Accelerating Ab Initio Nucleon Structure Calculations with All-Mode-Averaging on Gordon. - Meifeng Lin; Yasumichi Aoki; Thomas Blum; Taku Izubuchi; Chulwoo Jung; Shigemi Ohta; Eigo Shintani; Takeshi Yamazaki; Shoichi Sasaki (XSEDE, 2014)

Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler. - Eric Papenhausen; Bing Wang 007; Harper Langston; Muthu Manikandan Baskaran; Thomas Henretty; Taku Izubuchi; Ann Johnson; Chulwoo Jung; Meifeng Lin; Benoît Meister; Klaus Mueller 001; Richard Lethin (VISSOFT, 2015)

A Scalable Task Parallelism Approach for LU Decomposition with Multicore CPUs. - Verinder S. Rana; Meifeng Lin; Barbara M. Chapman (ESPM2@SC, 2016)

Performance Portability Strategies for Grid C++ Expression Templates. - Peter A. Boyle; Michael A. Clark; Carleton DeTar; Meifeng Lin; Verinder S. Rana; Alejandro Vaquero Avilés Casco (CoRR, 2017)

High-Performance Multi-Mode Ptychography Reconstruction on Distributed GPUs. - Zhihua Dong; Yao-Lung L. Fang; Xiaojing Huang; Hanfei Yan; Sungsoo Ha; Wei Xu 020; Yong S. Chu; Stuart I. Campbell; Meifeng Lin (CoRR, 2018)

Best Practices in Running Collaborative GPU Hackathons: Advancing Scientific Applications with a Sustained Impact. - Sunita Chandrasekaran; Guido Juckeland; Meifeng Lin; Matthew Otten; Dirk Pleiter; John E. Stone; Juan Lucio-Vega; Michael Zingale; Fernanda S. Foertter (Comput. Sci. Eng., 2018)

Approximate Inverse Chain Preconditioner: Iteration Count Case Study for Spectral Support Solvers. - Harper Langston; Pierre-David Letourneau; Julia Wei; Larry Weintraub; Mitchell Tong Harris; Richard Lethin; Eric Papenhausen; Meifeng Lin (HPEC, 2020)

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I). - Barbara M. Chapman; Buu Pham; Charlene Yang; Christopher S. Daley; Colleen Bertoni; Dhruva Kulkarni; Dossay Oryspayev; Ed D'Azevedo; Johannes Doerfert; Keren Zhou 001; Kiran Ravikumar; Mark Gordon; et al. (IWOMP, 2021)

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). - Barbara M. Chapman; Buu Pham; Charlene Yang; Christopher S. Daley; Colleen Bertoni; Dhruva Kulkarni; Dossay Oryspayev; Ed D'Azevedo; Johannes Doerfert; Keren Zhou 001; Kiran Ravikumar; Mark Gordon; et al. (IWOMP, 2021)

Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit. - Haiwang Yu; Zhihua Dong; Kyle Knoepfel; Meifeng Lin; Brett Viren; Kwangmin Yu (CoRR, 2021)

Porting HEP Parameterized Calorimeter Simulation Code to GPUs. - Zhihua Dong; Heather M. Gray; Charles Leggett; Meifeng Lin; Vincent R. Pascuzzi; Kwangmin Yu (Frontiers Big Data, 2021)

Methods and Results for Quantum Optimal Pulse Control on Superconducting Qubit Systems. - Elisha Siddiqui Matekole; Yao-Lung L. Fang; Meifeng Lin (IPDPS Workshops, 2022)

COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading. - Alok Mishra 002; Smeet Chheda; Carlos Soto 003; Abid Muslim Malik; Meifeng Lin; Barbara M. Chapman (IPDPS Workshops, 2022)

OpenMP application experiences: Porting to accelerated nodes. - Seonmyeong Bak; Colleen Bertoni; Swen Boehm; Reuben D. Budiardja; Barbara M. Chapman; Johannes Doerfert; Markus Eisenbach 002; Hal Finkel; Oscar R. Hernandez; Joseph Huber; Shintaro Iwasaki; Vivek Kale; et al. (Parallel Comput., 2022)

OpenMP Advisor: A Compiler Tool for Heterogeneous Architectures. - Alok Mishra 002; Abid Muslim Malik; Meifeng Lin; Barbara M. Chapman (IWOMP, 2023)

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation. - Dmitrii Torbunov; Yi Huang 019; Haiwang Yu; Jin Huang; Shinjae Yoo; Meifeng Lin; Brett Viren; Yihui Ren 001 (WACV, 2023)

OpenMP Advisor. - Alok Mishra 002; Abid M. Malik; Meifeng Lin; Barbara M. Chapman (CoRR, 2023)

Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation. - Dmitrii Torbunov; Yi Huang 019; Huan-Hsin Tseng; Haiwang Yu; Jin Huang; Shinjae Yoo; Meifeng Lin; Brett Viren; Yihui Ren 001 (CoRR, 2023)

Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL. - Meifeng Lin; Zhihua Dong; Tianle Wang 001; Mohammad Atif; Meghna Battacharya; Kyle Knoepfel; Charles Leggett; Brett Viren; Haiwang Yu (CoRR, 2023)

Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models. - Yi Huang 019; Dmitrii Torbunov; Brett Viren; Haiwang Yu; Jin Huang; Meifeng Lin; Yihui Ren 001 (CoRR, 2023)

Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics. - Mohammad Atif; Meghna Battacharya; Paolo Calafiura; Taylor Childers; Mark Dewing; Zhihua Dong; Oliver Gutsche; Salman Habib 002; Kyle Knoepfel; Matti Kortelainen; Ka Hei Martin Kwok; Charles Leggett; et al. (CoRR, 2023)

Accelerating scientific discoveries through data-driven innovations. - Francis J. Alexander; Meifeng Lin; Xiaoning Qian; Byung-Jun Yoon (Patterns, 2023)

Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence. - Mohammad Atif; Pulkit Dubey; Pratik P. Aghor; Vanessa López-Marrero; Tao Zhang; Abdullah Sharfuddin; Kwangmin Yu; Fan Yang; Foluso Ladeinde; Yangang Liu; Meifeng Lin; Lingda Li (SC Workshops, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Unpaired image translation to mitigate domain shift in liquid argon time projection chamber detector responses. - Yi Huang 019; Dmitrii Torbunov; Brett Viren; Haiwang Yu; Jin Huang; Meifeng Lin; Yihui Ren 001 (Mach. Learn. Sci. Technol., 2024)

Towards accelerating particle-resolved direct numerical simulation with neural operators. - Mohammad Atif; Vanessa López-Marrero; Tao Zhang; Abdullah Sharfuddin; Kwangmin Yu; Jiaqi Yang; Fan Yang; Foluso Ladeinde; Yangang Liu; Meifeng Lin; Lingda Li (Stat. Anal. Data Min., 2024)

A Microbenchmark Framework for Performance Evaluation of OpenMP Target Offloading. - Mohammad Atif; Tianle Wang 001; Zhihua Dong; Charles Leggett; Meifeng Lin (CoRR, 2025)