- Edmond Chow:
Editorial. Int. J. High Perform. Comput. Appl. 37(6): 649 (2023) - John M. Dennis, Allison H. Baker, Brian Dobbins, Michael M. Bell, Jian Sun, Youngsung Kim, Ting-Yu Cha:
Enabling efficient execution of a variational data assimilation application. Int. J. High Perform. Comput. Appl. 37(2): 101-114 (2023) - Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - Jack J. Dongarra, Bernard Tourancheau:
Guest editors note: Special issue on clusters, clouds, and data for scientific computing. Int. J. High Perform. Comput. Appl. 37(3-4): 211-212 (2023) - Lukas Einkemmer, Alexander Moriggl:
Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large-scale GPU-equipped supercomputers. Int. J. High Perform. Comput. Appl. 37(2): 180-196 (2023) - Jorge Ejarque, Rosa M. Badia:
Automatizing the creation of specialized high-performance computing containers. Int. J. High Perform. Comput. Appl. 37(3-4): 272-287 (2023) - Marc T. Henry de Frahan, Jon S. Rood, Marcus S. Day, Hariswaran Sitaraman, Shashank Yellapantula, Bruce A. Perry, Ray W. Grout, Ann S. Almgren, Weiqun Zhang, John B. Bell, Jacqueline H. Chen:
PeleC: An adaptive mesh refinement solver for compressible reacting flows. Int. J. High Perform. Comput. Appl. 37(2): 115-131 (2023) - Megan Hickman Fulp, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun:
Accelerated dynamic data reduction using spatial and temporal properties. Int. J. High Perform. Comput. Appl. 37(5): 539-559 (2023) - Marc González, Enric Morancho:
Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications. Int. J. High Perform. Comput. Appl. 37(5): 626-646 (2023) - Philipp Grete, Joshua C. Dolence, Jonah M. Miller, Joshua Brown, Ben Ryan, Andrew Gaspar, Forrest Wolfgang Glines, Sriram Swaminarayan, Jonas Lippuner, Clell J. Solomon, Galen M. Shipman, Christoph Junghans, Daniel Holladay, James M. Stone, Luke F. Roberts:
Parthenon - a performance portable block-structured adaptive mesh refinement framework. Int. J. High Perform. Comput. Appl. 37(5): 465-486 (2023) - Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser:
TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. Int. J. High Perform. Comput. Appl. 37(6): 666-682 (2023) - Sergio Iserte, Alejandro González-Barberá, Paloma Barreda, Krzysztof Rojek:
A study on the performance of distributed training of data-driven CFD simulations. Int. J. High Perform. Comput. Appl. 37(5): 503-515 (2023) - Emmanuel Jeannot, Guillaume Pallez, Nicolas Vidal:
IO-aware Job-Scheduling: Exploiting the Impacts of Workload Characterizations to select the Mapping Strategy. Int. J. High Perform. Comput. Appl. 37(3-4): 213-228 (2023) - Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash:
Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. 37(3-4): 394-411 (2023) - Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis:
Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. Int. J. High Perform. Comput. Appl. 37(5): 487-502 (2023) - Martin Kronbichler, Dmytro Sashko, Peter Munch:
Enhancing data locality of the conjugate gradient method for high-order matrix-free finite-element implementations. Int. J. High Perform. Comput. Appl. 37(2): 61-81 (2023) - Zhe Li, Chengkun Wu, Yishui Li, Runduo Liu, Kai Lu, Ruibo Wang, Jie Liu, Chunye Gong, Canqun Yang, Xin Wang, Chang-Guo Zhan, Hai-Bin Luo:
Free energy perturbation-based large-scale virtual screening for effective drug discovery against COVID-19. Int. J. High Perform. Comput. Appl. 37(1): 45-57 (2023) - Florent Lopez, Théo Mary:
Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint. Int. J. High Perform. Comput. Appl. 37(2): 165-179 (2023) - Piotr Luszczek, Wissam M. Sid-Lakhdar, Jack J. Dongarra:
Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering. Int. J. High Perform. Comput. Appl. 37(3-4): 229-244 (2023) - Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler:
Myths and legends in high-performance computing. Int. J. High Perform. Comput. Appl. 37(3-4): 245-259 (2023) - Jacques Middlecoff, Yonggang G. Yu, Mark W. Govett:
Performance comparison of the A-grid and C-grid shallow-water models on icosahedral grids. Int. J. High Perform. Comput. Appl. 37(2): 197-208 (2023) - Sabra Ossen, Jeremy Musser, Luke Dalessandro, Martin Swany:
INDIANA - In-Network Distributed Infrastructure for Advanced Network Applications. Int. J. High Perform. Comput. Appl. 37(3-4): 442-461 (2023) - Vladimir Ostapenco, Laurent Lefèvre, Anne-Cécile Orgerie, Benjamin Fichel:
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management. Int. J. High Perform. Comput. Appl. 37(3-4): 328-350 (2023) - Mark Parsons:
Special issue: Introduction. Int. J. High Perform. Comput. Appl. 37(1): 3 (2023) - Will Pazner, Tzanio V. Kolev, Jean-Sylvain Camier:
End-to-end GPU acceleration of low-order-refined preconditioning for high-order finite element discretizations. Int. J. High Perform. Comput. Appl. 37(5): 578-599 (2023) - Olga Pearce, Stephanie Brink:
Finding the forest in the trees: Enabling performance optimization on heterogeneous architectures through data science analysis of ensemble performance data. Int. J. High Perform. Comput. Appl. 37(3-4): 434-441 (2023) - Long Qu, Rached Abdelkhalak, Hatem Ltaief, Issam Said, David E. Keyes:
Exploiting temporal data reuse and asynchrony in the reverse time migration. Int. J. High Perform. Comput. Appl. 37(2): 132-150 (2023) - Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas D. Kühne, Christian Plessl:
Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. Int. J. High Perform. Comput. Appl. 37(5): 530-538 (2023) - Jakub Sístek, Tomás Oberhuber:
Acceleration of a parallel BDDC solver by using graphics processing units on subdomains. Int. J. High Perform. Comput. Appl. 37(2): 151-164 (2023) - Andrés E. Tomás, Enrique S. Quintana-Ortí, Hartwig Anzt:
Fast truncated SVD of sparse and dense matrices on graphics processors. Int. J. High Perform. Comput. Appl. 37(3-4): 380-393 (2023)