Jack J. Dongarra

ORCID

Publication Activity (10 Years)

Years Active: 1979-2024
Publications (10 Years): 208

Top Venues

IPDPS Workshops

Int. J. High Perform. Comput. Appl.

IPDPS

Concurr. Comput. Pract. Exp.

Publications

Lijing Luo, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Clélia de Mulatier, Jack J. Dongarra, Peter M. A. Sloot
Trends in Computational Science: Natural Language Processing and Network Analysis of 23 Years of ICCS Publications. ICCS (2) (2024)
Sergey V. Kovalchuk, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Jirí Mikyska, Maciej Paszynski, Jack J. Dongarra, Peter M. A. Sloot
Computation at the Cutting Edge of Science. J. Comput. Sci. 81 (2024)
Daniel Barry, Anthony Danalis, Jack J. Dongarra
Automated Data Analysis for Defining Performance Metrics from Raw Hardware Events. IPDPS (Workshops) (2024)
Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. CoRR (2024)
Neil Lindquist, Piotr Luszczek, Jack J. Dongarra
Generalizing Random Butterfly Transforms to Arbitrary Matrix Sizes. CoRR (2023)
Ahmad Abdelfattah, Stanimire Tomov, Piotr Luszczek, Hartwig Anzt, Jack J. Dongarra
GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. SC Workshops (2023)
Daniel Barry, Heike Jagode, Anthony Danalis, Jack J. Dongarra
Memory Traffic and Complete Application Profiling with PAPI Multi-Component Measurements. IPDPS Workshops (2023)
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 (2023)
Dalal Sukkari, Mark Gates, Mohammed A. Al Farhan, Hartwig Anzt, Jack J. Dongarra
Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators. SC Workshops (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) (2023)
Sergey V. Kovalchuk, Clélia de Mulatier, Derek Groen, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
The computational planet. J. Comput. Sci. 72 (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) (2023)
Neil Lindquist, Piotr Luszczek, Jack J. Dongarra
Using Additive Modifications in LU Factorization Instead of Pivoting. ICS (2023)
Wissam M. Sid-Lakhdar, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Piotr Luszczek, Mark Gates, Stanimire Tomov, Hans Johansen, David B. Williams-Young, Timothy A. Davis, Jack J. Dongarra, Hartwig Anzt
PAQR: Pivoting Avoiding QR factorization. IPDPS (2023)
Daniel A. Reed, Dennis Gannon, Jack J. Dongarra
HPC Forecast: Cloudy and Uncertain. Commun. ACM 66 (2) (2023)
Wissam M. Sid-Lakhdar, Mohsen Aznaveh, Piotr Luszczek, Jack J. Dongarra
Deep Gaussian process with multitask and transfer learning for performance optimization. HPEC (2022)
Neil Lindquist, Mark Gates, Piotr Luszczek, Jack J. Dongarra
Threshold Pivoting for Dense LU Factorization. ScalAH@SC (2022)
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) (2022)
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) (2022)
Daniel A. Reed, Dennis Gannon, Jack J. Dongarra
Reinventing High Performance Computing: Challenges and Opportunities. CoRR (2022)
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)
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) (2022)
Yaohung M. Tsai, Piotr Luszczek, Jack J. Dongarra
. ScalAH@SC (2022)
Yu Pei, George Bosilca, Jack J. Dongarra
Sequential Task Flow Runtime Model Improvements and Limitations. ROSS (2022)
Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra
Performance Analysis of Parallel FFT on Large Multi-GPU Systems. IPDPS Workshops (2022)
Jack J. Dongarra
The evolution of mathematical software. Commun. ACM 65 (12) (2022)
Jack J. Dongarra, Kenli Li, Hai Jin
Message from the High Performance Computing and Communications 2022 General Chairs. HPCC/DSS/SmartCity/DependSys (2022)
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)
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)
Neil Lindquist, Piotr Luszczek, Jack J. Dongarra
Accelerating Restarted GMRES With Mixed Precision Arithmetic. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
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 (2022)
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)
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)
Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra
Batch QR Factorization on GPUs: Design, Optimization, and Tuning. ICCS (1) (2022)
Dong Zhong, Qinglei Cao, George Bosilca, Jack J. Dongarra
Using long vector extensions for MPI reductions. Parallel Comput. 109 (2022)
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 (2022)
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)
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)
Tzanio V. Kolev, Paul 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 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 (2021)
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)
Daniel Sharp, Miroslav Stoyanov, Stanimire Tomov, Jack J. Dongarra
A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms. HPEC (2021)
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) (2021)
Jack J. Dongarra, Mark Gates, Piotr Luszczek, Stanimire Tomov
Translational process: Mathematical software perspective. J. Comput. Sci. 52 (2021)
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) (2021)
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)
Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra
Accelerating Multi - Process Communication for Parallel 3-D FFT. ExaMPI@SC (2021)
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 (2021)
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 (2021)
Alan Ayala, Stanimire Tomov, Miroslav Stoyanov, Jack J. Dongarra
Scalability Issues in FFT Computation. PaCT (2021)
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)
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)
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)
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)
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)
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 (2020)
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 (2020)
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)
Florent Lopez, Edmond Chow, Stanimire Tomov, Jack J. Dongarra
Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. IPDPS Workshops (2020)
Qinglei Cao, George Bosilca, Wei Wu, Dong Zhong, Aurelien Bouteiller, Jack J. Dongarra
Flexible Data Redistribution in a Task-Based Runtime System. CLUSTER (2020)
Neil Lindquist, Piotr Luszczek, Jack J. Dongarra
Improving the Performance of the GMRES Method using Mixed-Precision Techniques. CoRR (2020)
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)
Cade Brown, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs. HPEC (2020)
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)
Dong Zhong, Qinglei Cao, George Bosilca, Jack J. Dongarra
Using Advanced Vector Extensions AVX-512 for MPI Reductions. EuroMPI (2020)
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 (2020)
Alan Ayala, Stanimire Tomov, Azzam Haidar, Jack J. Dongarra
heFFTe: Highly Efficient FFT for Exascale. ICCS (1) (2020)
Neil Lindquist, Piotr Luszczek, Jack J. Dongarra
Improving the Performance of the GMRES Method Using Mixed-Precision Techniques. SMC (2020)
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)
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) (2020)
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)
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)
Piotr Luszczek, Yaohung M. Tsai, Neil Lindquist, Hartwig Anzt, Jack J. Dongarra
Scalable Data Generation for Evaluating Mixed-Precision Solvers. HPEC (2020)
Neil Lindquist, Piotr Luszczek, Jack J. Dongarra
Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques. ScalA@SC (2020)
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 (2020)
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)
Anthony Danalis, Heike Jagode, Thomas Hérault, Piotr Luszczek, Jack J. Dongarra
Software-Defined Events through PAPI. IPDPS Workshops (2019)
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)
Hartwig Anzt, Tobias Ribizel, Goran Flegar, Edmond Chow, Jack J. Dongarra
ParILUT - A Parallel Threshold ILU for GPUs. IPDPS (2019)
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)
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) (2019)
Thomas Hérault, Yves Robert, George Bosilca, Jack J. Dongarra
Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC. ScalA@SC (2019)
Ichitaro Yamazaki, Zhaojun Bai, Ding Lu, Jack J. Dongarra
Matrix Powers Kernels for Thick-Restart Lanczos with Explicit External Deflation. IPDPS (2019)
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)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs. IPDPS (2019)
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)
Jakub Kurzak, Yaohung M. Tsai, Mark Gates, Ahmad Abdelfattah, Jack J. Dongarra
Massively Parallel Automated Software Tuning. ICPP (2019)
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 (2019)
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)
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 (2019)
Hartwig Anzt, Jack J. Dongarra, Enrique S. Quintana-Ortí
Fine-grained bit-flip protection for relaxation methods. J. Comput. Sci. 36 (2019)
Ichitaro Yamazaki, Akihiro Ida, Rio Yokota, Jack J. Dongarra
Distributed-memory lattice H-matrix factorization. Int. J. High Perform. Comput. Appl. 33 (5) (2019)
Ichitaro Yamazaki, Edmond Chow, Aurélien Bouteiller, Jack J. Dongarra
Performance of asynchronous optimized Schwarz with one-sided communication. Parallel Comput. 86 (2019)
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 (2019)
Jack J. Dongarra, Steven Gottlieb, William T. C. Kramer
Race to Exascale. Comput. Sci. Eng. 21 (1) (2019)
Piotr Luszczek, Ichitaro Yamazaki, Jack J. Dongarra
Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators. HPEC (2019)
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)
Dmitry Zaitsev, Stanimire Tomov, Jack J. Dongarra
Solving Linear Diophantine Systems on Parallel Architectures. IEEE Trans. Parallel Distributed Syst. 30 (5) (2019)
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 (2019)
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) (2019)
Jakub Kurzak, Mark Gates, Ali Charara, Asim YarKhan, Jack J. Dongarra
Least squares solvers for distributed-memory machines with GPU accelerators. ICS (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jack J. Dongarra