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ORCIDInternational Journal of High Performance Computing Applications, Volume 37
Volume 37, Number 1, January 2023
- Mark Parsons:
Special issue: Introduction. 3 - Parantapa Bhattacharya
, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe:
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. 4-27 - Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia A. 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. 28-44 - 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. 45-57
Volume 37, Number 2, March 2023
- Martin Kronbichler, Dmytro Sashko, Peter Munch:
Enhancing data locality of the conjugate gradient method for high-order matrix-free finite-element implementations. 61-81 - José Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás:
Compressed basis GMRES on high-performance graphics processing units. 82-100 - 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. 101-114 - 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. 115-131 - Long Qu, Rached Abdelkhalak, Hatem Ltaief, Issam Said, David E. Keyes:
Exploiting temporal data reuse and asynchrony in the reverse time migration. 132-150 - Jakub Sístek, Tomás Oberhuber:
Acceleration of a parallel BDDC solver by using graphics processing units on subdomains. 151-164 - Florent Lopez, Théo Mary:
Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint. 165-179 - Lukas Einkemmer, Alexander Moriggl:
Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large-scale GPU-equipped supercomputers. 180-196 - Jacques Middlecoff, Yonggang G. Yu, Mark W. Govett:
Performance comparison of the A-grid and C-grid shallow-water models on icosahedral grids. 197-208
Volume 37, Numbers 3-4, July 2023
- Jack J. Dongarra, Bernard Tourancheau:
Guest editors note: Special issue on clusters, clouds, and data for scientific computing. 211-212 - Emmanuel Jeannot, Guillaume Pallez, Nicolas Vidal:
IO-aware Job-Scheduling: Exploiting the Impacts of Workload Characterizations to select the Mapping Strategy. 213-228 - Piotr Luszczek, Wissam M. Sid-Lakhdar, Jack J. Dongarra:
Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering. 229-244 - Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler:
Myths and legends in high-performance computing. 245-259 - Naweiluo Zhou, Giorgio Scorzelli, Jakob Lüttgau, Rahul R. Kancharla, Joshua J. Kane, Robert Wheeler, Brendan P. Croom, Pania Newell, Valerio Pascucci, Michela Taufer:
Orchestration of materials science workflows for heterogeneous resources at large scale. 260-271 - Jorge Ejarque, Rosa M. Badia:
Automatizing the creation of specialized high-performance computing containers. 272-287 - Sadaf R. Alam, Miguel Gila, Mark Klein, Maxime Martinasso, Thomas C. Schulthess:
Versatile software-defined HPC and cloud clusters on Alps supercomputer for diverse workflows. 288-305 - Sanjukta Bhowmick, Patrick Bell, Michela Taufer:
A Survey of Graph Comparison Methods with Applications to Nondeterminism in High-Performance Computing. 306-327 - Vladimir Ostapenco, Laurent Lefèvre, Anne-Cécile Orgerie, Benjamin Fichel:
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management. 328-350 - Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar:
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. 351-379 - Andrés E. Tomás, Enrique S. Quintana-Ortí, Hartwig Anzt:
Fast truncated SVD of sparse and dense matrices on graphics processors. 380-393 - 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. 394-411 - Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
Black-box statistical prediction of lossy compression ratios for scientific data. 412-433 - Olga Pearce, Stephanie Brink:
Finding the forest in the trees: Enabling performance optimization on heterogeneous architectures through data science analysis of ensemble performance data. 434-441 - Sabra Ossen, Jeremy Musser, Luke Dalessandro, Martin Swany:
INDIANA - In-Network Distributed Infrastructure for Advanced Network Applications. 442-461
Volume 37, Number 5, September 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. 465-486 - 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. 487-502 - Sergio Iserte, Alejandro González-Barberá, Paloma Barreda, Krzysztof Rojek:
A study on the performance of distributed training of data-driven CFD simulations. 503-515 - He Bai, Changjun Hu, Yuhan Zhu, Dandan Chen, Genshen Chu, Shuai Ren:
Accelerating cluster dynamics simulation of fission gas behavior in nuclear fuel on deep computing unit-based heterogeneous architecture supercomputer. 516-529 - 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. 530-538 - 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. 539-559 - Noel Chalmers, Abhishek Mishra, Damon McDougall, Tim Warburton:
HipBone: A performance-portable graphics processing unit-accelerated C++ version of the NekBone benchmark. 560-577 - Will Pazner, Tzanio V. Kolev, Jean-Sylvain Camier:
End-to-end GPU acceleration of low-order-refined preconditioning for high-order finite element discretizations. 578-599 - Jerry Watkins, Max Carlson, Kyle Shan, Irina Tezaur, Mauro Perego, Luca Bertagna, Carolyn Kao, Matthew J. Hoffman, Stephen F. Price:
Performance portable ice-sheet modeling with MALI. 600-625 - Marc González, Enric Morancho:
Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications. 626-646
Volume 37, Number 6, November 2023
- Edmond Chow:
Editorial. 649 - Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian:
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. 650-665 - 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. 666-682 - Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. 683-705
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