Publications

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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., “Numerical Metadata API Reference,” Innovative Computing Laboratory Technical Report, February 2007.  (454.79 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)
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)
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)
D
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, 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, 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., 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, 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, 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., 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)
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, 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., 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., 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)
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.
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.
Doolin, D., J. Dongarra, and K. Seymour, “JLAPACK - Compiling LAPACK Fortran to Java,” Scientific Programming, vol. 7, no. 2, pp. 111-138, October 2002.  (307.46 KB)
Dongarra, J., Z. Chen, G. Bosilca, and J. Langou, “Disaster Survival Guide in Petascale Computing: An Algorithmic Approach,” in Petascale Computing: Algorithms and Applications (to appear): Chapman & Hall - CRC Press, 00 2007.  (260.18 KB)
Dongarra, J., “Measuring Computer Performance: A Practioner's Guide,” SIAM Review (book review), vol. 43, no. 2, pp. 383-384, 00 2001.  (558.9 KB)
Dongarra, J., P. Beckman, P. Aerts, F. Cappello, T. Lippert, S. Matsuoka, P. Messina, T. Moore, R. Stevens, A. Trefethen, et al., “The International Exascale Software Project: A Call to Cooperative Action by the Global High Performance Community,” International Journal of High Performance Computing Applications (to appear), July 2009.  (203.04 KB)
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, “High Performance Matrix Inversion Based on LU Factorization for Multicore Architectures,” Proceedings of MTAGS11, Seattle, WA, November 2011.  (879.49 KB)
Dongarra, J., and P. Luszczek, “High Performance Development for High End Computing with Python Language Wrapper (PLW),” International Journal for High Performance Computer Applications, vol. 21, no. 3, pp. 360-369, 00 2007.  (179.32 KB)
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, “Achieving Numerical Accuracy and High Performance using Recursive Tile LU Factorization,” University of Tennessee Computer Science Technical Report (also as a LAWN), no. ICL-UT-11-08, September 2011.  (618.53 KB)
Dongarra, J., “A Tribute to Gene Golub,” Computing in Science and Engineering: IEEE, pp. 5, January 2008.
Dongarra, J., J-F. Pineau, Y. Robert, Z. Shi, and F. Vivien, “Revisiting Matrix Product on Master-Worker Platforms,” International Journal of Foundations of Computer Science (IJFCS), vol. 19, no. 6, pp. 1317-1336, December 2008.  (248.66 KB)
Dongarra, J., G. H. Golub, E. Grosse, C. Moler, and K. Moore, “Twenty-Plus Years of Netlib and NA-Net,” University of Tennessee Computer Science Department Technical Report, UT-CS-04-526, 00 2006.  (62.79 KB)
Dongarra, J., “LINPACK on Future Manycore and GPu Based Systems,” PARA 2010, Reykjavik, Iceland, June 2010.
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, “Recent Trends in High Performance Computing,” in Birth of Numerical Analysis (to appear), 00 2009.
Dongarra, J., T. Dong, M. Gates, A. Haidar, S. Tomov, and I. Yamazaki, MAGMA: A New Generation of Linear Algebra Library for GPU and Multicore Architectures , Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), Presentation, November 2012.  (4.69 MB)
Dongarra, J., “Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),” University of Tennessee Computer Science Department Technical Report, UT-CS-04-526, vol. –89-95, January 2006.  (6.42 MB)
Dongarra, J., P. Beckman, T. Moore, P. Aerts, G. Aloisio, J-C. Andre, D. Barkai, J-Y. Berthou, T. Boku, B. Braunschweig, et al., “The International Exascale Software Project Roadmap,” International Journal of High Performance Computing, vol. 25, no. 1, pp. 3-60, January 2011.  (719.74 KB)
Dongarra, J., J. Demmel, P. Husbands, and P. Luszczek, “HPCS Library Study Effort,” University of Tennessee Computer Science Technical Report, UT-CS-08-617, January 2008.  (73.22 KB)
Dongarra, J., M. A. Heroux, and P. Luszczek, “A New Metric for Ranking High-Performance Computing Systems,” National Science Review, vol. 3, issue 1, pp. 30-35, January 2016.  (393.55 KB)
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, “High Performance Computing Today,” FOMMS 2000: Foundations of Molecular Modeling and Simulation Conference (to appear), January 2000.  (66 KB)
Dongarra, J., “Report on the Sunway TaihuLight System,” University of Tennessee Computer Science Technical Report, no. UT-EECS-16-742: University of Tennessee, June 2016.
Dongarra, J., S. Hammarling, N. J. Higham, S. Relton, and M. Zounon, “Optimized Batched Linear Algebra for Modern Architectures,” Euro-Par 2017, Santiago de Compostela, Spain, Springer, August 2017.  (618.33 KB)
Dongarra, J., D. Laforenza, and S.. Orlando, “Recent Advances in Parallel Virtual Machine and Message Passing Interface,” Lecture Notes in Computer Science, vol. 2840: Springer-Verlag, Berlin, January 2003.
Dongarra, J., and P. Luszczek, “Reducing the time to tune parallel dense linear algebra routines with partial execution and performance modelling,” University of Tennessee Computer Science Technical Report, no. UT-CS-10-661, October 2010.  (287.87 KB)
Dongarra, J., V. Eijkhout, and P. Luszczek, “Recursive Approach in Sparse Matrix LU Factorization,” Scientific Programming, vol. 9, no. 1, pp. 51-60, 00 2001.  (217.16 KB)
Dongarra, J., and P. Luszczek, “HPC Challenge: Design, History, and Implementation Highlights,” Contemporary High Performance Computing: From Petascale Toward Exascale, Boca Raton, FL, Taylor and Francis, 2013.  (790.01 KB)
Dongarra, J., and V. Eijkhout, “Self Adapting Numerical Algorithm for Next Generation Applications,” International Journal of High Performance Computing Applications, vol. 17, no. 2, pp. 125-132, January 2003.  (479.18 KB)
Dongarra, J., “Report on the Fujitsu Fugaku System,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-06: University of Tennessee, June 2020.  (3.3 MB)
Dongarra, J., and et al., “Remembering Ken Kennedy,” SciDAC Review, vol. 5, no. 2007, 00 2007.  (519.68 KB)

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