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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.,” Parallel Computing, vol. 38, no. 1-2: Elsevier, pp. 27-51, 00 2012.  (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,” 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)
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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. DOI: 10.1007/978-3-030-11987-4_2  (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. DOI: 10.1002/cpe.2859  (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. DOI: 10.3233/978-1-60750-530-3-441
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)
Baboulin, M., J. Dongarra, and R. Lacroix, Computing Least Squares Condition Numbers on Hybrid Multicore/GPU Systems,” International Interdisciplinary Conference on Applied Mathematics, Modeling and Computational Science (AMMCS), Waterloo, Ontario, CA, August 2014.  (130.18 KB)
Computational Science – ICCS 2009, Proceedings of the 9th International Conference,” Lecture Notes in Computer Science: Theoretical Computer Science and General Issues, vol. -, no. 5544-5545, Baton Rouge, LA, May 2009.
Sloot, P. M., D. Abramson, A. V. Bogdanov, J. Dongarra, A. Zomaya, and Y. Gorbachev, Computational Science — ICCS 2003,” Lecture Notes in Computer Science, vol. 2657-2660, ICCS 2003, International Conference. Melbourne, Australia, Springer-Verlag, Berlin, June 2003.
Sun, J., J. Fu, J. Drake, Q. Zhu, A. Haidar, M. Gates, S. Tomov, and J. Dongarra, Computational Benefit of GPU Optimization for Atmospheric Chemistry Modeling,” Journal of Advances in Modeling Earth Systems, vol. 10, issue 8, pp. 1952–1969, August 2018. DOI: 10.1029/2018MS001276  (3.4 MB)
Haidar, A., H. Ltaeif, P. Luszczek, and J. Dongarra, A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction,” IPDPS 2012, Shanghai, China, May 2012.  (480.43 KB)
Bosilca, G., A. Bouteiller, T. Herault, Y. Robert, and J. Dongarra, Composing Resilience Techniques: ABFT, Periodic, and Incremental Checkpointing,” International Journal of Networking and Computing, vol. 5, no. 1, pp. 2-15, January 2015.  (755.54 KB)
Eijkhout, V., E. Fuentes, T. Eidson, and J. Dongarra, The Component Structure of a Self-Adapting Numerical Software System,” International Journal of Parallel Programming, vol. 33, no. 2, June 2005.  (64.88 KB)
Seymour, K., H. You, and J. Dongarra, A Comparison of Search Heuristics for Empirical Code Optimization,” The 3rd international Workshop on Automatic Performance Tuning, Tsukuba, Japan, October 2008.  (772.48 KB)
Arbenz, P., A. Cleary, J. Dongarra, and M. Hegland, A Comparison of Parallel Solvers for General Narrow Banded Linear Systems,” Parallel and Distributed Computing Practices, vol. 2, pp. 385-400, October 2002.  (304.96 KB)
Arbenz, P., A. Cleary, J. Dongarra, and M. Hegland, A Comparison of Parallel Solvers for General Narrow Banded Linear Systems (LAPACK Working Note 142),” University of Tennessee Computer Science Technical Report, no. UT-CS-99-414, January 1999.  (304.96 KB)
Arbenz, P., A. Cleary, J. Dongarra, and M. Hegland, A Comparison of Parallel Solvers for Diagonally Dominant and General Narrow Banded Linear Systems II (LAPACK Working Note 143),” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-415, January 1999.  (174.46 KB)
Tomov, S., J. Langou, A. Canning, L-W. Wang, and J. Dongarra, Comparison of Nonlinear Conjugate-Gradient methods for computing the Electronic Properties of Nanostructure Architectures,” Proceedings of 5th International Conference on Computational Science (ICCS), Atlanta, GA, USA, Springer's Lecture Notes in Computer Science, pp. 317-325, January 2005.  (172.86 KB)
Tomov, S., J. Langou, A. Canning, L-W. Wang, and J. Dongarra, Comparison of Nonlinear Conjugate-Gradient methods for computing the Electronic Properties of Nanostructure Architectures,” Proceedings of 5th International Conference on Computational Science (ICCS), Atlanta, GA, USA, Springer's Lecture Notes in Computer Science, pp. 317-325, January 2005.  (172.86 KB)
Le Fèvre, V., T. Herault, Y. Robert, A. Bouteiller, A. Hori, G. Bosilca, and J. Dongarra, Comparing the Performance of Rigid, Moldable, and Grid-Shaped Applications on Failure-Prone HPC Platforms,” Parallel Computing, vol. 85, pp. 1–12, July 2019. DOI: 10.1016/j.parco.2019.02.002  (865.18 KB)
Yamazaki, I., M. Hoemmen, P. Luszczek, and J. Dongarra, Comparing performance of s-step and pipelined GMRES on distributed-memory multicore CPUs , Pittsburgh, Pennsylvania, SIAM Annual Meeting, July 2017.  (748 KB)
Agullo, E., B. Hadri, H. Ltaeif, and J. Dongarra, Comparative Study of One-Sided Factorizations with Multiple Software Packages on Multi-Core Hardware,” 2009 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC '09) (to appear), 00 2009.  (515.63 KB)
Ballard, G., D. Becker, J. Demmel, J. Dongarra, A. Druinsky, I. Peled, O. Schwartz, S. Toledo, and I. Yamazaki, Communication-Avoiding Symmetric-Indefinite Factorization,” SIAM Journal on Matrix Analysis and Application, vol. 35, issue 4, pp. 1364-1406, July 2014.  (593.18 KB)
Pei, Y., Q. Cao, G. Bosilca, P. Luszczek, V. Eijkhout, and J. Dongarra, Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime,” 21st IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2020), New Orleans, LA, IEEE, May 2020.  (1.33 MB)
Terpstra, D., H. Jagode, H. You, and J. Dongarra, Collecting Performance Data with PAPI-C,” Tools for High Performance Computing 2009, 3rd Parallel Tools Workshop, Dresden, Germany, Springer Berlin / Heidelberg, pp. 157-173, May 2010. DOI: 10.1007/978-3-642-11261-4_11  (4.45 MB)
Cao, C., J. Dongarra, P. Du, M. Gates, P. Luszczek, and S. Tomov, clMAGMA: High Performance Dense Linear Algebra with OpenCL,” University of Tennessee Technical Report (Lawn 275), no. UT-CS-13-706: University of Tennessee, March 2013.  (526.6 KB)
Cao, C., J. Dongarra, P. Du, M. Gates, P. Luszczek, and S. Tomov, clMAGMA: High Performance Dense Linear Algebra with OpenCL ,” International Workshop on OpenCL, Bristol University, England, May 2014.  (460.91 KB)
Buttari, A., J. Langou, J. Kurzak, and J. Dongarra, A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures,” Parallel Computing (to appear), 00 2010.  (612.23 KB)

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