Publications

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D
Dorris, J., A. YarKhan, J. Kurzak, P. Luszczek, and J. Dongarra, Task Based Cholesky Decomposition on Xeon Phi Architectures using OpenMP,” International Journal of Computational Science and Engineering (IJCSE), vol. 17, no. 3, October 2018.
Aggarwal, I., P. Nayak, A. Kashi, and H. Anzt, Preconditioners for Batched Iterative Linear Solvers on GPUs,” Smoky Mountains Computational Sciences and Engineering Conference, vol. 169075: Springer Nature Switzerland, pp. 38 - 53, January 2023.
Du, P., R. Weber, P. Luszczek, S. Tomov, G. D. Peterson, and J. Dongarra, From CUDA to OpenCL: Towards a Performance-portable Solution for Multi-platform GPU Programming,” Parallel Computing, vol. 38, no. 8, pp. 391-407, August 2012.  (1.64 MB)
Du, P., P. Luszczek, S. Tomov, and J. Dongarra, Soft Error Resilient QR Factorization for Hybrid System with GPGPU,” Journal of Computational Science, Seattle, WA, Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems at SC11, November 2011.  (965.88 KB)
Du, P., P. Luszczek, S. Tomov, and J. Dongarra, Soft Error Resilient QR Factorization for Hybrid System,” University of Tennessee Computer Science Technical Report, no. UT-CS-11-675, Knoxville, TN, July 2011.  (1.39 MB)
Du, P., P. Luszczek, S. Tomov, and J. Dongarra, Soft Error Resilient QR Factorization for Hybrid System,” UT-CS-11-675 (also LAPACK Working Note #252), no. ICL-CS-11-675, July 2011.  (1.39 MB)
Du, P., M. Parsons, E. Fuentes, S-L. Shaw, and J. Dongarra, Tuning Principal Component Analysis for GRASS GIS on Multi-core and GPU Architectures,” FOSS4G 2010, Barcelona, Spain, September 2010.  (1.57 MB)
Du, P., P. Luszczek, S. Tomov, and J. Dongarra, Soft Error Resilient QR Factorization for Hybrid System with GPGPU,” Journal of Computational Science, vol. 4, issue 6, pp. 457–464, November 2013.  (995.45 KB)
Du, P., P. Luszczek, and J. Dongarra, OpenCL Evaluation for Numerical Linear Algebra Library Development,” Symposium on Application Accelerators in High-Performance Computing (SAAHPC '10), Knoxville, TN, July 2010.  (2.69 MB)
Du, P., A. Bouteiller, G. Bosilca, T. Herault, and J. Dongarra, Algorithm-Based Fault Tolerance for Dense Matrix Factorization,” Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 2012, New Orleans, LA, USA, ACM, pp. 225-234, February 2012.  (865.79 KB)
Du, Y., G. Pallez, L. Marchal, and Y. Robert, Optimal Checkpointing Strategies for Iterative Applications,” IEEE Transactions on Parallel Distributed Systems, vol. 33, issue 3, pp. 507-522, March 2022.  (1.47 MB)
Du, P., P. Luszczek, and J. Dongarra, High Performance Dense Linear System Solver with Resilience to Multiple Soft Errors,” ICCS 2012, Omaha, NE, June 2012.  (1.27 MB)
Du, P., P. Luszczek, and J. Dongarra, High Performance Dense Linear System Solver with Soft Error Resilience,” IEEE Cluster 2011, Austin, TX, September 2011.  (1.27 MB)
Du, Y., L. Marchal, G. Pallez, and Y. Robert, Robustness of the Young/Daly Formula for Stochastic Iterative Applications,” 49th International Conference on Parallel Processing (ICPP 2020), Edmonton, AB, Canada, ACM Press, August 2020.  (1.11 MB)
Du, P., A. Bouteiller, G. Bosilca, T. Herault, and J. Dongarra, Algorithm-based Fault Tolerance for Dense Matrix Factorizations,” University of Tennessee Computer Science Technical Report, no. UT-CS-11-676, Knoxville, TN, August 2011.  (865.79 KB)
Du, P., P. Luszczek, S. Tomov, and J. Dongarra, Mixed-Tool Performance Analysis on Hybrid Multicore Architectures,” First International Workshop on Parallel Software Tools and Tool Infrastructures (PSTI 2010), San Diego, CA, September 2010.  (1.24 MB)
Du, P., S. Tomov, and J. Dongarra, Providing GPU Capability to LU and QR within the ScaLAPACK Framework,” University of Tennessee Computer Science Technical Report (also LAWN 272), no. UT-CS-12-699, September 2012.  (7.48 MB)
E
Eberius, D., T. Patinyasakdikul, and G. Bosilca, Using Software-Based Performance Counters to Expose Low-Level Open MPI Performance Information,” EuroMPI, Chicago, IL, ACM, September 2017.  (745.58 KB)
Eidson, T., V. Eijkhout, and J. Dongarra, Improvements in the Efficient Composition of Applications,” IPDPS 2004, NGS Workshop (to appear), Sante Fe, 00 2004.  (42.85 KB)
Eidson, T., J. Dongarra, and V. Eijkhout, Applying Aspect-Oriented Programming Concepts to a Component-based Programming Model,” IPDPS 2003, Workshop on NSF-Next Generation Software, Nice, France, March 2003.  (66.99 KB)
Kurzak, J., M. Gates, A. Charara, A. YarKhan, and J. Dongarra, Least Squares Solvers for Distributed-Memory Machines with GPU Accelerators,” ACM International Conference on Supercomputing (ICS '19), Phoenix, Arizona, ACM, pp. 117–126, June 2019.  (1.63 MB)
Eijkhout, V., Numerical Metadata API Reference,” Innovative Computing Laboratory Technical Report, February 2007.  (454.79 KB)
Eijkhout, V., Polynomial Acceleration of Optimised Multi-grid Smoothers; Basic Theory,” ICL Technical Report, vol. 156, no. ICL-UT-02-03, January 2002.  (100.66 KB)
Eijkhout, V., On the Existence Problem of Incomplete Factorisation Methods,” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-435, December 1999.  (222.2 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)
Eijkhout, V., and E. Fuentes, A Proposed Standard for Matrix Metadata,” Innovative Computing Laboratory Technical Report, no. ICL-UT-03-02, Submitted to ACM TOMS, November 2003.  (13.39 KB)
Eijkhout, V., Automatic Determination of Matrix-Blocks,” Lapack Working Note 151, University of Tennessee Computer Science Technical Report, no. UT-CS-01-458, January 2001.  (1.15 MB)
Eijkhout, V., The 'Weighted Modification' Incomplete Factorisation Method,” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-436, December 1999.  (198.71 KB)
Elwasif, W., M. Beck, and J. Plank, IBP - Internet Backplane Protocol: Infrastructure for Distributed Storage (V O.2),” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-430, February 1999.  (37.72 KB)
Emad, N., S. A. S. Fazeli, and J. Dongarra, An Asynchronous Algorithm on NetSolve Global Computing System,” PRiSM - Laboratoire de recherche en informatique, Université de Versailles St-Quentin Technical Report, March 2004.  (377.33 KB)
F
Fagg, G., and J. Dongarra, Building and using a Fault Tolerant MPI implementation,” International Journal of High Performance Applications and Supercomputing (to appear), 00 2004.
Fagg, G., and J. Dongarra, FT-MPI: Fault Tolerant MPI, Supporting Dynamic Applications in a Dynamic World,” Lecture Notes in Computer Science: Proceedings of EuroPVM-MPI 2000, (Hungary: Springer Verlag, 2000), pp. V1908,346-353, January 2000.  (51.95 KB)
Fagg, G., E. Gabriel, Z. Chen, T. Angskun, G. Bosilca, A. Bukovsky, and J. Dongarra, Fault Tolerant Communication Library and Applications for High Performance Computing,” Los Alamos Computer Science Institute (LACSI) Symposium 2003 (presented), Santa Fe, NM, October 2003.  (146.05 KB)
Fagg, G., E. Gabriel, and M. Resch, Parallel IO Support for Meta-Computing Applications: MPI_Connect IO Applied to PACX-MPI,” 8th European PVM/MPI User's Group Meeting, Lecture Notes in Computer Science, vol. 2131, Greece, Springer Verlag, Berlin, September 2001.  (129.3 KB)
Fagg, G., K. Moore, and J. Dongarra, Scalable Networked Information Processing Environment (SNIPE),” Journal on Future Generation Computer Systems, vol. 15, no. 5/6, pp. 595-605, January 1999.  (189.21 KB)
Fagg, G., E. Gabriel, Z. Chen, T. Angskun, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Process Fault-Tolerance: Semantics, Design and Applications for High Performance Computing,” International Journal for High Performance Applications and Supercomputing (to appear), April 2004.  (186.9 KB)
Fagg, G., and J. Dongarra, HARNESS Fault Tolerant MPI Design, Usage and Performance Issues,” Future Generation Computer Systems, vol. 18, no. 8, pp. 1127-1142, January 2002.  (403.41 KB)
Fagg, G., E. Gabriel, G. Bosilca, T. Angskun, Z. Chen, J. Pjesivac–Grbovic, K. London, and J. Dongarra, Extending the MPI Specification for Process Fault Tolerance on High Performance Computing Systems,” Proceedings of ISC2004 (to appear), Heidelberg, Germany, June 2004.  (548.38 KB)
Fagg, G., A. Bukovsky, and J. Dongarra, HARNESS and Fault Tolerant MPI,” Parallel Computing, vol. 27, no. 11, pp. 1479-1496, January 2001.  (164.2 KB)
Fagg, G., T. Angskun, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Scalable Fault Tolerant MPI: Extending the Recovery Algorithm,” Proceedings of 12th European Parallel Virtual Machine and Message Passing Interface Conference - Euro PVM/MPI, vol. 3666, Sorrento (Naples) , Italy, Springer-Verlag Berlin, pp. 67, September 2005.  (144.86 KB)
Fagg, G., J. Pjesivac–Grbovic, G. Bosilca, T. Angskun, and J. Dongarra, Flexible collective communication tuning architecture applied to Open MPI,” 2006 Euro PVM/MPI (submitted), Bonn, Germany, January 2006.  (206.58 KB)
Fagg, G., A. Bukovsky, and J. Dongarra, Fault Tolerant MPI for the HARNESS Meta-Computing System,” Proceedings of International Conference of Computational Science - ICCS 2001, Lecture Notes in Computer Science, vol. 2073, Berlin, Springer Verlag, pp. 355-366, 00 2001.
Fang, A., A. Cavelan, Y. Robert, and A. Chien, Resilience for Stencil Computations with Latent Errors,” International Conference on Parallel Processing (ICPP), Bristol, UK, IEEE Computer Society Press, August 2017.  (1.19 MB)
Farhan, M. Al, A. Abdelfattah, S. Tomov, M. Gates, D. Sukkari, A. Haidar, R. Rosenberg, and J. Dongarra, MAGMA Templates for Scalable Linear Algebra on Emerging Architectures,” The International Journal of High Performance Computing Applications, vol. 34, issue 6, pp. 645-658, November 2020.
Faverge, M., J. Langou, Y. Robert, and J. Dongarra, Bidiagonalization and R-Bidiagonalization: Parallel Tiled Algorithms, Critical Paths and Distributed-Memory Implementation,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, IEEE, May 2017.  (328.15 KB)
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, Mixing LU-QR Factorization Algorithms to Design High-Performance Dense Linear Algebra Solvers,” Journal of Parallel and Distributed Computing, vol. 85, pp. 32-46, November 2015.  (5.06 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)
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)
Fayad, D., J. Kurzak, P. Luszczek, P. Wu, and J. Dongarra, The Case for Directive Programming for Accelerator Autotuner Optimization,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-07: University of Tennessee, October 2017.  (341.52 KB)
Fischer, M., and J. Dongarra, Experiences with Windows 95/NT as a Cluster Computing Platform for Parallel Computing,” Parallel and Distributed Computing Practices, Special Issue: Cluster Computing, vol. 2, no. 2: Nova Science Publishers, USA, pp. 119-128, February 1999.  (164.04 KB)

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