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ORCIDMarkus Eisenbach 0002
Person information
- affiliation: Oak Ridge National Laboratory, TN, USA
Other persons with the same name
- Markus Eisenbach 0001
![[0000-0003-4951-622X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4951-622X")
— Technische Universität Ilmenau, Germany
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Journal Articles
- 2022
[j9]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:
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109: 102856 (2022)- 2021
- [j8]Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach:
A scalable algorithm for the optimization of neural network architectures. Parallel Comput. 104-105: 102788 (2021) - 2019
- [j7]Zongrui Pei, Markus Eisenbach, Sai Mu, G. Malcolm Stocks:
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, Ying Wai Li, Markus Eisenbach:
Histogram-free multicanonical Monte Carlo sampling to calculate the density of states. Comput. Phys. Commun. 235: 297-304 (2019) - 2018
- [j5]Xianglin Liu, Yang Wang, Markus Eisenbach, G. Malcolm Stocks:
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, Markus Eisenbach:
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) - 2015
- [j1]Wayne Joubert, Rick Archibald, Mark A. Berrill, W. Michael Brown, Markus Eisenbach, Ray W. Grout, Jeff Larkin, John M. Levesque, Bronson Messer, Matthew R. Norman, Bobby Philip, Ramanan Sankaran, Arnold N. Tharrington, John A. Turner:
Accelerated application development: The ORNL Titan experience. Comput. Electr. Eng. 46: 123-138 (2015)
Conference and Workshop Papers
- 2023
- [c13]Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung:
Frontier: Exploring Exascale. SC 2023: 52:1-52:16 - [c12]Nicholas Malaya, Bronson Messer, Joseph Glenski, Antigoni Georgiadou, Justin Lietz, Kalyana C. Gottiparthi, Marc Day, Jackie Chen, Jon S. Rood, Lucas Esclapez, James B. White III, Gustav R. Jansen, Nicholas Curtis, Stephen Nichols, Jakub Kurzak, Noel Chalmers, Chip Freitag, Paul T. Bauman, Alessandro Fanfarillo, Reuben D. Budiardja, Thomas Papatheodore, Nicholas Frontiere, Damon McDougall, Matthew R. Norman, Sarat Sreepathi, Philip C. Roth, Dmytro Bykov, Noah Wolfe, Paul Mullowney, Markus Eisenbach, Marc T. Henry de Frahan, Wayne Joubert:
Experiences readying applications for Exascale. SC 2023: 53:1-53:13 - [c11]Reuben D. Budiardja, Mark A. Berrill, Markus Eisenbach, Gustav R. Jansen, Wayne Joubert, Stephen Nichols, David M. Rogers, Arnold N. Tharrington, O. E. Bronson Messer:
Ready for the Frontier: Preparing Applications for the World's First Exascale System. ISC 2023: 182-201 - 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, Mariia Karabin, Massimiliano Lupo Pasini, Junqi Yin:
Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials. SMC 2022: 75-86 - 2021
- [c8]Massimiliano Lupo Pasini, Marko Burcul, Samuel Temple Reeve, Markus Eisenbach, Simona Perotto:
Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks. SMC 2021: 79-98 - 2020
- [c7]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. SMC 2020: 35-50 - 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
- [c5]Christos Kartsaklis, Wayne Joubert, Oscar R. Hernandez, Markus Eisenbach, Wael R. Elwasif, David E. Bernholdt:
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, Markus Eisenbach, Swaroop Pophale:
Toward Abstracting the Communication Intent in Applications to Improve Portability and Productivity. IPDPS Workshops 2013: 385-393 - 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
Informal and Other Publications
- 2023
- [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, Noah Wolfe:
Experiences Readying Applications for Exascale. CoRR abs/2310.01586 (2023) - 2020
- [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) - 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)
Coauthor Index
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