Michael A. Matheson

26 papers A 5C 1Misc 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mixed-precision numerics in scientific applications: survey and perspectives. J. Supercomput. Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2025	—	`conf`	Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers. SC Workshops Woong Shin, Karl W. Schulz, Arthur Francisco Lorenzon, Matthias Maiterth, Bruno Villasenor Alvarez, Jordà Polo, Aditya Kashi, Hao Lu, Nicholson Koukpaizan, Antigoni Georgiadou, Matthew R. Norman, Wael R. Elwasif, Michael A. Matheson, Feiyi Wang, Nicholas Frontiere, Sarp Oral, Thomas Beck, Bronson Messer
2025	A	`conf`	Insights from Optimizing HPL Performance on Exascale Systems: A Comparative Analysis of Panel Factorization. SC Hao Lu, Michael A. Matheson, Noel Chalmers, Aditya Kashi, Nicholas Malaya, Feiyi Wang
2025	A	`conf`	Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine. SC Aditya Kashi, Nicholson Koukpaizan, Hao Lu, Michael A. Matheson, Sarp Oral, Feiyi Wang
2025	J	`jnl`	Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine. CoRR Aditya Kashi, Nicholson Koukpaizan, Hao Lu, Michael A. Matheson, Sarp Oral, Feiyi Wang
2024	J	`jnl`	Mixed-precision numerics in scientific applications: survey and perspectives. CoRR Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2023	C	`conf`	Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. EuroMPI Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok
2023	J	`jnl`	TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. Int. J. High Perform. Comput. Appl. Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser
2022	Misc	`conf`	Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. NSDI Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson
2022	A	`conf`	Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. SC Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang
2021	J	`jnl`	PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints. ACM Trans. Math. Softw. Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park
2020	J	`jnl`	Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation. CoRR Drew Schmidt, Bronson Messer, M. Todd Young, Michael A. Matheson
2019	J	`jnl`	Exascale Deep Learning for Scientific Inverse Problems. CoRR Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson
2019	J	`jnl`	PLANC: Parallel Low Rank Approximation with Non-negativity Constraints. CoRR Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park
2018	J	`jnl`	Defining Big Data Analytics Benchmarks for Next Generation Supercomputers. CoRR Drew Schmidt, Junqi Yin, Michael A. Matheson, Bronson Messer, Mallikarjun Shankar
2018	J	`jnl`	Exascale Deep Learning for Climate Analytics. CoRR 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
2018	A	`conf`	Exascale deep learning for climate analytics. SC 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
2017	J	`jnl`	Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes. Big Data Res. Drew Schmidt, Wei-Chen Chen, Michael A. Matheson, George Ostrouchov
2016	—	`conf`	Big data analytics on HPC architectures: Performance and cost. IEEE BigData Peter Xenopoulos, Jamison Daniel, Michael A. Matheson, Sreenivas R. Sukumar
2016	—	`conf`	Kernels for scalable data analysis in science: Towards an architecture-portable future. IEEE BigData Sreenivas R. Sukumar, Ramakrishnan Kannan, Seung-Hwan Lim, Michael A. Matheson
2016	—	`conf`	Mini-apps for high performance data analysis. IEEE BigData Sreenivas R. Sukumar, Michael A. Matheson, Ramakrishnan Kannan, Seung-Hwan Lim
2015	—	`conf`	Immersive visualization for materials science data analysis using the Oculus Rift. IEEE BigData Margaret Drouhard, Chad A. Steed, Steven E. Hahn, Thomas Proffen, Jamison Daniel, Michael A. Matheson
2011	—	`conf`	Shock wave / turbulent boundary layer interactions. SC Companion Michael A. Matheson, Allan D. Grosvenor, Alexander A. Zheltovodov
1993	J	`jnl`	Computational Medicine: Bioelectric Field Problems. Computer Christopher R. Johnson, Robert S. MacLeod, Michael A. Matheson
1993	J	`jnl`	Visualization blackboard-visualizing bioelectric fields. IEEE Computer Graphics and Applications Robert S. MacLeod, Christopher R. Johnson, Michael A. Matheson
1992	A	`conf`	Visualization of Cardiac Bioelectricty - A Case Study. IEEE Visualization Robert S. MacLeod, N. E. Harrison, Christopher R. Johnson, Michael A. Matheson