Meifeng Lin

According to our database, Meifeng Lin authored at least 22 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Accelerating scientific discoveries through data-driven innovations.

Francis J. Alexander, Meifeng Lin, Xiaoning Qian, Byung-Jun Yoon

Patterns, November, 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, Kyle Knoepfel, Matti Kortelainen, Ka Hei Martin Kwok, Charles Leggett, Meifeng Lin, Vincent R. Pascuzzi, Alexei Strelchenko, Vakhtang Tsulaia, Brett Viren, Tianle Wang, Beomki Yeo, 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, Dmitrii Torbunov, Brett Viren, Haiwang Yu, Jin Huang, Meifeng Lin, Yihui Ren

CoRR, 2023

Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL.

Meifeng Lin, Zhihua Dong, Tianle Wang, Mohammad Atif, Meghna Battacharya, Kyle Knoepfel, Charles Leggett, Brett Viren, Haiwang Yu

CoRR, 2023

Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation.

Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren

CoRR, 2023

OpenMP Advisor.

Alok Mishra, Abid M. Malik, Meifeng Lin, Barbara M. Chapman

CoRR, 2023

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.

Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

OpenMP Advisor: A Compiler Tool for Heterogeneous Architectures.

Alok Mishra, Abid Muslim Malik, Meifeng Lin, Barbara M. Chapman

Proceedings of the OpenMP: Advanced Task-Based, Device and Compiler Programming, 2023

2022

OpenMP application experiences: Porting to accelerated nodes.

Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert, Markus Eisenbach, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P. K. Yeung

Parallel Comput., 2022

COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading.

Alok Mishra, Smeet Chheda, Carlos Soto, Abid Muslim Malik, Meifeng Lin, Barbara M. Chapman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Methods and Results for Quantum Optimal Pulse Control on Superconducting Qubit Systems.

Elisha Siddiqui Matekole, Yao-Lung L. Fang, Meifeng Lin

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

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

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

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, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

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, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

2020

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

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

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

High-Performance Multi-Mode Ptychography Reconstruction on Distributed GPUs.

Zhihua Dong, Yao-Lung L. Fang, Xiaojing Huang, Hanfei Yan, Sungsoo Ha, Wei Xu, Yong S. Chu, Stuart I. Campbell, Meifeng Lin

CoRR, 2018

2017

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

2016

A Scalable Task Parallelism Approach for LU Decomposition with Multicore CPUs.

Verinder S. Rana, Meifeng Lin, Barbara M. Chapman

Proceedings of the Second International Workshop on Extreme Scale Programming Models and Middleware, 2016

2015

Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler.

Eric Papenhausen, Bing Wang, Harper Langston, Muthu Manikandan Baskaran, Thomas Henretty, Taku Izubuchi, Ann Johnson, Chulwoo Jung, Meifeng Lin, Benoît Meister, Klaus Mueller, Richard Lethin

Proceedings of the 3rd IEEE Working Conference on Software Visualization, 2015

2014

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

Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014