Markus Eisenbach

32 papers A 4B 3C 2Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Dimensionality Prediction in Hybrid Metal Halides via Feature Engineering and Class-Imbalance Mitigation. CoRR Mariia Karabin, Isaac Armstrong, Leo Beck, Paulina Apanel, Markus Eisenbach, David B. Mitzi, Hanna Terletska, Hendrik Heinz
2025	C	`conf`	Power-Capping Metric Evaluation for Improving Energy Efficiency in HPC Applications. ISC Maria Patrou, Thomas Wang, Wael R. Elwasif, Markus Eisenbach, Ross G. Miller, William F. Godoy, Oscar R. Hernandez
2025	J	`jnl`	Power-Capping Metric Evaluation for Improving Energy Efficiency. CoRR Maria Patrou, Thomas Wang, Wael R. Elwasif, Markus Eisenbach, Ross Miller, William F. Godoy, Oscar R. Hernandez
2025	—	`conf`	Preliminary Study on Fine-Grained Power and Energy Measurements on Grace Hopper GH200 with Open-Source Performance Tools. HPC Asia Workshops Oscar R. Hernandez, Thomas Wang, Wael R. Elwasif, Filippo Spiga, Francesca Tartaglione, Markus Eisenbach, Ross Miller
2024	J	`jnl`	Integrating Quantum Computing Resources into Scientific HPC Ecosystems. CoRR Thomas L. 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
2024	J	`jnl`	Integrating quantum computing resources into scientific HPC ecosystems. Future Gener. Comput. Syst. Thomas L. 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
2024	J	`jnl`	Transferring predictions of formation energy across lattices of increasing size. Mach. Learn. Sci. Technol. Massimiliano Lupo Pasini, Mariia Karabin, Markus Eisenbach
2023	J	`jnl`	Experiences Readying Applications for Exascale. CoRR 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
2023	A	`conf`	Experiences readying applications for Exascale. SC 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
2023	A	`conf`	Frontier: Exploring Exascale. SC 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
2023	C	`conf`	Ready for the Frontier: Preparing Applications for the World's First Exascale System. ISC 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
2022	—	`conf`	Learning to Scale the Summit: AI for Science on a Leadership Supercomputer. IPDPS Workshops Wayne Joubert, Bronson Messer, Philip C. Roth, Antigoni Georgiadou, Justin Lietz, Markus Eisenbach, Junqi Yin
2022	B	`conf`	Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials. SMC Markus Eisenbach, Mariia Karabin, Massimiliano Lupo Pasini, Junqi Yin
2022	J	`jnl`	OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 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
2021	J	`jnl`	A scalable algorithm for the optimization of neural network architectures. Parallel Comput. Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach
2021	B	`conf`	Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks. SMC Massimiliano Lupo Pasini, Marko Burcul, Samuel Temple Reeve, Markus Eisenbach, Simona Perotto
2020	B	`conf`	Integrating Deep Learning in Domain Sciences at Exascale. SMC 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
2020	J	`jnl`	Integrating Deep Learning in Domain Sciences at Exascale. CoRR 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
2019	J	`jnl`	A greedy constructive algorithm for the optimization of neural network architectures. CoRR Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach
2019	J	`jnl`	Error controlling of the combined Cluster-Expansion and Wang-Landau Monte-Carlo method and its application to FeCo. Comput. Phys. Commun. Zongrui Pei, Markus Eisenbach, Sai Mu, G. Malcolm Stocks
2019	J	`jnl`	Histogram-free multicanonical Monte Carlo sampling to calculate the density of states. Comput. Phys. Commun. Alfred C. K. Farris, Ying Wai Li, Markus Eisenbach
2018	J	`jnl`	Fully-relativistic full-potential multiple scattering theory: A pathology-free scheme. Comput. Phys. Commun. Xianglin Liu, Yang Wang, Markus Eisenbach, G. Malcolm Stocks
2017	—	`conf`	A Histogram-Free Multicanonical Monte Carlo Algorithm for the Basis Expansion of Density of States. PASC Ying Wai Li, Markus Eisenbach
2017	J	`jnl`	Acceleration of the Particle Swarm Optimization for Peierls-Nabarro modeling of dislocations in conventional and high-entropy alloys. Comput. Phys. Commun. Zongrui Pei, Markus Eisenbach
2017	J	`jnl`	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. Markus Eisenbach, Jeff Larkin, Justin Lutjens, Steven C. Rennich, James H. Rogers
2017	J	`jnl`	Large-Scale Calculations for Material Sciences Using Accelerators to Improve Time- and Energy-to-Solution. Comput. Sci. Eng. Markus Eisenbach
2015	J	`jnl`	Accelerated application development: The ORNL Titan experience. Comput. Electr. Eng. 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
2015	—	`conf`	CUDA Grid-Level Task Progression Algorithms. HPCC/CSS/ICESS Christos Kartsaklis, Wayne Joubert, Oscar R. Hernandez, Markus Eisenbach, Wael R. Elwasif, David E. Bernholdt
2013	—	`conf`	Toward Abstracting the Communication Intent in Applications to Improve Portability and Productivity. IPDPS Workshops Tiffany M. Mintz, Oscar R. Hernandez, Christos Kartsaklis, David E. Bernholdt, Markus Eisenbach, Swaroop Pophale
2009	A	`conf`	A scalable method for SC Markus Eisenbach, C.-G. Zhou, Donald M. C. Nicholson, G. Brown, Jeffrey M. Larkin, Thomas C. Schulthess
2008	A	`conf`	New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high- SC 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
2006	—	`conf`	Teraflop Computing for Nanoscience. CDES Yang Wang, G. Malcolm Stocks, Aurelian Rusanu, Donald M. C. Nicholson, Markus Eisenbach, J. S. Faulkner