Jack Dongarra

Search results

• 2022

  The evolution of mathematical software

  Dongarra, J. J., 1 Dec 2022, In: Communications of the ACM. 65, 12, p. 66-72

  Research output: Contribution to journal › Article › peer-review

  • Mathematical Software 100%
• 2020

  A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines

  Abdelfattah, A., Costa, T., Dongarra, J., Gates, M., Haidar, A., Hammarling, S., Higham, N., Kurzak, J., Luszczek, P., Tomov, S. & Zounon, M., 26 Oct 2020, (Accepted/In press) In: ACM Transactions on Mathematical Software.

  Research output: Contribution to journal › Article › peer-review

  • Linear Algebra 100%
  • Subprogram 100%
  • Many-Core 100%
  • Matrix 100%
  • Graphics Processing Unit 50%

• Matrix multiplication on batches of small matrices in half and half-complex precisions

  Abdelfattah, A., Tomov, S. & Dongarra, J., 1 Nov 2020, In: Journal of Parallel and Distributed Computing. 145, p. 188-201

  Research output: Contribution to journal › Article › peer-review

  • Matrix Multiplication 100%
  • Graphics Processing Unit 100%
  • Multiplication Operation 100%
  • Multiplication Kernel 66%
  • Linear Algebra 66%

• Mixed-Precision Iterative Refinement using Tensor Cores on GPUs to Accelerate Solution of Linear Systems

  Haidar, A., Bayraktar, H., Tomov, S., Dongarra, J. & Higham, N., 24 Sept 2020, (Accepted/In press) In: Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

  Research output: Contribution to journal › Article › peer-review

  • Floating Point 100%
  • Linear Systems 100%
  • Iterative Refinement 100%
  • Tensor 100%
  • Linear System 100%

• Numerical Algorithms for High-Performance Computational Science

  Dongarra, J., Grigori, L. & Higham, N., Mar 2020, In: Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences. 378, 2166

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Computational Science 100%
  • Supercomputer 33%
  • Coprocessor 33%
  • Floating Point 33%
  • Energy Consumption 33%
  813 Downloads (Pure)
• 2019

  Comparing the performance of rigid, moldable and grid-shaped applications on failure-prone HPC platforms

  Le Fèvre, V., Herault, T., Robert, Y., Bouteiller, A., Hori, A., Bosilca, G. & Dongarra, J., Jul 2019, In: Parallel Computing. 85, p. 1-12 12 p.

  Research output: Contribution to journal › Article › peer-review

  • De Facto Standard 100%
  • Performance Model 100%
  • Tolerance Technique 100%
  • Wait Time 100%
  • Application Type 100%

• Performance of asynchronous optimized Schwarz with one-sided communication

  Yamazaki, I., Chow, E., Bouteiller, A. & Dongarra, J., Aug 2019, In: Parallel Computing. 86, p. 66-81 16 p.

  Research output: Contribution to journal › Article › peer-review

  • One-sided Communication 100%
  • Supercomputer 50%
  • Distributed Memory 50%
  • Communication Scheme 50%
  • Asynchronous Version 50%

• Variable-Size Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioning on Graphics Processors

  Anzt, H., Dongarra, J., Flegar, G. & Quintana-Orti, E. S., 1 Jan 2019, In: Parallel Computing. 81, p. 131-146 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Preconditioner 100%
  • Graphics Processor 100%
  • Graphics Processing Unit 66%
  • Linear Systems 66%
  • Fast Convergence 33%
  190 Downloads (Pure)
• 2018

  Accelerating the SVD Bidiagonalization of a Batch of Small Matrices using GPUs

  Dong, T., Haidar, A., Tomov, S. & Dongarra, J., May 2018, In: Journal of Computational Science. 26, p. 237-245 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Optimization Technique 100%
  • Many-Core 50%
  • Parallelization 50%
  • Multicore 50%
  • Core Architecture 50%
  239 Downloads (Pure)

• Adaptive Precision in Block-Jacobi Preconditioning for Iterative Sparse Linear System Solvers

  Anzt, H., Dongarra, J., Flegar, G., Higham, N. & Quintana-Orti, E. S., 2018, In: Concurrency and Computation: Practice and Experience.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Energy Conservation 100%
  • Potential Benefit 100%
  • Memory Bandwidth 100%
  • Subspace Method 100%
  • Double Precision 100%
  136 Downloads (Pure)

• A failure detector for HPC platforms

  Bosilca, G., Bouteiller, A., Guermouche, A., Herault, T., Robert, Y., Sens, P. & Dongarra, J., 1 Jan 2018, In: International Journal of High Performance Computing Applications. 32, 1, p. 139-158 20 p.

  Research output: Contribution to journal › Article › peer-review

  • failure detector 100%

• Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators

  Dongarra, J., Gates, M., Kurzak, J., Luszczek, P. & Tsai, Y. M., 1 Nov 2018, In: IEEE. Proceedings. 106, 11, p. 2040-2055

  Research output: Contribution to journal › Article › peer-review

  • Graphics Processing Unit 100%
  • Autotuning 100%
  • Hardware Accelerator 100%
  • Positive Definite 75%
  • Linear Systems 50%

• Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures

  Abdelfattah, A., Haidar, A., Tomov, S. & Dongarra, J., 2018, In: Journal of Computational Science.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Optimization Technique 100%
  • Many-Core 50%
  • Data Analytics 50%
  • Parallelism 50%
  • Computation Matrix 50%
  368 Downloads (Pure)

• Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry

  Dongarra, J. & al, E., Jul 2018, In: International Journal of High Performance Computing Applications. 32, 4, p. 435-479 44 p.

  Research output: Contribution to journal › Article › peer-review

  • Shared Infrastructure 100%

• Computational Benefit of GPU Optimization for the Atmospheric Chemistry Modeling

  Sun, J., Fu, J. S., Drake, J. B., Zhu, Q., Haidar, A., Gates, M., Tomov, S. & Dongarra, J., 13 Aug 2018, In: Journal of Advances in Modeling Earth Systems. 10, 8, p. 1952-1969 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Graphics Processing Unit 100%
  • Solution and Solubility 100%
  • Memory Layout 30%
  • Data Transfer 20%
  • Speed-up 20%

• Evaluation of dataflow programming models for electronic structure theory

  Jagode, H., Danalis, A., Hoque, R., Faverge, M. & Dongarra, J., 2018, In: Concurrency and Computation: Practice and Experience.

  Research output: Contribution to journal › Article › peer-review

  • Programming Model 100%
  • Programming Paradigm 66%
  • Scientific Application 33%
  • Serial Program 33%
  • Resource Utilisation 33%

• Incomplete Sparse Approximate Inverses for Parallel Preconditioning

  Anzt, H., Huckle, T. K., Brackle, J. & Dongarra, J., Jan 2018, In: Parallel Computing. 71, 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Preconditioner 100%
  • Approximates 100%
  • Factorization 40%
  • Concurrency 33%
  • Triangular Solve 33%

• Investigating power capping toward energy-efficient scientific applications

  Haidar, A., Jagode, H., Vaccaro, P., Yarkhan, A., Tomov, S. & Dongarra, J., 2018, In: Concurrency Computation.

  Research output: Contribution to journal › Article › peer-review

  • Energy Efficient 100%
  • Scientific Application 100%
  • Energy Conservation 100%
  • Energy Efficiency 100%
  • Numerical Library 66%

• ParILUT---A New Parallel Threshold ILU Factorization

  Anzt, H., Chow, E. & Dongarra, J., 2018, In: SIAM Journal on Scientific Computing. 40, 4, p. C503-C519

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Point Iteration 100%
  312 Downloads (Pure)

• PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP

  Dongarra, J., Gates, M., Haidar, A., Kurzak, J., Luszczek, P., Wu, P., Yamazaki, I., YarKhan, A., Abalenkovs, M., Bagherpour, N., Hammarling, S., Sistek, J., Stevens, D., Zounon, M. & Relton, S., 24 Jul 2018, (Accepted/In press) In: ACM Transactions on Mathematical Software.

  Research output: Contribution to journal › Article › peer-review

• Solving Linear Diophantine Systems on Parallel Architectures

  Zaitsev, D., Tomov, S. & Dongarra, J., 2018, In: IEEE Transactions on Parallel and Distributed Systems.

  Research output: Contribution to journal › Article › peer-review

  • Discrete Systems 100%
  • Decomposable System 100%

• Symmetric Indefinite Linear Solver using OpenMP Task on Manycore Architectures

  Yamazaki, I., Kurzak, J., Wu, P., Zounon, M. & Dongarra, J., 2018, In: IEEE Transactions on Parallel and Distributed Systems.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Multiprocessing 100%
  • Processing Task 100%
  • Many-Core 50%
  • Data Dependency 50%
  • Parallelization 25%
  547 Downloads (Pure)

• The singular value decomposition: Anatomy of optimizing an algorithm for extreme scale

  Dongarra, J., Gates, M., Haidar, A., Kurzak, J., Luszczek, P., Tomov, S. & Yamazaki, I., 2018, In: SIAM REVIEW. 60, 4, p. 808-865 58 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Distributed Computing 100%
  • Singular Value 100%
  • Singular Value Decomposition 100%
  • Computing Platform 50%
  • Multicore 50%
  1867 Downloads (Pure)

• Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning

  Chow, E., Anzt, H., Scott, J. & Dongarra, J., Sept 2018, In: Journal of Parallel and Distributed Computing. 119, p. 219-230 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Factorization 100%
  • Jacobi Iteration 100%
  • Matrix 33%
  • Positive Definite 33%
  • Iterative Method 33%
  85 Downloads (Pure)
• 2017

  Accelerating NWChem Coupled Cluster through dataflow-based execution

  Jagode, H., Danalis, A. & Dongarra, J., 2017, In: International Journal of High Performance Computing Applications.

  Research output: Contribution to journal › Article › peer-review

  • High-Performance Computing 100%
  • Load Balancing 100%
  • Data Distribution 100%
  • Numerical Technique 100%
  • task-scheduling 100%

• A Guide For Achieving High Performance With Very Small Matrices On GPU: A case Study of Batched LU and Cholesky Factorizations

  Haidar, A., Abdelfattah, A., Zounon, M., Tomov, S. & Dongarra, J., 2017, In: IEEE Transactions on Parallel and Distributed Systems.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Computation Matrix 100%
  • Speed-up 100%
  • Concurrency 100%
  • Memory Traffic 100%
  • Precision Arithmetic 100%
  894 Downloads (Pure)

• A look back on 30 years of the Gordon Bell Prize

  Bell, G., Bailey, D. H., Dongarra, J., Karp, A. H. & Walsh, K., 2017, In: International Journal of High Performance Computing Applications. 6, 31, p. 469-484 15 p.

  Research output: Contribution to journal › Article › peer-review

  • High-Performance Computing 100%
  • Scalability 100%
  • Data Analytics 50%
  • High Performance Computing 50%
  • Large Scale Data 50%

• Design and Implementation of the PULSAR Programming System for Large Scale Computing

  Kurzak, J., Luszczek, P., Yamazaki, I., Robert, Y. & Dongarra, J., Apr 2017, In: Supercomputing Frontiers and Innovations. 4, 1

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Programming Model 100%
  • Memory Hierarchy 33%
  • Message Passing 33%
  • Multithreading 33%
  • Runtime Implementation 33%
  150 Downloads (Pure)

• Fast Cholesky factorization on GPUs for batch and native modes in MAGMA

  Abdelfattah, A., Haidar, A., Tomov, S. & Dongarra, J., May 2017, In: Journal of Computational Science. 20, p. 85-93 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Cholesky Factorization 100%
  • Multicore 50%
  • Scientific Application 50%

• Non-GPU-resident symmetric indefinite factorization

  Yamazaki, I., Tomov, S. & Dongarra, J., 10 Feb 2017, In: Concurrency Computation. 29, 5, e4012.

  Research output: Contribution to journal › Article › peer-review

  • Memory Hierarchy 100%
  • Core Factorization 100%
  • Performance Bottleneck 50%
  • Floating-Point Operation 50%
  • Data Locality 50%

• On the performance and energy efficiency of sparse linear algebra on GPUs

  Anzt, H., Tomov, S. & Dongarra, J., 1 Sept 2017, In: International Journal of High Performance Computing Applications. 31, 5, p. 375-390 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Energy Efficiency 100%
  • Linear Algebra 100%
  • Sparse Matrix 100%
  • Sparse Computation 75%
  • Matrix Vector Product 75%

• Preconditioned Krylov solvers on GPUs

  Anzt, H., Gates, M., Dongarra, J., Kreutzer, M., Wellein, G. & Köhler, M., Oct 2017, In: Parallel Computing. 68

  Research output: Contribution to journal › Article › peer-review

  • Matrix 100%
  • Factorization 100%
  • Numerical Stability 100%

• Solving dense symmetric indefinite systems using GPUs

  Baboulin, M., Dongarra, J., Remy, A., Tomov, S. & Yamazaki, I., 6 Apr 2017, In: Concurrency and Computation: Practice & Experience.

  Research output: Contribution to journal › Article › peer-review

  • Matrix 100%
  • Graphics Processing Unit 100%
  • Linear Systems 100%
  • Iterative Refinement 66%
  • Factorization 66%

• Structure-aware Linear Solver for Realtime Convex Optimization for Embedded Systems

  Yamazaki, I., Nooshabadi, S., Tomov, S. & Dongarra, J., 2017, In: IEEE Embedded Systems Letters.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Embedded Systems 100%
  • Convex Optimization 100%
  • Deep Learning 33%
  • Experimental Result 33%
  208 Downloads (Pure)
• 2016

  A new metric for ranking high-performance computing systems

  Dongarra, J., Heroux, M. A. & Luszczek, P., 26 Mar 2016, In: National Science Review. 3, 1, p. 30-35 6 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  159 Downloads (Pure)

• Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs

  Kurzak, J., Anzt, H., Gates, M. & Dongarra, J., 1 Jul 2016, In: IEEE Transactions on Parallel and Distributed Systems. 27, 7, p. 2036-2048 13 p., 7275187.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Cholesky Factorization 100%
  • Forward Substitution 50%
  • Backward Substitution 50%
  • Multicore 25%
  • Superior Performance 25%
  370 Downloads (Pure)

• Linear algebra software for large-scale accelerated multicore computing

  Abdelfattah, A., Anzt, H., Dongarra, J., Gates, M., Haidar, A., Kurzak, J., Luszczek, P., Tomov, S., Yamazaki, I. & YarKhan, A., 23 May 2016, In: Acta Numerica.

  Research output: Contribution to journal › Article › peer-review

• Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs

  Anzt, H., Kreutzer, M., Ponce, E., Peterson, G., Wellein, G. & Dongarra, J., 2016, In: International Journal of High Performance Computing Applications. p. 1-11

  Research output: Contribution to journal › Article › peer-review

  • Performance Evaluation 100%
  • Performance Model 50%
  • Reduction Algorithm 50%
  • Data Locality 50%
  • Kernel Execution 50%

• Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs

  Abdelfattah, A., Ltaief, H., Keyes, D. & Dongarra, J., 2016, In: Concurrency and Computation: Practice and Experience.

  Research output: Contribution to journal › Article › peer-review

• Porting the PLASMA Numerical Library to the OpenMP Standard

  YarKhan, A., Kurzak, J., Luszczek, P. & Dongarra, J., 2016, In: International Journal of Parallel Programming. p. 1-22 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Numerical Library 100%
  • Parallelization 50%
  • Multicore Processor 50%
  • Tracking Data 50%
  • Multithreading 50%

• Updating incomplete factorization preconditioners for model order reduction

  Anzt, H., Chow, E., Saak, J. & Dongarra, J., Nov 2016, In: Numerical Algorithms. 73, 3, p. 611-630 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Preconditioner 100%
  • Linear Systems 28%
  • Iterative Algorithm 14%
  • Experimental Result 14%
  • Factorization Algorithm 14%
• 2015

  Acceleration of GPU-based Krylov solvers via data transfer reduction

  Anzt, H., Tomov, S., Luszczek, P., Sawyer, W. & Dongarra, J., 28 Aug 2015, In: International Journal of High Performance Computing Applications. 29, 3, p. 366-383 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Graphics Processing Unit 100%
  • Krylov Subspace 75%
  • Data Communication 50%
  • Performance Gain 25%
  • Floating Point 25%

• Algorithm-based Fault Tolerance for Dense Matrix Factorizations, Multiple Failures and Accuracy

  Bouteiller, A., Herault, T., Bosilca, G., Du, P. & Dongarra, J., Jan 2015, In: ACM Transactions on Parallel Computing. 1, 2

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  122 Downloads (Pure)

• Assessing the cost of redistribution followed by a computational kernel: Complexity and performance results

  Herrmann, J., Bosilca, G., Hérault, T., Marchal, L., Robert, Y. & Dongarra, J., 14 Nov 2015, In: Parallel Computing. 52, p. 22-41 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Computational Kernel 100%
  • Data Distribution 100%
  • Data Processor 33%
  • Multicore 33%
  • Data Item 33%

• A survey of recent developments in parallel implementations of Gaussian elimination

  Donfack, S., Dongarra, J., Faverge, M., Gates, M., Kurzak, J., Luszczek, P. & Yamazaki, I., 2 Jun 2015, In: Concurrency and Computation: Practice & Experience. 27, 5, p. 1292-1309 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Parallel Implementation 100%
  • Gaussian Elimination 100%
  • Linear Systems 100%
  • Gaussian Distribution 100%
  • Linear Algebra 50%

• Batched matrix computations on hardware accelerators based on GPUs

  Haidar, A., Dong, T., Luszczek, P., Tomov, S. & Dongarra, J., 9 Feb 2015, In: International Journal of High Performance Computing Applications. 29, 2, p. 193-208 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Energy Efficient 100%
  • Computation Matrix 100%
  • Multicore 100%
  • Hardware Accelerator 100%
  • Use Case 50%

• Composing resilience techniques: ABFT, periodic and incremental checkpointing

  Bosilca, G., Bouteiller, A., Herault, T., Robert, Y. & Dongarra, J., Jan 2015, In: International Journal of Networking and Computing. 5, 1, p. 2-25

  Research output: Contribution to journal › Article › peer-review

• Computing Low-Rank Approximation of a Dense Matrix on Multicore CPUs with a GPU and Its Application to Solving a Hierarchically Semiseparable Linear System of Equations

  Yamazaki, I., Tomov, S. & Dongarra, J., 20 Jan 2015, In: Scientific Programming. 2015, 246019.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Matrix 100%
  • Systems of Linear Equation 100%
  • Low-Rank Approximation 100%
  • Factorization 50%
  • Factorization Process 50%
  110 Downloads (Pure)

• Exascale computing and big data

  Reed, D. A. & Dongarra, J., Jul 2015, In: Communications of the ACM. 58, 7, p. 56-68 13 p.

  Research output: Contribution to journal › Article › peer-review

  • High-Performance Computing 100%
  • Exascale Computing 100%
  • Big Data 100%
  • Big Data Analytics 100%
  • Machine Learning 50%

• Experiences in autotuning matrix multiplication for energy minimization on GPUs

  Anzt, H., Haugen, B., Kurzak, J., Luszczek, P. & Dongarra, J., 24 Mar 2015, (Accepted/In press) In: Concurrency and Computation: Practice & Experience. 27, 17, p. 5096-5113

  Research output: Contribution to journal › Article › peer-review

  • Energy Minimisation 100%