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Publication search results
found 37 matches
- 2022
- Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36(2): 251-285 (2022) - Kazuto Ando, Rahul Bale, Chung-Gang Li, Satoshi Matsuoka, Keiji Onishi, Makoto Tsubokura:
Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19. Int. J. High Perform. Comput. Appl. 36(5-6): 568-586 (2022) - Pascal R. Bähr, Bruno Lang, Peer Ueberholz, Marton Ady, Roberto Kersevan:
Development of a hardware-accelerated simulation kernel for ultra-high vacuum with Nvidia RTX GPUs. Int. J. High Perform. Comput. Appl. 36(2): 141-152 (2022) - Mojtaba Barzegari, Liesbet Geris:
Highly scalable numerical simulation of coupled reaction-Diffusion systems with moving interfaces. Int. J. High Perform. Comput. Appl. 36(2): 198-213 (2022) - Roel Van Beeumen, Khaled Z. Ibrahim, Gregory D. Kahanamoku-Meyer, Norman Y. Yao, Chao Yang:
Enhancing scalability of a matrix-free eigensolver for studying many-body localization. Int. J. High Perform. Comput. Appl. 36(3): 307-319 (2022) - Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser:
Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. 36(5-6): 587-602 (2022) - Adrián Pérez Diéguez, Margarita Amor, Ramón Doallo, Akira Nukada, Satoshi Matsuoka:
Efficient high-precision integer multiplication on the GPU. Int. J. High Perform. Comput. Appl. 36(3): 356-369 (2022) - Thomas M. Evans, Andrew R. Siegel, Erik W. Draeger, Jack Deslippe, Marianne M. Francois, Timothy C. Germann, William E. Hart, Daniel F. Martin:
A survey of software implementations used by application codes in the Exascale Computing Project. Int. J. High Perform. Comput. Appl. 36(1): 5-12 (2022) - Thomas M. Evans, Julia C. White:
Multiphysics coupling in the Exascale computing project. Int. J. High Perform. Comput. Appl. 36(1): 3-4 (2022) - Sebastian Friedemann, Bruno Raffin:
An elastic framework for ensemble-based large-scale data assimilation. Int. J. High Perform. Comput. Appl. 36(4): 543-563 (2022) - Michiel Van Gendt, Tim Besard, Stefaan Vandenberghe, Bjorn De Sutter:
Productively accelerating positron emission tomography image reconstruction on graphics processing units with Julia. Int. J. High Perform. Comput. Appl. 36(3): 320-336 (2022) - Jatin Gharat, Bipin Kumar, Leena Ragha, Amit Barve, Shaik Mohammad Jeelani, John P. Clyne:
Development of NCL equivalent serial and parallel python routines for meteorological data analysis. Int. J. High Perform. Comput. Appl. 36(3): 337-355 (2022) - James Austin Harris, Ran Chu, Sean M. Couch, Anshu Dubey, Eirik Endeve, Antigoni Georgiadou, Rajeev Jain, Daniel Kasen, M. Paul Laiu, O. E. Bronson Messer, Jared O'Neal, Michael A. Sandoval, Klaus Weide:
Exascale models of stellar explosions: Quintessential multi-physics simulation. Int. J. High Perform. Comput. Appl. 36(1): 59-77 (2022) - Stephen Herbein, Tapasya Patki, Dong H. Ahn, Sebastian Mobo, Clark Hathaway, Silvina Caíno-Lores, James Corbett, David Domyancic, Thomas R. W. Scogland, Bronis R. de Supinski, Michela Taufer:
An analytical performance model of generalized hierarchical scheduling. Int. J. High Perform. Comput. Appl. 36(3): 289-306 (2022) - Yuta Hirokawa, Atsushi Yamada, Shunsuke Yamada, Masashi Noda, Mitsuharu Uemoto, Taisuke Boku, Kazuhiro Yabana:
Large-scale ab initio simulation of light-matter interaction at the atomic scale in Fugaku. Int. J. High Perform. Comput. Appl. 36(2): 182-197 (2022) - R. Lily Hu, Damien Pierce, Yusef Shafi, Anudhyan Boral, Vladimir Anisimov, Sella Nevo, Yi-Fan Chen:
Accelerating physics simulations with tensor processing units: An inundation modeling example. Int. J. High Perform. Comput. Appl. 36(4): 510-523 (2022) - Giovanni Isotton, Carlo Janna, Massimo Bernaschi:
A GPU-accelerated adaptive FSAI preconditioner for massively parallel simulations. Int. J. High Perform. Comput. Appl. 36(2): 153-166 (2022) - Andrew T. Kassen, Varun Shankar, Aaron L. Fogelson:
A fine-grained parallelization of the immersed boundary method. Int. J. High Perform. Comput. Appl. 36(4): 443-458 (2022) - Leigh Lapworth:
Parallel encryption of input and output data for HPC applications. Int. J. High Perform. Comput. Appl. 36(2): 231-250 (2022) - Isaac Lyngaas, Matthew R. Norman, Youngsung Kim:
SAM++: Porting the E3SM-MMF cloud resolving model using a C++ portability library. Int. J. High Perform. Comput. Appl. 36(2): 214-230 (2022) - Pablo Antonio Martínez, Biagio Peccerillo, Sandro Bartolini, José M. García, Gregorio Bernabé:
Performance portability in a real world application: PHAST applied to Caffe. Int. J. High Perform. Comput. Appl. 36(3): 419-439 (2022) - David McCallen, Houjun Tang, Suiwen Wu, Eric Eckert, Junfei Huang, N. Anders Petersson:
Coupling of regional geophysics and local soil-structure models in the EQSIM fault-to-structure earthquake simulation framework. Int. J. High Perform. Comput. Appl. 36(1): 78-92 (2022) - Jordan M. Musser, Ann S. Almgren, William D. Fullmer, Oscar Antepara, John B. Bell, Johannes P. Blaschke, Kevin Gott, Andrew Myers, Roberto Porcù, Deepak Rangarajan, Michele Rosso, Weiqun Zhang, Madhava Syamlal:
MFIX-Exa: A path toward exascale CFD-DEM simulations. Int. J. High Perform. Comput. Appl. 36(1): 40-58 (2022) - Matthew R. Norman, David A. Bader, Christopher Eldred, Walter M. Hannah, Benjamin R. Hillman, Christopher R. Jones, Jungmin M. Lee, L. Ruby Leung, Isaac Lyngaas, Kyle G. Pressel, Sarat Sreepathi, Mark A. Taylor, Xingqiu Yuan:
Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. Int. J. High Perform. Comput. Appl. 36(1): 93-105 (2022) - Hiroyuki Ootomo, Rio Yokota:
Recovering single precision accuracy from Tensor Cores while surpassing the FP32 theoretical peak performance. Int. J. High Perform. Comput. Appl. 36(4): 475-491 (2022) - Heather Pacella, Alec M. Dunton, Alireza Doostan, Gianluca Iaccarino:
Task-parallel in situ temporal compression of large-scale computational fluid dynamics data. Int. J. High Perform. Comput. Appl. 36(3): 388-418 (2022) - Marcin Rogowski, Lisandro Dalcín, Matteo Parsani, David E. Keyes:
Performance analysis of relaxation Runge-Kutta methods. Int. J. High Perform. Comput. Appl. 36(4): 524-542 (2022) - Dustin Ruda, Stefan Turek, Dirk Ribbrock, Peter Zajac:
Very fast finite element Poisson solvers on lower precision accelerator hardware: A proof of concept study for Nvidia Tesla V100. Int. J. High Perform. Comput. Appl. 36(4): 459-474 (2022) - Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - John A. Taylor, Pablo Rozas Larraondo, Bronis R. de Supinski:
Data-driven global weather predictions at high resolutions. Int. J. High Perform. Comput. Appl. 36(2): 130-140 (2022)
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