Publications

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Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, “Designing LU-QR Hybrid Solvers for Performance and Stability,” IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (4.2 MB)
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, “Designing LU-QR hybrid solvers for performance and stability,” University of Tennessee Computer Science Technical Report (also LAWN 282), no. ut-eecs-13-719: University of Tennessee, October 2013.  (4.11 MB)
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, “Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs,” 2020 IEEE High Performance Extreme Computing Virtual Conference: IEEE, September 2020.  (476.36 KB)
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, “Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-12: University of Tennessee, August 2020.  (476.36 KB)
Haidar, A., A. Abdelfattah, M. Zounon, P. Wu, S. Pranesh, S. Tomov, and J. Dongarra, “The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques,” International Conference on Computational Science (ICCS 2018), vol. 10860, Wuxi, China, Springer, pp. 586–600, June 2018.  (487.88 KB)
Luszczek, P., and J. Dongarra, “Design of an Interactive Environment for Numerically Intensive Parallel Linear Algebra Calculations,” International Conference on Computational Science, Poland, Springer Verlag, June 2004.  (88.31 KB)
Luszczek, P., and J. Dongarra, “Design of an Interactive Environment for Numerically Intensive Parallel Linear Algebra Calculations,” International Conference on Computational Science, Poland, Springer Verlag, June 2004.  (88.31 KB)
Cao, C., G. Bosilca, T. Herault, and J. Dongarra, “Design for a Soft Error Resilient Dynamic Task-based Runtime,” 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.  (2.31 MB)
Cao, C., T. Herault, G. Bosilca, and J. Dongarra, “Design for a Soft Error Resilient Dynamic Task-based Runtime,” ICL Technical Report, no. ICL-UT-14-04: University of Tennessee, November 2014.  (2.61 MB)
Kabir, K., A. Haidar, S. Tomov, and J. Dongarra, “On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors,” ISC High Performance 2015, Frankfurt, Germany, July 2015.  (1.49 MB)
Dongarra, J., S. Hammarling, N. J. Higham, S. Relton, P. Valero-Lara, and M. Zounon, “The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems,” International Conference on Computational Science (ICCS 2017), Zürich, Switzerland, Elsevier, June 2017.  (446.14 KB)
Kurzak, J., P. Luszczek, I. Yamazaki, Y. Robert, and J. Dongarra, “Design and Implementation of the PULSAR Programming System for Large Scale Computing,” Supercomputing Frontiers and Innovations, vol. 4, issue 1, 2017.  (764.96 KB)
D'Azevedo, E., and J. Dongarra, “The Design and Implementation of the Parallel Out of Core ScaLAPACK LU, QR, and Cholesky Factorization Routines,” Concurrency: Practice and Experience, vol. 12, no. 15, pp. 1481-1493, January 2000.  (374.18 KB)
Raman, G., and J. Dongarra, “Design and Implementation of NetSolve using DCOM as the Remoting Layer,” University of Tennessee Computer Science Department Technical Report, no. UT-CS-00-440, May 2000.  (65.45 KB)
Yamazaki, I., J. Kurzak, P. Luszczek, and J. Dongarra, “Design and Implementation of a Large Scale Tree-Based QR Decomposition Using a 3D Virtual Systolic Array and a Lightweight Runtime,” Workshop on Large-Scale Parallel Processing, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (398.16 KB)
Tomov, S., A. Haidar, A. Ayala, D. Schultz, and J. Dongarra, “Design and Implementation for FFT-ECP on Distributed Accelerated Systems,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-05: University of Tennessee, April 2019.  (3.19 MB)
Roche, K., and J. Dongarra, “Deploying Parallel Numerical Library Routines to Cluster Computing in a Self Adapting Fashion,” Parallel Computing: Advances and Current Issues:Proceedings of the International Conference ParCo2001, London, England, Imperial College Press, January 2002.  (381.89 KB)
Casanova, H., J. Plank, M. Beck, and J. Dongarra, “Deploying Fault-tolerance and Task Migration with NetSolve,” Future Generation Computer Systems, vol. 15, no. 5-6: Elsevier, pp. 745-755, October 1999.  (236 KB)
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, “Dependency-Driven Scheduling of Dense Matrix Factorizations on Shared-Memory Systems,” PPAM 2009, Poland, September 2009.
Baboulin, M., J. Dongarra, A. Remy, S. Tomov, and I. Yamazaki, “Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures,” Lecture Notes in Computer Science, vol. 9573: Springer International Publishing, pp. 86-95, September 2015, 2016.  (327.14 KB)
Tomov, S., R. Nath, H. Ltaeif, and J. Dongarra, “Dense Linear Algebra Solvers for Multicore with GPU Accelerators,” Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on, Atlanta, GA, pp. 1-8, 2010.  (1 MB)
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Luszczek, and J. Dongarra, “Dense Linear Algebra on Distributed Heterogeneous Hardware with a Symbolic DAG Approach,” Scalable Computing and Communications: Theory and Practice: John Wiley & Sons, pp. 699-735, March 2013.  (1.01 MB)
Dongarra, J., J. Kurzak, P. Luszczek, and S. Tomov, “Dense Linear Algebra on Accelerated Multicore Hardware,” High Performance Scientific Computing: Algorithms and Applications, London, UK, Springer-Verlag, 00 2012.
Tomov, S., and J. Dongarra, “Dense Linear Algebra for Hybrid GPU-based Systems,” Scientific Computing with Multicore and Accelerators, Boca Raton, Florida, CRC Press, 2010.
Yamazaki, I., S. Tomov, and J. Dongarra, “Deflation Strategies to Improve the Convergence of Communication-Avoiding GMRES,” 5th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, New Orleans, LA, November 2014.  (465.52 KB)
Pjesivac–Grbovic, J., G. Bosilca, G. Fagg, T. Angskun, and J. Dongarra, “Decision Trees and MPI Collective Algorithm Selection Problem,” Euro-Par 2007, Rennes, France, Springer, pp. 105–115, August 2007.  (552.94 KB)
Bouteiller, A., G. Bosilca, T. Herault, and J. Dongarra, “Data Movement Interfaces to Support Dataflow Runtimes,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-03: University of Tennessee, May 2018.  (210.94 KB)
Dongarra, J., R. Graybill, W. Harrod, R. Lucas, E. Lusk, P. Luszczek, J. McMahon, A. Snavely, J. Vetter, K. Yelick, et al., “DARPA's HPCS Program: History, Models, Tools, Languages,” in Advances in Computers, vol. 72: Elsevier, January 2008.  (3.61 MB)
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Lemariner, and J. Dongarra, “DAGuE: A Generic Distributed DAG Engine for High Performance Computing,” Proceedings of the Workshops of the 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS 2011 Workshops), Anchorage, Alaska, USA, IEEE, pp. 1151-1158, 00 2011.  (830.85 KB)
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Lemariner, and J. Dongarra, “DAGuE: A generic distributed DAG engine for high performance computing,” Innovative Computing Laboratory Technical Report, no. ICL-UT-10-01, April 2010.  (830.85 KB)
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Lemariner, and J. Dongarra, “DAGuE: A generic distributed DAG Engine for High Performance Computing.,” Parallel Computing, vol. 38, no. 1-2: Elsevier, pp. 27-51, 00 2012.  (830.85 KB)
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Mellor-Crummey, J., P. Beckman, J. Dongarra, B. Miller, and K. Yelick, “Creating Software Technology to Harness the Power of Leadership-class Computing Systems,” DOE SciDAC Review (to appear), June 2007.  (617.02 KB)
Agarwal, P., R. A.. Alexander, E.. Apra, S. Balay, A. S. Bland, J. Colgan, E. D'Azevedo, J. Dongarra, T. Dunigan, M. Fahey, et al., “Cray X1 Evaluation Status Report,” Oak Ridge National Laboratory Report, vol. /-2004/13, January 2004.  (817.33 KB)
Jia, Y., P. Luszczek, G. Bosilca, and J. Dongarra, “CPU-GPU Hybrid Bidiagonal Reduction With Soft Error Resilience,” ScalA '13 Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Montpellier, France, November 2013.  (238.58 KB)
Danalis, A., H. Jagode, H. Hanumantharayappa, S. Ragate, and J. Dongarra, “Counter Inspection Toolkit: Making Sense out of Hardware Performance Events,” 11th International Workshop on Parallel Tools for High Performance Computing, Dresden, Germany, Cham, Switzerland: Springer, February 2019.  (216.39 KB)
Bouteiller, A., T. Herault, G. Bosilca, and J. Dongarra, “Correlated Set Coordination in Fault Tolerant Message Logging Protocols,” Proceedings of 17th International Conference, Euro-Par 2011, Part II, vol. 6853, Bordeaux, France, Springer, pp. 51-64, August 2011.  (486.68 KB)
Bouteiller, A., T. Herault, G. Bosilca, and J. Dongarra, “Correlated Set Coordination in Fault Tolerant Message Logging Protocols,” Concurrency and Computation: Practice and Experience, vol. 25, issue 4, pp. 572-585, March 2013.  (636.68 KB)
Arnold, D., S. Vadhiyar, and J. Dongarra, “On the Convergence of Computational and Data Grids,” Parallel Processing Letters, vol. 11, no. 2-3, pp. 187-202, January 2001.  (213.35 KB)
Bosilca, G., T. Herault, and J. Dongarra, “Context Identifier Allocation in Open MPI,” University of Tennessee Computer Science Technical Report, no. ICL-UT-16-01: Innovative Computing Laboratory, University of Tennessee, January 2016.  (490.89 KB)
Lemariner, P., G. Bosilca, C. Coti, T. Herault, and J. Dongarra, “Constructing Resilient Communication Infrastructure for Runtime Environments,” ParCo 2009, Lyon France, September 2009.
Bosilca, G., C. Coti, T. Herault, P. Lemariner, and J. Dongarra, “Constructing resiliant communication infrastructure for runtime environments,” Innovative Computing Laboratory Technical Report, no. ICL-UT-09-02, July 2009.  (463.71 KB)
Bosilca, G., C. Coti, T. Herault, P. Lemariner, and J. Dongarra, “Constructing Resiliant Communication Infrastructure for Runtime Environments in Advances in Parallel Computing,” Advances in Parallel Computing - Parallel Computing: From Multicores and GPU's to Petascale, vol. 19, pp. 441-451, 2010.
Tomov, S., J. Langou, J. Dongarra, A. Canning, and L-W. Wang, “Conjugate-Gradient Eigenvalue Solvers in Computing Electronic Properties of Nanostructure Architectures,” International Journal of Computational Science and Engineering, vol. 2, no. 3/4, pp. 205-212, 00 2006.  (428.21 KB)
Tomov, S., J. Langou, A. Canning, L-W. Wang, and J. Dongarra, “Conjugate-Gradient Eigenvalue Solvers in Computing Electronic Properties of Nanostructure Architectures,” International Journal of Computational Science and Engineering (to appear), January 2005.  (428.21 KB)
Chen, Z., and J. Dongarra, “Condition Numbers of Gaussian Random Matrices,” University of Tennessee Computer Science Department Technical Report, vol. –04-539, 00 2005.  (186.46 KB)
Chen, Z., and J. Dongarra, “Condition Numbers of Gaussian Random Matrices,” SIAM Journal on Matrix Analysis and Applications (to appear), January 2005.  (186.46 KB)
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, “Computing the Conditioning of the Components of a Linear Least-squares Solution,” Numerical Linear Algebra with Applications, vol. 16, no. 7, pp. 517-533, 00 2009.  (374.97 KB)
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, “Computing the Conditioning of the Components of a Linear Least Squares Solution,” University of Tennessee Computer Science Technical Report, no. UT-CS-07-604, (also LAPACK Working Note 193), January 2007.  (374.97 KB)
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, “Computing the Conditioning of the Components of a Linear Least Squares Solution,” VECPAR '08, High Performance Computing for Computational Science, Toulouse, France, January 2008.  (374.97 KB)
Yamazaki, I., S. Tomov, and J. Dongarra, “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,” Scientific Programming, 2015.  (648.87 KB)

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