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Lindquist, N., M. Gates, P. Luszczek, and J. Dongarra, “Threshold Pivoting for Dense LU Factorization,” ScalAH22: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems , Dallas, Texas, IEEE, November 2022.  (721.77 KB)
Lindquist, N., P. Luszczek, and J. Dongarra, “Using Additive Modifications in LU Factorization Instead of Pivoting,” 37th ACM International Conference on Supercomputing (ICS'23), Orlando, FL, ACM, June 2023.  (624.18 KB)
Lindquist, N., P. Luszczek, and J. Dongarra, “Accelerating Restarted GMRES with Mixed Precision Arithmetic,” IEEE Transactions on Parallel and Distributed Systems, June 2021.  (572.4 KB)
Lindquist, N., P. Luszczek, and J. Dongarra, “Improving the Performance of the GMRES Method using Mixed-Precision Techniques,” Smoky Mountains Computational Sciences & Engineering Conference (SMC2020), August 2020.  (600.33 KB)
Li, Y., J. Dongarra, K. Seymour, and A. YarKhan, “Request Sequencing: Enabling Workflow for Efficient Problem Solving in GridSolve,” International Conference on Grid and Cooperative Computing (GCC 2008) (submitted), Shenzhen, China, October 2008.  (1.64 MB)
Li, Y., and J. Dongarra, “Request Sequencing: Enabling Workflow for Efficient Parallel Problem Solving in GridSolve,” ICL Technical Report, no. ICL-UT-08-01, April 2008.  (1.64 MB)
Li, Y., J. Dongarra, and S. Tomov, “A Note on Auto-tuning GEMM for GPUs,” 9th International Conference on Computational Science (ICCS 2009), no. 5544-5545, Baton Rouge, LA, pp. 884-892, May 2009.  (236.02 KB)
Li, J., G. Bosilca, A. Bouteiller, and B. Nicolae, “Elastic deep learning through resilient collective operations,” SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, November 2023.
Li, Y., A. YarKhan, J. Dongarra, K. Seymour, and A. Hurault, “Enabling Workflows in GridSolve: Request Sequencing and Service Trading,” Journal of Supercomputing, vol. 64, issue 3, pp. 1133-1152, June 2013.  (821.29 KB)
Li, J., B. Nicolae, J. M. Wozniak, and G. Bosilca, “Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training,” 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC), Denver, CO, IEEE, November 2019.  (696.89 KB)
Funk, Y., M. Götz, and H. Anzt, “Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning,” 2022 SIAM Conference on Parallel Processing for Scientific Computing (PP), Philadelphia, PA, Society for Industrial and Applied Mathematics, pp. 14 - 24.
Lemariner, P., G. Bosilca, C. Coti, T. Herault, and J. Dongarra, “Constructing Resilient Communication Infrastructure for Runtime Environments,” ParCo 2009, Lyon France, September 2009.
Lee, DW., and J. Dongarra, “VisPerf: Monitoring Tool for Grid Computing,” Lecture Notes in Computer Science, vol. 2659: Springer Verlag, Heidelberg, pp. 233-243, 00 2003.  (835.09 KB)
Le Fèvre, V., G. Bosilca, A. Bouteiller, T. Herault, A. Hori, Y. Robert, and J. Dongarra, “Do moldable applications perform better on failure-prone HPC platforms?,” 11th Workshop on Resiliency in High Performance Computing in Clusters, Clouds, and Grids, Turin, Italy, Springer Verlag, August 2018.  (360.72 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.  (865.18 KB)
“,” 15th European PVM/MPI Users' Group Meeting, Recent Advances in Parallel Virtual Machine and Message Passing Interface, Lecture Notes in Computer Science, vol. 5205, Dublin Ireland, Springer Berlin, January 2008.
Langou, J., J. Langou, P. Luszczek, J. Kurzak, A. Buttari, and J. Dongarra, “Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy,” University of Tennessee Computer Science Tech Report, no. UT-CS-06-574, LAPACK Working Note #175, April 2006.  (221.39 KB)
Langou, J., Z. Chen, G. Bosilca, and J. Dongarra, “Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” SIAM SISC (to appear), May 2007.  (241.36 KB)
Langou, J., and J. Dongarra, “The Problem with the Linpack Benchmark Matrix Generator,” International Journal of High Performance Computing Applications, vol. 23, no. 1, pp. 5-14, 00 2009.  (136.41 KB)
Langou, J., B. Hoffman, and B. King, “How LAPACK library enables Microsoft Visual Studio support with CMake and LAPACKE,” University of Tennessee Computer Science Technical Report (also LAWN 270), no. UT-CS-12-698, July 2012.  (501.53 KB)
Lacoste, X., M. Faverge, P. Ramet, S. Thibault, and G. Bosilca, “Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes,” 23rd International Heterogeneity in Computing Workshop, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (807.33 KB)

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