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Markus Eisenbach 0002
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- affiliation: Oak Ridge National Laboratory, TN, USA
Other persons with the same name
- Markus Eisenbach 0001
— Technische Universität Ilmenau, Germany
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2020 – today
- 2024
- [j11]Thomas Beck
Integrating quantum computing resources into scientific HPC ecosystems. Future Gener. Comput. Syst. 161: 11-25 (2024) - [j10]Massimiliano Lupo Pasini
Transferring predictions of formation energy across lattices of increasing size. Mach. Learn. Sci. Technol. 5(2): 25015 (2024) - [i4]Thomas Beck, Alessandro Baroni, Ryan S. Bennink, Gilles Buchs, Eduardo Antonio Coello Pérez, Markus Eisenbach, Rafael Ferreira da Silva, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Peter Groszkowski, Travis S. Humble, Ryan Landfield, Ketan Maheshwari, Sarp Oral, Michael A. Sandoval, Amir Shehata, In-Saeng Suh, Christopher Zimmer:
Integrating Quantum Computing Resources into Scientific HPC Ecosystems. CoRR abs/2408.16159 (2024) - 2023
- [c13]Scott Atchley
Frontier: Exploring Exascale. SC 2023: 52:1-52:16 - [c12]Nicholas Malaya
Experiences readying applications for Exascale. SC 2023: 53:1-53:13 - [c11]Reuben D. Budiardja
Ready for the Frontier: Preparing Applications for the World's First Exascale System. ISC 2023: 182-201 - [i3]Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov, Noel Chalmers, Jacqueline Chen, Nicholas Curtis, Marc Day, Markus Eisenbach, Lucas Esclapez, Alessandro Fanfarillo, William Freitag, Nicholas Frontiere, Antigoni Georgiadou, Joseph Glenski, Kalyana C. Gottiparthi, Marc T. Henry de Frahan, Gustav R. Jansen, Wayne Joubert, Justin G. Lietz, Jakub Kurzak, Nicholas Malaya, Bronson Messer, Damon McDougall, Paul Mullowney, Stephen Nichols, Matthew R. Norman, Thomas Papatheodore, Jon S. Rood, Philip C. Roth, Sarat Sreepathi, James B. White III
Experiences Readying Applications for Exascale. CoRR abs/2310.01586 (2023) - 2022
- [j9]Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109: 102856 (2022) - [c10]Wayne Joubert, Bronson Messer, Philip C. Roth, Antigoni Georgiadou, Justin Lietz, Markus Eisenbach, Junqi Yin
Learning to Scale the Summit: AI for Science on a Leadership Supercomputer. IPDPS Workshops 2022: 1246-1255 - [c9]Markus Eisenbach
Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials. SMC 2022: 75-86 - 2021
- [j8]Massimiliano Lupo Pasini
A scalable algorithm for the optimization of neural network architectures. Parallel Comput. 104-105: 102788 (2021) - [c8]Massimiliano Lupo Pasini
Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks. SMC 2021: 79-98 - 2020
- [c7]Rick Archibald
Integrating Deep Learning in Domain Sciences at Exascale. SMC 2020: 35-50 - [i2]Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin:
Integrating Deep Learning in Domain Sciences at Exascale. CoRR abs/2011.11188 (2020)
2010 – 2019
- 2019
- [j7]Zongrui Pei
Error controlling of the combined Cluster-Expansion and Wang-Landau Monte-Carlo method and its application to FeCo. Comput. Phys. Commun. 235: 95-101 (2019) - [j6]Alfred C. K. Farris
Histogram-free multicanonical Monte Carlo sampling to calculate the density of states. Comput. Phys. Commun. 235: 297-304 (2019) - [i1]Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach:
A greedy constructive algorithm for the optimization of neural network architectures. CoRR abs/1909.03306 (2019) - 2018
- [j5]Xianglin Liu
Fully-relativistic full-potential multiple scattering theory: A pathology-free scheme. Comput. Phys. Commun. 224: 265-272 (2018) - 2017
- [j4]Markus Eisenbach, Jeff Larkin, Justin Lutjens, Steven C. Rennich, James H. Rogers:
GPU acceleration of the Locally Selfconsistent Multiple Scattering code for first principles calculation of the ground state and statistical physics of materials. Comput. Phys. Commun. 211: 2-7 (2017) - [j3]Zongrui Pei
Acceleration of the Particle Swarm Optimization for Peierls-Nabarro modeling of dislocations in conventional and high-entropy alloys. Comput. Phys. Commun. 215: 7-12 (2017) - [j2]Markus Eisenbach:
Large-Scale Calculations for Material Sciences Using Accelerators to Improve Time- and Energy-to-Solution. Comput. Sci. Eng. 19(1): 83-85 (2017) - [c6]Ying Wai Li, Markus Eisenbach:
A Histogram-Free Multicanonical Monte Carlo Algorithm for the Basis Expansion of Density of States. PASC 2017: 10:1-10:7 - 2015
- [j1]Wayne Joubert, Rick Archibald
Accelerated application development: The ORNL Titan experience. Comput. Electr. Eng. 46: 123-138 (2015) - [c5]Christos Kartsaklis, Wayne Joubert, Oscar R. Hernandez, Markus Eisenbach
CUDA Grid-Level Task Progression Algorithms. HPCC/CSS/ICESS 2015: 1628-1632 - 2013
- [c4]Tiffany M. Mintz, Oscar R. Hernandez, Christos Kartsaklis, David E. Bernholdt
Toward Abstracting the Communication Intent in Applications to Improve Portability and Productivity. IPDPS Workshops 2013: 385-393
2000 – 2009
- 2009
- [c3]Markus Eisenbach, C.-G. Zhou, Donald M. C. Nicholson, G. Brown, Jeffrey M. Larkin, Thomas C. Schulthess:
A scalable method for ab initio computation of free energies in nanoscale systems. SC 2009 - 2008
- [c2]Gonzalo Alvarez, Michael S. Summers, Don E. Maxwell, Markus Eisenbach, Jeremy S. Meredith, Jeffrey M. Larkin, John M. Levesque, Thomas A. Maier, Paul R. C. Kent, Eduardo F. D'Azevedo, Thomas C. Schulthess:
New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-Tc superconductors. SC 2008: 61 - 2006
- [c1]Yang Wang, G. Malcolm Stocks, Aurelian Rusanu, Donald M. C. Nicholson, Markus Eisenbach, J. S. Faulkner:
Teraflop Computing for Nanoscience. CDES 2006: 265-271
Coauthor Index
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