; Jianxiong Xiao; Yi Yang 018 (ICS, 2016)

Implementing directed acyclic graphs with the heterogeneous system architecture. - Sooraj Puthoor; Ashwin M. Aji; Shuai Che; Mayank Daga; Wei Wu 016; Bradford M. Beckmann; Gregory Rodgers (GPGPU@PPoPP, 2016)

Compiler technologies for understanding legacy scientific code: A case study on an ACME land module. - Dali Wang; Yu Pei; Oscar R. Hernandez; Wei Wu 016; Zhuo Yao; Youngsung Kim; Michael Wolfe; Ryan Kitchen (ICCS, 2017)

A Web-based Visual Analytic Framework for Understanding Large-scale Environmental Models: A Use Case for The Community Land Model. - Yang Xu 002; Dali Wang; Tomislav Janjusic; Wei Wu 016; Yu Pei; Zhuo Yao (ICCS, 2017)

Efficient Communications in Training Large Scale Neural Networks. - Yiyang Zhao; Linnan Wang; Wei Wu 016; George Bosilca; Richard W. Vuduc; Jinmian Ye; Wenqi Tang; Zenglin Xu (ACM Multimedia (Thematic Workshops), 2017)

ADAPT: an event-based adaptive collective communication framework. - Xi Luo; Wei Wu 016; George Bosilca; Thananon Patinyasakdikul; Linnan Wang; Jack J. Dongarra (HPDC, 2018)

Superneurons: dynamic GPU memory management for training deep neural networks. - Linnan Wang; Jinmian Ye; Yiyang Zhao; Wei Wu 016; Ang Li 006; Shuaiwen Leon Song; Zenglin Xu; Tim Kraska (PPoPP, 2018)

SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks. - Linnan Wang; Wei Wu 016; Yiyang Zhao; Junyu Zhang; Hang Liu 001; George Bosilca; Jack J. Dongarra; Maurice Herlihy; Rodrigo Fonseca (CoRR, 2018)

O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning. - Tong Geng; Tianqi Wang; Chunshu Wu; Chen Yang 010; Wei Wu 016; Ang Li 006; Martin C. Herbordt (ICS, 2019)

Flexible Data Redistribution in a Task-Based Runtime System. - Qinglei Cao; George Bosilca; Wei Wu 016; Dong Zhong; Aurelien Bouteiller; Jack J. Dongarra (CLUSTER, 2020)

HAN: a Hierarchical AutotuNed Collective Communication Framework. - Xi Luo; Wei Wu 016; George Bosilca; Yu Pei; Qinglei Cao; Thananon Patinyasakdikul; Dong Zhong; Jack J. Dongarra (CLUSTER, 2020)

FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. - Linnan Wang; Wei Wu 016; Junyu Zhang; Hang Liu 001; George Bosilca; Maurice Herlihy; Rodrigo Fonseca (HPDC, 2020)

Task bench: a parameterized benchmark for evaluating parallel runtime performance. - Elliott Slaughter; Wei Wu 016; Yuankun Fu; Legend Brandenburg; Nicolai Garcia; Wilhem Kautz; Emily Marx; Kaleb S. Morris; Qinglei Cao; George Bosilca; Seema Mirchandaney; Wonchan Lee; et al. (SC, 2020)

O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. - Tong Geng; Ang Li 006; Tianqi Wang; Chunshu Wu; Yanfei Li; Runbin Shi; Wei Wu 016; Martin C. Herbordt (IEEE Trans. Parallel Distributed Syst., 2021)

Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization. - Colin Unger; Zhihao Jia; Wei Wu 016; Sina Lin; Mandeep Baines; Carlos Efrain Quintero Narvaez; Vinay Ramakrishnaiah; Nirmal Prajapati; Patrick S. McCormick; Jamaludin Mohd-Yusof; Xi Luo; Dheevatsa Mudigere; et al. (OSDI, 2022)

Evaluating Data Redistribution in PaRSEC. - Qinglei Cao; George Bosilca; Nuria Losada; Wei Wu 016; Dong Zhong; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2022)