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ORCIDJack J. Dongarra
Person information
- affiliation: University of Tennessee, Knoxville, TN, USA
- affiliation: Oak Ridge National Laboratory, TN, USA
- affiliation: University of Manchester, Manchester, UK
- award (2021): Turing Award
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2020 – today
- 2023
[j337]Daniel A. Reed, Dennis Gannon, Jack J. Dongarra:
HPC Forecast: Cloudy and Uncertain. Commun. ACM 66(2): 82-90 (2023)- [e127]Roman Wyrzykowski, Jack J. Dongarra, Ewa Deelman, Konrad Karczewski:
Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13826, Springer 2023, ISBN 978-3-031-30441-5 [contents] - [e126]Roman Wyrzykowski, Jack J. Dongarra, Ewa Deelman, Konrad Karczewski:
Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13827, Springer 2023, ISBN 978-3-031-30444-6 [contents] - [i24]Riley Murray, James Demmel, Michael W. Mahoney, N. Benjamin Erichson, Maksim Melnichenko, Osman Asif Malik, Laura Grigori, Piotr Luszczek, Michal Derezinski, Miles E. Lopes, Tianyu Liang, Hengrui Luo, Jack J. Dongarra:
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. CoRR abs/2302.11474 (2023) - 2022
- [j336]Jack J. Dongarra:
The evolution of mathematical software. Commun. ACM 65(12): 66-72 (2022) - [j335]George Bosilca, Aurélien Bouteiller, Thomas Hérault, Valentin Le Fèvre, Yves Robert, Jack J. Dongarra:
Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms. Int. J. Netw. Comput. 12(1): 26-46 (2022) - [j334]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Dieter Kranzlmüller, Jack J. Dongarra, Peter M. A. Sloot:
Computational science for a better future. J. Comput. Sci. 62: 101745 (2022) - [j333]Dong Zhong
, Qinglei Cao, George Bosilca, Jack J. Dongarra:
Using long vector extensions for MPI reductions. Parallel Comput. 109: 102871 (2022) - [j332]Sameh Abdulah, Qinglei Cao, Yu Pei, George Bosilca, Jack J. Dongarra, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun:
Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC. IEEE Trans. Parallel Distributed Syst. 33(4): 964-976 (2022) - [j331]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Accelerating Restarted GMRES With Mixed Precision Arithmetic. IEEE Trans. Parallel Distributed Syst. 33(4): 1027-1037 (2022) - [j330]Qinglei Cao, George Bosilca, Nuria Losada, Wei Wu, Dong Zhong, Jack J. Dongarra:
Evaluating Data Redistribution in PaRSEC. IEEE Trans. Parallel Distributed Syst. 33(8): 1856-1872 (2022) - [c444]Sébastien Cayrols, Jiali Li, George Bosilca, Stanimire Tomov, Alan Ayala, Jack J. Dongarra:
Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs. CLUSTER 2022: 152-160 - [c443]James Demmel, Jack J. Dongarra, Mark Gates, Greg Henry, Julien Langou, Xiaoye S. Li, Piotr Luszczek, Weslley S. Pereira, E. Jason Riedy, Cindy Rubio-González:
Proposed Consistent Exception Handling for the BLAS and LAPACK. Correctness@SC 2022: 1-9 - [c442]Jack J. Dongarra, Kenli Li, Hai Jin:
Message from the High Performance Computing and Communications 2022 General Chairs. HPCC/DSS/SmartCity/DependSys 2022: liv - [c441]Wissam M. Sid-Lakhdar, Mohsen Aznaveh, Piotr Luszczek, Jack J. Dongarra:
Deep Gaussian process with multitask and transfer learning for performance optimization. HPEC 2022: 1-7 - [c440]Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra:
Batch QR Factorization on GPUs: Design, Optimization, and Tuning. ICCS (1) 2022: 60-74 - [c439]Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra:
Performance Analysis of Parallel FFT on Large Multi-GPU Systems. IPDPS Workshops 2022: 372-381 - [c438]Qinglei Cao, Rabab Alomairy, Yu Pei, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra:
A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization. IPDPS 2022: 414-424 - [c437]Mark Gates, Asim YarKhan, Dalal Sukkari, Kadir Akbudak, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Mohammed A. Al Farhan, Jack J. Dongarra:
Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era. P3HPC@SC 2022: 36-46 - [c436]Ichitaro Yamazaki, Christian A. Glusa, Jennifer A. Loe, Piotr Luszczek, Sivasankaran Rajamanickam, Jack J. Dongarra:
High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges. PMBS@SC 2022: 112-122 - [c435]Yu Pei, George Bosilca, Jack J. Dongarra:
Sequential Task Flow Runtime Model Improvements and Limitations. ROSS 2022: 1-8 - [c434]Qinglei Cao, Sameh Abdulah, Rabab Alomairy, Yu Pei, Pratik Nag, George Bosilca, Jack J. Dongarra, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun:
Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications. SC 2022: 2:1-2:12 - [c433]Ahmad Abdelfattah, Pieter Ghysels, Wajih Boukaram, Stanimire Tomov, Xiaoye Sherry Li, Jack J. Dongarra:
Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers. SC 2022: 26:1-26:14 - [c432]Neil Lindquist, Mark Gates, Piotr Luszczek, Jack J. Dongarra:
Threshold Pivoting for Dense LU Factorization. ScalAH@SC 2022: 34-42 - [c431]Yaohung M. Tsai, Piotr Luszczek, Jack J. Dongarra:
Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices1. ScalAH@SC 2022: 43-50 - [e125]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13350, Springer 2022, ISBN 978-3-031-08750-9 [contents] - [e124]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13351, Springer 2022, ISBN 978-3-031-08753-0 [contents] - [e123]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13352, Springer 2022, ISBN 978-3-031-08756-1 [contents] - [e122]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13353, Springer 2022, ISBN 978-3-031-08759-2 [contents] - [d3]Mark Gates, Asim YarKhan, Dalal Sukkari, Kadir Akbudak, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Mohammed A. Al Farhan, Jack J. Dongarra:
Reproducability Artifact for Running SLATE's GEMM and POTRF Operations on Summit and Crusher. Zenodo, 2022
- [d2]Neil Lindquist, Mark Gates, Piotr Luszczek, Jack J. Dongarra:
Software for "Threshold Pivoting for dense LU Factorization". Zenodo, 2022 - [i23]Daniel A. Reed, Dennis Gannon, Jack J. Dongarra:
Reinventing High Performance Computing: Challenges and Opportunities. CoRR abs/2203.02544 (2022) - [i22]James Demmel, Jack J. Dongarra, Mark Gates, Greg Henry, Julien Langou, Xiaoye S. Li, Piotr Luszczek, Weslley da Silva Pereira, E. Jason Riedy, Cindy Rubio-González:
Proposed Consistent Exception Handling for the BLAS and LAPACK. CoRR abs/2207.09281 (2022) - 2021
- [j329]Zafar Iqbal, Saeid Nooshabadi, Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra:
Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems. IEEE Access 9: 116604-116611 (2021) - [j328]Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean, Jack J. Dongarra, Alyson Fox, Mark Gates, Nicholas J. Higham, Xiaoye S. Li, Jennifer A. Loe, Piotr Luszczek, Srikara Pranesh, Siva Rajamanickam, Tobias Ribizel, Barry F. Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ulrike Meier Yang:
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. Int. J. High Perform. Comput. Appl. 35(4) (2021) - [j327]Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov:
Efficient exascale discretizations: High-order finite element methods. Int. J. High Perform. Comput. Appl. 35(6): 527-552 (2021) - [j326]Jack J. Dongarra, Mark Gates, Piotr Luszczek, Stanimire Tomov:
Translational process: Mathematical software perspective. J. Comput. Sci. 52: 101216 (2021) - [j325]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Gábor Závodszky, Michael Lees, Jack J. Dongarra, Peter M. A. Sloot:
20 years of computational science: Selected papers from 2020 International Conference on Computational Science. J. Comput. Sci. 53: 101395 (2021) - [j324]Ahmad Abdelfattah, Timothy B. Costa, Jack J. Dongarra, Mark Gates, Azzam Haidar, Sven Hammarling, Nicholas J. Higham, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Mawussi Zounon:
A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines. ACM Trans. Math. Softw. 47(3): 21:1-21:23 (2021) - [c430]Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra:
Accelerating Multi - Process Communication for Parallel 3-D FFT. ExaMPI@SC 2021: 46-53 - [c429]Daniel Sharp, Miroslav Stoyanov, Stanimire Tomov, Jack J. Dongarra:
A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms. HPEC 2021: 1-5 - [c428]Qinglei Cao, Yu Pei, Kadir Akbudak, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra:
Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems. IPDPS 2021: 79-89 - [c427]Thomas Hérault, Yves Robert, George Bosilca, Robert J. Harrison, Cannada A. Lewis, Edward F. Valeev, Jack J. Dongarra:
Distributed-memory multi-GPU block-sparse tensor contraction for electronic structure. IPDPS 2021: 537-546 - [c426]George Bosilca, Aurélien Bouteiller, Thomas Hérault, Valentin Le Fèvre, Yves Robert, Jack J. Dongarra:
Revisiting Credit Distribution Algorithms for Distributed Termination Detection. IPDPS Workshops 2021: 611-620 - [c425]Alan Ayala, Stanimire Tomov, Miroslav Stoyanov, Jack J. Dongarra:
Scalability Issues in FFT Computation. PaCT 2021: 279-287 - [e121]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12742, Springer 2021, ISBN 978-3-030-77960-3 [contents] - [e120]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12743, Springer 2021, ISBN 978-3-030-77963-4 [contents] - [e119]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12744, Springer 2021, ISBN 978-3-030-77966-5 [contents] - [e118]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12745, Springer 2021, ISBN 978-3-030-77969-6 [contents] - [e117]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12746, Springer 2021, ISBN 978-3-030-77976-4 [contents] - [e116]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12747, Springer 2021, ISBN 978-3-030-77979-5 [contents] - [i21]Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov:
Efficient Exascale Discretizations: High-Order Finite Element Methods. CoRR abs/2109.04996 (2021) - 2020
- [j323]Yuechao Lu, Ichitaro Yamazaki, Fumihiko Ino, Yasuyuki Matsushita, Stanimire Tomov, Jack J. Dongarra:
Reducing the amount of out-of-core data access for GPU-accelerated randomized SVD. Concurr. Comput. Pract. Exp. 32(19) (2020) - [j322]Mohammed A. Al Farhan, Ahmad Abdelfattah, Stanimire Tomov, Mark Gates, Dalal Sukkari, Azzam Haidar, Robert Rosenberg, Jack J. Dongarra:
MAGMA templates for scalable linear algebra on emerging architectures. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [j321]Pedro J. S. Cardoso, João M. F. Rodrigues, Jânio M. Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science in the Interconnected World: Selected papers from 2019 International Conference on Computational Science. J. Comput. Sci. 47: 101222 (2020) - [j320]Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra:
Matrix multiplication on batches of small matrices in half and half-complex precisions. J. Parallel Distributed Comput. 145: 188-201 (2020) - [j319]Hartwig Anzt, Terry Cojean, Chen Yen-Chen, Jack J. Dongarra, Goran Flegar, Pratik Nayak, Stanimire Tomov, Yuhsiang M. Tsai, Weichung Wang:
Load-balancing Sparse Matrix Vector Product Kernels on GPUs. ACM Trans. Parallel Comput. 7(1): 2:1-2:26 (2020) - [c424]Dong Zhong, Pavel Shamis, Qinglei Cao, George Bosilca, Shinji Sumimoto, Kenichi Miura, Jack J. Dongarra:
Using Arm Scalable Vector Extension to Optimize OPEN MPI. CCGRID 2020: 222-231 - [c423]Xi Luo, Wei Wu, George Bosilca, Yu Pei, Qinglei Cao, Thananon Patinyasakdikul, Dong Zhong, Jack J. Dongarra:
HAN: a Hierarchical AutotuNed Collective Communication Framework. CLUSTER 2020: 23-34 - [c422]Qinglei Cao, George Bosilca, Wei Wu, Dong Zhong, Aurelien Bouteiller, Jack J. Dongarra:
Flexible Data Redistribution in a Task-Based Runtime System. CLUSTER 2020: 221-225 - [c421]Cade Brown, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra:
Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs. HPEC 2020: 1-7 - [c420]Piotr Luszczek, Yaohung M. Tsai, Neil Lindquist, Hartwig Anzt, Jack J. Dongarra:
Scalable Data Generation for Evaluating Mixed-Precision Solvers. HPEC 2020: 1-6 - [c419]Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra:
Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices Using GPUs. ICCS (2) 2020: 237-250 - [c418]Alan Ayala, Stanimire Tomov, Azzam Haidar, Jack J. Dongarra:
heFFTe: Highly Efficient FFT for Exascale. ICCS (1) 2020: 262-275 - [c417]Yu Pei, Qinglei Cao, George Bosilca, Piotr Luszczek, Victor Eijkhout, Jack J. Dongarra:
Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime. IPDPS Workshops 2020: 721-729 - [c416]Florent Lopez, Edmond Chow, Stanimire Tomov, Jack J. Dongarra:
Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. IPDPS Workshops 2020: 995-998 - [c415]Qinglei Cao, Yu Pei, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra:
Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications. PASC 2020: 2:1-2:11 - [c414]Hartwig Anzt, Yuhsiang M. Tsai, Ahmad Abdelfattah, Terry Cojean, Jack J. Dongarra:
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations. PMBS@SC 2020: 26-38 - [c413]Dong Zhong, Qinglei Cao, George Bosilca, Jack J. Dongarra:
Using Advanced Vector Extensions AVX-512 for MPI Reductions. EuroMPI 2020: 1-10 - [c412]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques. ScalA@SC 2020: 35-43 - [c411]Natalie Beams, Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra, Tzanio V. Kolev, Yohann Dudouit:
High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs. ScalA@SC 2020: 53-60 - [c410]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: 35-50 - [c409]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Improving the Performance of the GMRES Method Using Mixed-Precision Techniques. SMC 2020: 51-66 - [e115]Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12137, Springer 2020, ISBN 978-3-030-50370-3 [contents] - [e114]Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12138, Springer 2020, ISBN 978-3-030-50416-8 [contents] - [e113]Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12139, Springer 2020, ISBN 978-3-030-50419-9 [contents] - [e112]Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12140, Springer 2020, ISBN 978-3-030-50422-9 [contents] - [e111]Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12141, Springer 2020, ISBN 978-3-030-50425-0 [contents] - [e110]Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI. Lecture Notes in Computer Science 12142, Springer 2020, ISBN 978-3-030-50432-8 [contents] - [e109]Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VII. Lecture Notes in Computer Science 12143, Springer 2020, ISBN 978-3-030-50435-9 [contents] - [e108]Roman Wyrzykowski, Ewa Deelman, Jack J. Dongarra, Konrad Karczewski:
Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Bialystok, Poland, September 8-11, 2019, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12043, Springer 2020, ISBN 978-3-030-43228-7 [contents] - [e107]Roman Wyrzykowski, Ewa Deelman, Jack J. Dongarra, Konrad Karczewski:
Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Bialystok, Poland, September 8-11, 2019, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12044, Springer 2020, ISBN 978-3-030-43221-8 [contents] - [d1]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Software for Linear Algebra Targeting Exascale (SLATE) with a Recursive Butterfly Transform based solver. Zenodo, 2020 - [i20]Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean, Jack J. Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J. Higham, Xiaoye Sherry Li, Neil Lindquist, Yang Liu, Jennifer A. Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Ulrike Meier Yang:
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR abs/2007.06674 (2020) - [i19]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Improving the Performance of the GMRES Method using Mixed-Precision Techniques. CoRR abs/2011.01850 (2020) - [i18]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 abs/2011.11188 (2020)
2010 – 2019
- 2019
- [j318]Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Nicholas J. Higham, Enrique S. Quintana-Ortí:
Adaptive precision in block-Jacobi preconditioning for iterative sparse linear system solvers. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j317]Azzam Haidar, Heike Jagode, Phil Vaccaro, Asim YarKhan, Stanimire Tomov, Jack J. Dongarra:
Investigating power capping toward energy-efficient scientific applications. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j316]Jack J. Dongarra, Steven Gottlieb, William T. C. Kramer:
Race to Exascale. Comput. Sci. Eng. 21(1): 4-5 (2019) - [j315]Ichitaro Yamazaki, Akihiro Ida, Rio Yokota, Jack J. Dongarra:
Distributed-memory lattice H-matrix factorization. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j314]Jack J. Dongarra, Bernard Tourancheau:
Guest editors' note: Special issue on clusters, clouds, and data for scientific computing. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j313]Heike Jagode, Anthony Danalis, Hartwig Anzt, Jack J. Dongarra:
PAPI software-defined events for in-depth performance analysis. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j312]M. Graham Lopez, Wayne Joubert, Verónica G. Vergara Larrea, Oscar R. Hernandez, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Evaluation of directive-based performance portable programming models. Int. J. High Perform. Comput. Netw. 14(2): 165-182 (2019) - [j311]Thomas Hérault, Yves Robert, Aurélien Bouteiller, Dorian C. Arnold, Kurt B. Ferreira, George Bosilca, Jack J. Dongarra:
Checkpointing Strategies for Shared High-Performance Computing Platforms. Int. J. Netw. Comput. 9(1): 28-52 (2019) - [j310]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Yong Shi, Haohuan Fua, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Science at the intersection of data, modelling, and computation. J. Comput. Sci. 34: 117-119 (2019) - [j309]Hartwig Anzt, Jack J. Dongarra, Enrique S. Quintana-Ortí:
Fine-grained bit-flip protection for relaxation methods. J. Comput. Sci. 36 (2019) - [j308]Ian Masliah, Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Marc Baboulin, Joël Falcou, Jack J. Dongarra:
Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices. Parallel Comput. 81: 1-21 (2019) - [j307]Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí:
Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors. Parallel Comput. 81: 131-146 (2019) - [j306]Valentin Le Fèvre, Thomas Hérault, Yves Robert, Aurélien Bouteiller, Atsushi Hori, George Bosilca, Jack J. Dongarra:
Comparing the performance of rigid, moldable and grid-shaped applications on failure-prone HPC platforms. Parallel Comput. 85: 1-12 (2019) - [j305]Ichitaro Yamazaki, Edmond Chow, Aurélien Bouteiller, Jack J. Dongarra:
Performance of asynchronous optimized Schwarz with one-sided communication. Parallel Comput. 86: 66-81 (2019) - [j304]Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Panruo Wu, Ichitaro Yamazaki, Asim YarKhan, Maksims Abalenkovs, Negin Bagherpour, Sven Hammarling, Jakub Sístek, David Stevens, Mawussi Zounon, Samuel D. Relton:
PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP. ACM Trans. Math. Softw. 45(2): 16:1-16:35 (2019) - [j303]Dmitry Zaitsev, Stanimire Tomov, Jack J. Dongarra:
Solving Linear Diophantine Systems on Parallel Architectures. IEEE Trans. Parallel Distributed Syst. 30(5): 1158-1169 (2019) - [c408]Jakub Kurzak, Mark Gates, Ali Charara, Asim YarKhan, Ichitaro Yamazaki, Jack J. Dongarra:
Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators. Euro-Par 2019: 495-506 - [c407]