Michael A. Matheson

According to our database, Michael A. Matheson authored at least 20 papers between 1992 and 2024.

Collaborative distances:

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

2024

Mixed-precision numerics in scientific applications: survey and perspectives.

Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang

CoRR, 2024

2023

TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences.

Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser

Int. J. High Perform. Comput. Appl., November, 2023

Optimizing Communication in 2D Grid-Based MPI Applications at Exascale.

Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok

Proceedings of the 30th European MPI Users' Group Meeting, 2023

2022

Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale.

Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks.

Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021

PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints.

Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park

ACM Trans. Math. Softw., 2021

2020

Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation.

Drew Schmidt, Bronson Messer, M. Todd Young, Michael A. Matheson

CoRR, 2020

2019

Exascale Deep Learning for Scientific Inverse Problems.

Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson

CoRR, 2019

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints.

Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park

CoRR, 2019

2018

Defining Big Data Analytics Benchmarks for Next Generation Supercomputers.

Drew Schmidt, Junqi Yin, Michael A. Matheson, Bronson Messer, Mallikarjun Shankar

CoRR, 2018

Exascale deep learning for climate analytics.

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston

Proceedings of the International Conference for High Performance Computing, 2018

2017

Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes.

Drew Schmidt, Wei-Chen Chen, Michael A. Matheson, George Ostrouchov

Big Data Res., 2017

2016

Big data analytics on HPC architectures: Performance and cost.

Peter Xenopoulos, Jamison Daniel, Michael A. Matheson, Sreenivas R. Sukumar

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Mini-apps for high performance data analysis.

Sreenivas R. Sukumar, Michael A. Matheson, Ramakrishnan Kannan, Seung-Hwan Lim

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Kernels for scalable data analysis in science: Towards an architecture-portable future.

Sreenivas R. Sukumar, Ramakrishnan Kannan, Seung-Hwan Lim, Michael A. Matheson

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Immersive visualization for materials science data analysis using the Oculus Rift.

Margaret Drouhard, Chad A. Steed, Steven E. Hahn, Thomas Proffen, Jamison Daniel, Michael A. Matheson

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2011

Shock wave / turbulent boundary layer interactions.

Michael A. Matheson, Allan D. Grosvenor, Alexander A. Zheltovodov

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

1993

Computational Medicine: Bioelectric Field Problems.

Christopher R. Johnson, Robert S. MacLeod, Michael A. Matheson

Computer, 1993

Visualization blackboard-visualizing bioelectric fields.

Robert S. MacLeod, Christopher R. Johnson, Michael A. Matheson

IEEE Computer Graphics and Applications, 1993

1992

Visualization of Cardiac Bioelectricty - A Case Study.

Robert S. MacLeod, N. E. Harrison, Christopher R. Johnson, Michael A. Matheson

Proceedings of the 3rd IEEE Visualization Conference, 1992