Markus Eisenbach

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 21

Top Topics

Quantum Computing

Multiple Scattering

Top Venues

Comput. Phys. Commun.

Publications

Massimiliano Lupo Pasini, Mariia Karabin, Markus Eisenbach
Transferring predictions of formation energy across lattices of increasing size. Mach. Learn. Sci. Technol. 5 (2) (2024)
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. Future Gener. Comput. Syst. 161 (2024)
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)
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 Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim 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)
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 (2023)
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)
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)
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 (2022)
Markus Eisenbach, Mariia Karabin, Massimiliano Lupo Pasini, Junqi Yin
Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials. SMC (2022)
Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach
A scalable algorithm for the optimization of neural network architectures. Parallel Comput. (2021)
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)
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 (2020)
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)
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 (2019)
Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach
A greedy constructive algorithm for the optimization of neural network architectures. CoRR (2019)
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 (2019)
Xianglin Liu, Yang Wang, Markus Eisenbach, G. Malcolm Stocks
Fully-relativistic full-potential multiple scattering theory: A pathology-free scheme. Comput. Phys. Commun. 224 (2018)
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 (2017)
Ying Wai Li, Markus Eisenbach
A Histogram-Free Multicanonical Monte Carlo Algorithm for the Basis Expansion of Density of States. PASC (2017)
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 (2017)
Markus Eisenbach
Large-Scale Calculations for Material Sciences Using Accelerators to Improve Time- and Energy-to-Solution. Comput. Sci. Eng. 19 (1) (2017)
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 (2015)
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)
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)
Markus Eisenbach, C.-G. Zhou, Donald M. C. Nicholson, G. Brown, Jeffrey M. Larkin, Thomas C. Schulthess
computation of free energies in nanoscale systems. SC (2009)
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
superconductors. SC (2008)
Yang Wang, G. Malcolm Stocks, Aurelian Rusanu, Donald M. C. Nicholson, Markus Eisenbach, J. S. Faulkner
Teraflop Computing for Nanoscience. CDES (2006)