Publications

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Horton, M., S. Tomov, and J. Dongarra, “A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures,” Symposium for Application Accelerators in High Performance Computing (SAAHPC'11), Knoxville, TN, July 2011.  (329.68 KB)
Hunold, S., A. Bhatele, G. Bosilca, and P. Knees, “Predicting MPI Collective Communication Performance Using Machine Learning,” 2020 IEEE International Conference on Cluster Computing (CLUSTER), Kobe, Japan, IEEE, September 2020.  (619.68 KB)
Hurault, A., and A. YarKhan, “Intelligent Service Trading and Brokering for Distributed Network Services in GridSolve,” VECPAR 2010, 9th International Meeting on High Performance Computing for Computational Science, Berkeley, CA, June 2010.  (256.04 KB)
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Iqbal, Z., S. Nooshabadi, I. Yamazaki, S. Tomov, and J. Dongarra, “Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems,” IEEE Access, 2021.  (1.35 MB)
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Jagode, H., A. Danalis, and J. Dongarra, “Formulation of Requirements for New PAPI++ Software Package: Part I: Survey Results,” PAPI++ Working Notes, no. 1, ICL-UT-20-02: Innovative Computing Laboratory, University of Tennessee Knoxville, January 2020.  (1.49 MB)
Jagode, H., H. Anzt, H. Ltaief, and P. Luszczek, Lecture Notes in Computer Science: High Performance Computing , vol. 12761: Springer International Publishing, 2021.
Jagode, H., A. Danalis, and J. Dongarra, “What it Takes to keep PAPI Instrumental for the HPC Community,” 1st Workshop on Sustainable Scientific Software (CW3S19), Collegeville, Minnesota, July 2019.  (50.57 KB)
Jagode, H., A. Danalis, and D. Genet, “Roadmap for Refactoring Classic PAPI to PAPI++: Part II: Formulation of Roadmap Based on Survey Results,” PAPI++ Working Notes, no. 2, ICL-UT-20-09: Innovative Computing Laboratory, University of Tennessee, July 2020.  (763.75 KB)
Jagode, H., A. YarKhan, A. Danalis, and J. Dongarra, “Power Management and Event Verification in PAPI,” Tools for High Performance Computing 2015: Proceedings of the 9th International Workshop on Parallel Tools for High Performance Computing, September 2015, Dresden, Germany, Dresden, Germany, Springer International Publishing, pp. pp. 41-51, 2016.  (565.14 KB)
Jagode, H., A. Danalis, and J. Dongarra, Exa-PAPI: The Exascale Performance API with Modern C++ , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (556.78 KB)
Jagode, H., A. Danalis, G. Bosilca, and J. Dongarra, “Accelerating NWChem Coupled Cluster through dataflow-based Execution,” 11th International Conference on Parallel Processing and Applied Mathematics (PPAM 2015), Krakow, Poland, Springer International Publishing, September 2015.  (452.82 KB)
Jagode, H., S. Moore, D. Terpstra, J. Dongarra, A. Knuepfer, M. Jurenz, M. S. Mueller, and W. E. Nagel, “I/O Performance Analysis for the Petascale Simulation Code FLASH,” ISC'09, Hamburg, Germany, June 2009.  (88.88 KB)
Jagode, H., A. Danalis, and J. Dongarra, What it Takes to keep PAPI Instrumental for the HPC Community , Collegeville, MN, The 2019 Collegeville Workshop on Sustainable Scientific Software (CW3S19), July 2019.  (3.29 MB)
Jagode, H., A. Knuepfer, J. Dongarra, M. Jurenz, M. S. Mueller, and W. E. Nagel, “Trace-based Performance Analysis for the Petascale Simulation Code FLASH,” Innovative Computing Laboratory Technical Report, no. ICL-UT-09-01, April 2009.  (887.54 KB)
Jagode, H., A. Danalis, H. Anzt, I. Yamazaki, M. Hoemmen, E. Boman, S. Tomov, and J. Dongarra, “Software-Defined Events (SDEs) in MAGMA-Sparse,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-12: University of Tennessee, December 2018.  (481.69 KB)
Jagode, H., A. Knuepfer, J. Dongarra, M. Jurenz, M. S. Mueller, and W. E. Nagel, “Trace-based Performance Analysis for the Petascale Simulation Code FLASH,” International Journal of High Performance Computing Applications (to appear), 00 2010.  (887.54 KB)
Jagode, H., and A. Danalis, PULSE: PAPI Unifying Layer for Software-Defined Events (Poster) , Seattle, WA, 2020 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting, February 2020.  (1.86 MB)
Jagode, H., “Dataflow Programming Paradigms for Computational Chemistry Methods,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-01, Knoxville, TN, University of Tennessee, May 2017.
Jagode, H., J. Hein, and A. Trew, “Task placement of parallel multi-dimensional FFTs on a mesh communication network,” University of Tennessee Computer Science Technical Report, no. UT-CS-08-613, January 2008.  (2.33 MB)
Jagode, H., A. Danalis, and J. Dongarra, PAPI's New Software-Defined Events for In-Depth Performance Analysis , Lyon, France, CCDSC 2018: Workshop on Clusters, Clouds, and Data for Scientific Computing, September 2018.
Jagode, H., J. Dongarra, S. Alam, J. Vetter, W.. Spear, and A. D. Malony, “A Holistic Approach for Performance Measurement and Analysis for Petascale Applications,” ICCS 2009 Joint Workshop: Tools for Program Development and Analysis in Computational Science and Software Engineering for Large-Scale Computing, vol. 2009, Baton Rouge, Louisiana, Springer-Verlag Berlin Heidelberg 2009, pp. 686-695, May 2009.  (3.96 MB)
Jagode, H., A. Danalis, and J. Dongarra, “Accelerating NWChem Coupled Cluster through dataflow-based Execution,” The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 540--551, July 2018.  (1.68 MB)
Jagode, H., A. Danalis, H. Anzt, and J. Dongarra, “PAPI Software-Defined Events for in-Depth Performance Analysis,” The International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1113-1127, November 2019.  (442.39 KB)
Jagode, H., and J. Hein, “Custom assignment of MPI ranks for parallel multi-dimensional FFTs: Evaluation of BG/P versus BG/L,” Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-08), Sydney, Australia, IEEE Computer Society, pp. 271-283, January 2008.  (2.6 MB)
Jagode, H., A. Danalis, R. Hoque, M. Faverge, and J. Dongarra, “Evaluation of Dataflow Programming Models for Electronic Structure Theory,” Concurrency and Computation: Practice and Experience: Special Issue on Parallel and Distributed Algorithms, vol. 2018, issue e4490, pp. 1–20, May 2018.  (1.69 MB)
Jagode, H., A. Danalis, and J. Dongarra, “Accelerating NWChem Coupled Cluster through Dataflow-Based Execution,” The International Journal of High Performance Computing Applications, pp. 1–13, January 2017.  (4.07 MB)
Jeannot, E., K. Seymour, A. YarKhan, and J. Dongarra, “Improved Runtime and Transfer Time Prediction Mechanisms in a Network Enabled Servers Middleware,” Parallel Processing Letters, vol. 17, no. 1, pp. 47-59, March 2007.  (718.4 KB)
Jeannot, E., K. Seymour, A. YarKhan, and J. Dongarra, “Improved Runtime and Transfer Time Prediction Mechanisms in a Network Enabled Server,” Parallel Processing Letters, vol. 17, no. 1, pp. 47-59, March 2006.  (718.4 KB)
Jia, Y., P. Luszczek, and J. Dongarra, “Hessenberg Reduction with Transient Error Resilience on GPU-Based Hybrid Architectures,” 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.  (535.72 KB)
Jia, Y., P. Luszczek, and J. Dongarra, “Transient Error Resilient Hessenberg Reduction on GPU-based Hybrid Architectures,” UT-CS-13-712: University of Tennessee Computer Science Technical Report, June 2013.  (206.42 KB)
Jia, Y., G. Bosilca, P. Luszczek, and J. Dongarra, “Parallel Reduction to Hessenberg Form with Algorithm-Based Fault Tolerance,” International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE-SC 2013, Denver, CO, November 2013.  (147.09 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)
Johnson, M., H. McCraw, S. Moore, P. Mucci, J. Nelson, D. Terpstra, V. M. Weaver, and T. Mohan, “PAPI-V: Performance Monitoring for Virtual Machines,” CloudTech-HPC 2012, Pittsburgh, PA, September 2012.  (2.69 MB)
Jones, W. B., G. Bester, A. Canning, A. Franceschetti, P. A. Graf, K. Kim, J. Langou, L-W. Wang, J. Dongarra, and A. Zunger, “NanoPSE: A Nanoscience Problem Solving Environment for Atomistic Electronic Structure of Semiconductor Nanostructures,” Journal of Physics: Conference Series, issue 16, pp. 277-282, June 2005.  (476.64 KB)
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Kabir, K., A. Haidar, S. Tomov, and J. Dongarra, “Performance Analysis and Design of a Hessenberg Reduction using Stabilized Blocked Elementary Transformations for New Architectures,” The Spring Simulation Multi-Conference 2015 (SpringSim'15), Best Paper Award, Alexandria, VA, April 2015.  (608.44 KB)
Kabir, K., A. Haidar, S. Tomov, A. Bouteiller, and J. Dongarra, “A Framework for Out of Memory SVD Algorithms,” ISC High Performance 2017, pp. 158–178, June 2017.  (393.22 KB)
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)
Kabir, K., A. Haidar, S. Tomov, and J. Dongarra, “Performance Analysis and Optimization of Two-Sided Factorization Algorithms for Heterogeneous Platform,” International Conference on Computational Science (ICCS 2015), Reykjavík, Iceland, June 2015.  (1.12 MB)
Kashi, A., P. Nayak, D. Kulkarni, A. Scheinberg, P. Lin, and H. Anzt, “Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations,” 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Lyon, France, IEEE, July 2022.  (1.26 MB)
Kasichayanula, K., H. You, S. Moore, S. Tomov, H. Jagode, and M. Johnson, Power-aware Computing on GPGPUs , Gatlinburg, TN, Fall Creek Falls Conference, Poster, September 2011.  (2.89 MB)
Kasichayanula, K., D. Terpstra, P. Luszczek, S. Tomov, S. Moore, and G. D. Peterson, “Power Aware Computing on GPUs,” SAAHPC '12 (Best Paper Award), Argonne, IL, July 2012.  (658.06 KB)
Kaya, O., and Y. Robert, “Computing Dense Tensor Decompositions with Optimal Dimension Trees,” Algorithmica, vol. 81, issue 5, pp. 2092–2121, May 2019.  (638.4 KB)
Kelleher, Jr., M., “Development of the PICMSS NetSolve Service,” ICL Technical Report, no. ICL-UT-02-04, April 2002.  (328.44 KB)
“Recent Advances in the Message Passing Interface, Lecture Notes in Computer Science (LNCS),” EuroMPI 2010 Proceedings, vol. 6305, Stuttgart, Germany, Springer, September 2010.
Keller, R., G. Bosilca, G. Fagg, M. Resch, and J. Dongarra, “Implementation and Usage of the PERUSE-Interface in Open MPI,” Euro PVM/MPI 2006, Bonn, Germany, September 2006.  (310.76 KB)
Kennedy, K., J. Mellor-Crummey, K. Cooper, L. Torczon, F. Berman, A. Chien, D. Angulo, I. Foster, D. Gannon, L. Johnsson, et al., “Toward a Framework for Preparing and Executing Adaptive Grid Programs,” International Parallel and Distributed Processing Symposium: IPDPS 2002 Workshops, Fort Lauderdale, FL, pp. 0171, April 2002.  (64.5 KB)
Kennedy, K., B. Broom, K. Cooper, J. Dongarra, R. Fowler, D. Gannon, L. Johnsson, J. Mellor-Crummey, and L. Torczon, “Telescoping Languages: A Strategy for Automatic Generation of Scientific Problem-Solving Systems from Annotated Libraries,” Journal of Parallel and Distributed Computing, vol. 61, no. 12, pp. 1803-1826, December 2001.  (386.37 KB)
Kolev, T., P. Fischer, A. Abdelfattah, S. Ananthan, V. Barra, N. Beams, R. Bleile, J. Brown, R. Carson, J-S. Camier, et al., “CEED ECP Milestone Report: Improve Performance and Capabilities of CEED-Enabled ECP Applications on Summit/Sierra,” ECP Milestone Reports: Zenodo, May 2020.  (28.12 MB)
Kolev, T., P. Fischer, M. Min, J. Dongarra, J. Brown, V. Dobrev, T. Warburton, S. Tomov, M. S. Shephard, A. Abdelfattah, et al., “Efficient exascale discretizations: High-order finite element methods,” The International Journal of High Performance Computing Applications, pp. 10943420211020803, 2021.
Kovalchuk, S. V., V. V. Krzhizhanovskaya, M. Paszyński, D. Kranzlmüller, J. Dongarra, and P. M. A. Sloot, “Computational science for a better future,” Journal of Computational Science, vol. 62, pp. 101745, July 2022.

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