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ORCIDJack J. Dongarra
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- affiliation: University of Tennessee, Knoxville, TN, USA
- affiliation: Oak Ridge National Laboratory, TN, USA
- affiliation: University of Manchester, Manchester, UK
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2020 – today
- 2020
[j318]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)- [j317]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) - [j316]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) - [j315]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) - [j314]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) - [c422]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 - [c421]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 - [c420]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 - [c419]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 - [c418]Piotr Luszczek, Yaohung M. Tsai, Neil Lindquist, Hartwig Anzt, Jack J. Dongarra:
Scalable Data Generation for Evaluating Mixed-Precision Solvers. HPEC 2020: 1-6 - [c417]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 - [c416]Alan Ayala, Stanimire Tomov, Azzam Haidar, Jack J. Dongarra:
heFFTe: Highly Efficient FFT for Exascale. ICCS (1) 2020: 262-275 - [c415]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 - [c414]Florent Lopez, Edmond Chow, Stanimire Tomov, Jack J. Dongarra:
Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. IPDPS Workshops 2020: 995-998 - [c413]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 - [c412]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 - [c411]Dong Zhong, Qinglei Cao, George Bosilca, Jack J. Dongarra:
Using Advanced Vector Extensions AVX-512 for MPI Reductions. EuroMPI 2020: 1-10 - [c410]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques. ScalA@SC 2020: 35-43 - [c409]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 - [c408]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 - [c407]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] - [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
- [j313]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) - [j312]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) - [j311]Jack J. Dongarra, Steven Gottlieb, William T. C. Kramer:
Race to Exascale. Comput. Sci. Eng. 21(1): 4-5 (2019) - [j310]Ichitaro Yamazaki, Akihiro Ida, Rio Yokota, Jack J. Dongarra:
Distributed-memory lattice H-matrix factorization. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j309]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) - [j308]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) - [j307]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) - [j306]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) - [j305]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) - [j304]Hartwig Anzt, Jack J. Dongarra, Enrique S. Quintana-Ortí:
Fine-grained bit-flip protection for relaxation methods. J. Comput. Sci. 36 (2019) - [j303]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) - [j302]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) - [j301]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) - [j300]Ichitaro Yamazaki, Edmond Chow, Aurélien Bouteiller, Jack J. Dongarra:
Performance of asynchronous optimized Schwarz with one-sided communication. Parallel Comput. 86: 66-81 (2019) - [j299]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) - [j298]Dmitry Zaitsev, Stanimire Tomov, Jack J. Dongarra:
Solving Linear Diophantine Systems on Parallel Architectures. IEEE Trans. Parallel Distributed Syst. 30(5): 1158-1169 (2019) - [c406]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 - [c405]Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra:
Progressive Optimization of Batched LU Factorization on GPUs. HPEC 2019: 1-6 - [c404]Piotr Luszczek, Ichitaro Yamazaki, Jack J. Dongarra:
Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators. HPEC 2019: 1-6 - [c403]Jakub Kurzak, Yaohung M. Tsai, Mark Gates, Ahmad Abdelfattah, Jack J. Dongarra:
Massively Parallel Automated Software Tuning. ICPP 2019: 92:1-92:10 - [c402]Jakub Kurzak, Mark Gates, Ali Charara, Asim YarKhan, Jack J. Dongarra:
Least squares solvers for distributed-memory machines with GPU accelerators. ICS 2019: 117-126 - [c401]Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra:
Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs. IPDPS 2019: 111-122 - [c400]Hartwig Anzt, Tobias Ribizel, Goran Flegar, Edmond Chow, Jack J. Dongarra:
ParILUT - A Parallel Threshold ILU for GPUs. IPDPS 2019: 231-241 - [c399]Anthony Danalis, Heike Jagode, Thomas Hérault, Piotr Luszczek, Jack J. Dongarra:
Software-Defined Events through PAPI. IPDPS Workshops 2019: 363-372 - [c398]Ichitaro Yamazaki, Zhaojun Bai, Ding Lu, Jack J. Dongarra:
Matrix Powers Kernels for Thick-Restart Lanczos with Explicit External Deflation. IPDPS 2019: 472-481 - [c397]Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Heike Jagode, Anthony Danalis, Jack J. Dongarra, Pavan Balaji, Michela Taufer:
Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI. PARCO 2019: 287-298 - [c396]Hartwig Anzt, Yen-Chen Chen, Terry Cojean, Jack J. Dongarra, Goran Flegar, Pratik Nayak, Enrique S. Quintana-Ortí, Yuhsiang M. Tsai, Weichung Wang:
Towards Continuous Benchmarking: An Automated Performance Evaluation Framework for High Performance Software. PASC 2019: 9:1-9:11 - [c395]Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra:
Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs. ScalA@SC 2019: 17-24 - [c394]Yu Pei, George Bosilca, Ichitaro Yamazaki, Akihiro Ida, Jack J. Dongarra:
Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization. PAW-ATM@SC 2019: 25-36 - [c393]Mark Gates, Jakub Kurzak, Ali Charara, Asim YarKhan, Jack J. Dongarra:
SLATE: design of a modern distributed and accelerated linear algebra library. SC 2019: 26:1-26:18 - [c392]Thomas Hérault, Yves Robert, George Bosilca, Jack J. Dongarra:
Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC. ScalA@SC 2019: 33-41 - [c391]Daniel Nichols, Nathalie-Sofia Tomov, Frank Betancourt, Stanimire Tomov, Kwai Wong, Jack J. Dongarra:
MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing. ISC Workshops 2019: 490-503 - [c390]Kwai Wong, Stanimire Tomov, Jack J. Dongarra:
Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments. ISC Workshops 2019: 643-655 - [e106]João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio M. Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11536, Springer 2019, ISBN 978-3-030-22733-3 [contents] - [e105]João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio M. Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11537, Springer 2019, ISBN 978-3-030-22740-1 [contents] - [e104]João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio M. Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11538, Springer 2019, ISBN 978-3-030-22743-2 [contents] - [e103]João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio M. Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part IV. Lecture Notes in Computer Science 11539, Springer 2019, ISBN 978-3-030-22746-3 [contents] - [e102]João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio M. Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2019 - 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part V. Lecture Notes in Computer Science 11540, Springer 2019, ISBN 978-3-030-22749-4 [contents] - 2018
- [j297]Jack J. Dongarra, Vladimir Getov, Kevin Walsh:
The 30th Anniversary of the Supercomputing Conference: Bringing the Future Closer - Supercomputing History and the Immortality of Now. Computer 51(10): 74-85 (2018) - [j296]Heike Jagode, Anthony Danalis, Reazul Hoque, Mathieu Faverge, Jack J. Dongarra:
Evaluation of dataflow programming models for electronic structure theory. Concurr. Comput. Pract. Exp. 30(17) (2018) - [j295]Joseph Dorris, Asim YarKhan, Jakub Kurzak, Piotr Luszczek, Jack J. Dongarra:
Task based Cholesky decomposition on Xeon Phi architectures using OpenMP. Int. J. Comput. Sci. Eng. 17(3): 310-323 (2018) - [j294]Jack J. Dongarra, Bernard Tourancheau:
Guest editors' note. Int. J. High Perform. Comput. Appl. 32(1): 3 (2018) - [j293]George Bosilca, Aurélien Bouteiller, Amina Guermouche, Thomas Hérault, Yves Robert, Pierre Sens, Jack J. Dongarra:
A failure detector for HPC platforms. Int. J. High Perform. Comput. Appl. 32(1): 139-158 (2018) - [j292]Hartwig Anzt, Moritz Kreutzer, Eduardo Ponce, Gregory D. Peterson, Gerhard Wellein, Jack J. Dongarra:
Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs. Int. J. High Perform. Comput. Appl. 32(2): 220-230 (2018) - [j291]M. Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov:
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32(4): 435-479 (2018) - [j290]Heike Jagode, Anthony Danalis, Jack J. Dongarra:
Accelerating NWChem Coupled Cluster through dataflow-based execution. Int. J. High Perform. Comput. Appl. 32(4): 540-551 (2018) - [j289]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Petros Koumoutsakos, Eleni N. Chatzi, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
The art of computational science: Bridging gaps - forming alloys. J. Comput. Sci. 26: 190-192 (2018) - [j288]Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures. J. Comput. Sci. 26: 226-236 (2018) - [j287]Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Accelerating the SVD bi-diagonalization of a batch of small matrices using GPUs. J. Comput. Sci. 26: 237-245 (2018) - [j286]Edmond Chow, Hartwig Anzt, Jennifer A. Scott, Jack J. Dongarra:
Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. J. Parallel Distributed Comput. 119: 219-230 (2018) - [j285]Zuo-Ning Chen, Jack J. Dongarra, Zhi-Wei Xu:
Post-exascale supercomputing: research opportunities abound. Frontiers Inf. Technol. Electron. Eng. 19(10): 1203-1208 (2018) - [j284]Hartwig Anzt, Thomas K. Huckle, Jürgen Bräckle, Jack J. Dongarra:
Incomplete Sparse Approximate Inverses for Parallel Preconditioning. Parallel Comput. 71: 1-22 (2018) - [j283]Mark Gates, Stanimire Tomov, Jack J. Dongarra:
Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs. Parallel Comput. 74: 3-18 (2018) - [j282]Franz Franchetti, José M. F. Moura, David A. Padua, Jack J. Dongarra:
From High-Level Specification to High-Performance Code. Proc. IEEE 106(11): 1875-1878 (2018) - [j281]Jack J. Dongarra, Mark Gates, Jakub Kurzak, Piotr Luszczek, Yaohung M. Tsai:
Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators. Proc. IEEE 106(11): 2040-2055 (2018) - [j280]Prasanna Balaprakash, Jack J. Dongarra, Todd Gamblin, Mary W. Hall, Jeffrey K. Hollingsworth, Boyana Norris, Richard W. Vuduc:
Autotuning in High-Performance Computing Applications. Proc. IEEE 106(11): 2068-2083 (2018) - [j279]Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki:
The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale. SIAM Rev. 60(4): 808-865 (2018) - [j278]Hartwig Anzt, Edmond Chow, Jack J. Dongarra:
ParILUT - A New Parallel Threshold ILU Factorization. SIAM J. Sci. Comput. 40(4): C503-C519 (2018) - [j277]Alexander S. Antonov, Jack J. Dongarra, Vladimir V. Voevodin:
AlgoWiki Project as an Extension of the Top500 Methodology. Supercomput. Front. Innov. 5(1): 4-10 (2018) - [j276]Piotr Luszczek, Jakub Kurzak, Ichitaro Yamazaki, David J. Keffer, Vasileios Maroulas, Jack J. Dongarra:
Autotuning Techniques for Performance-Portable Point Set Registration in 3D. Supercomput. Front. Innov. 5(4): 42-61 (2018) - [j275]Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Stanimire Tomov, Jack J. Dongarra:
A Guide for Achieving High Performance with Very Small Matrices on GPU: A Case Study of Batched LU and Cholesky Factorizations. IEEE Trans. Parallel Distributed Syst. 29(5): 973-984 (2018) - [j274]Ichitaro Yamazaki, Jakub Kurzak, Panruo Wu, Mawussi Zounon, Jack J. Dongarra:
Symmetric Indefinite Linear Solver Using OpenMP Task on Multicore Architectures. IEEE Trans. Parallel Distributed Syst. 29(8): 1879-1892 (2018) - [j273]Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Analysis and Design Techniques towards High-Performance and Energy-Efficient Dense Linear Solvers on GPUs. IEEE Trans. Parallel Distributed Syst. 29(12): 2700-2712 (2018) - [c389]Valentin Le Fèvre, George Bosilca, Aurélien Bouteiller, Thomas Hérault, Atsushi Hori, Yves Robert, Jack J. Dongarra:
Do Moldable Applications Perform Better on Failure-Prone HPC Platforms? Euro-Par Workshops 2018: 787-799 - [c388]Xi Luo, Wei Wu, George Bosilca, Thananon Patinyasakdikul, Linnan Wang, Jack J. Dongarra:
ADAPT: an event-based adaptive collective communication framework. HPDC 2018: 118-130 - [c387]Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization. HPEC 2018: 1-7 - [c386]Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Panruo Wu, Srikara Pranesh, Stanimire Tomov, Jack J. Dongarra:
The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques. ICCS (1) 2018: 586-600 - [c385]Thomas Hérault, Yves Robert, Aurélien Bouteiller, Dorian C. Arnold, Kurt B. Ferreira, George Bosilca, Jack J. Dongarra:
Optimal Cooperative Checkpointing for Shared High-Performance Computing Platforms. IPDPS Workshops 2018: 803-812 - [c384]Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack J. Dongarra:
Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. IPDPS 2018: 930-939 - [c383]Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Thomas Grützmacher:
Variable-Size Batched Condition Number Calculation on GPUs. SBAC-PAD 2018: 132-139 - [c382]Hartwig Anzt, Jack J. Dongarra:
A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs. SBAC-PAD 2018: 229-232 - [c381]Azzam Haidar, Stanimire Tomov, Jack J. Dongarra, Nicholas J. Higham:
Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers. SC 2018: 47:1-47:11 - [e101]Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10860, Springer 2018, ISBN 978-3-319-93697-0 [contents] - [e100]Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10861, Springer 2018, ISBN 978-3-319-93700-7 [contents] - [e99]Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018 Proceedings, Part III. Lecture Notes in Computer Science 10862, Springer 2018, ISBN 978-3-319-93712-0 [contents] - [e98]Roman Wyrzykowski, Jack J. Dongarra, Ewa Deelman, Konrad Karczewski:
Parallel Processing and Applied Mathematics - 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part I. Lecture Notes in Computer Science 10777, Springer 2018, ISBN 978-3-319-78023-8 [contents] - [e97]Roman Wyrzykowski, Jack J. Dongarra, Ewa Deelman, Konrad Karczewski:
Parallel Processing and Applied Mathematics - 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II. Lecture Notes in Computer Science 10778, Springer 2018, ISBN 978-3-319-78053-5 [contents] - [i17]Linnan Wang, Wei Wu, Yiyang Zhao, Junyu Zhang, Hang Liu, George Bosilca, Jack J. Dongarra, Maurice Herlihy, Rodrigo Fonseca:
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks. CoRR abs/1811.08596 (2018) - 2017
- [j272]Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra:
Non-GPU-resident symmetric indefinite factorization. Concurr. Comput. Pract. Exp. 29(5) (2017) - [j271]