Combining Multitask and Transfer Learning with Deep Gaussian Processes for Autotuning-Based Performance Engineering, Luszczek, P., W. M. Sid-Lakhdar, and J. Dongarra, The International Journal of High Performance Computing Applications, March 2023. doi.org/10.1177/1094342023116636

A pdf version is available.

An Introduction to High Performance Computing and its Intersection with Advances in Modeling REEs and Actinides, Deborah A. Penchoff, Edward Valeev, Heike Jagode, Piotr Luszczek, Anthony Danalis, George Bosilca, Robert J. Harrison, Jack Dongarra, Theresa L. Windus American Chemical Society.  “Computational Science for Lanthanides and Actinides” DOI: 10.1021/bk-2021-1388.ch001

A pdf version is available.

Using Additive Modifications in LU Factorization Instead of Pivoting, Lindquist, N., P. Luszczek, and J. Dongarra, 37th ACM International Conference on Supercomputing (ICS'23), Orlando, FL, ACM, June 2023. https://doi.org/10.1145/3577193.3593731

A pdf version is available.

Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers, Abdelfattah, A., P. Ghysels, W. Boukaram, S. Tomov, X. Sherry Li, and J. Dongarra, 2022 International Conference for High Performance Computing, Networking, Storage and Analysis (SC22), Dallas, TX, IEEE Computer Society, pp. 354-367, November 2022.

A pdf version is available.

Randomized numerical linear algebra: A perspective on the field with an eye to software, Riley Murray, James Demmel, Michael W Mahoney, N Benjamin Erichson, Maksim Melnichenko, Osman Asif Malik, Laura Grigori, Piotr Luszczek, Michał Dereziński, Miles E Lopes, Tianyu Liang, Hengrui Luo, Jack Dongarra, 2023/2/22, arXiv preprint arXiv:2302.11474

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Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications, Cao, Qinglei and Abdulah, Sameh and Alomairy, Rabab and Pei, Yu and Nag, Pratik and Bosilca, George and Dongarra, Jack and Genton, Marc G. and Keyes, David E. and Ltaief, Hatem and Sun, Yin, SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, 2022, pp. 1-12, doi: 10.1109/SC41404.2022.00007.

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Proposed Consistent Exception Handling for the BLAS and LAPACK, Demmel, James and Dongarra, Jack and Gates, Mark and Henry, Greg and Langou, Julien and Li, Xiaoye and Luszczek, Piotr and Pereira, Weslley and Riedy, Jason and Rubio-González, Cindy

2022 IEEE/ACM Sixth International Workshop on Software Correctness for HPC Applications (Correctness), Dallas, TX, USA, 2022, pp. 1-9, doi: 10.1109/Correctness56720.2022.00006.

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Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices, Y. M. Tsai, P. Luszczek and J. Dongarra, ," 2022 IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH), Dallas, TX, USA, 2022, pp. 43-50, doi: 10.1109/ScalAH56622.2022.00011.

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Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era, Gates, Mark and YarKhan, Asim and Sukkari, Dalal and Akbudak, Kadir and Cayrols, Sebastien and Bielich, Daniel and Abdelfattah, Ahmad and Farhan, Mohammed Al and Dongarra, Jack, 2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC), Dallas, TX, USA, 2022, pp. 36-46, doi: 10.1109/P3HPC56579.2022.00009.

A pdf version is available.

Can the United States Maintain Its Leadership in High-Performance Computing? Dongarra, Deelman, et al, A report from the ASCAC Subcommittee on American Competitiveness and Innovation to the ASCR office, https://doi.org/10.2172/1989107

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Memory Traffic and Complete Application Profiling with PAPI Multi-Component Measurements, Barry, D., H. Jagode, A. Danalis, and J. Dongarra, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), St. Petersburg, Florida, IEEE, 2023. DOI:10.1109/IPDPSW59300.2023.00070

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A Not So Simple Matter of Software; The Evolution of Mathematical Software: Software and Algorithms Follow the Hardware, Jack Dongarra, Accepted in CACM, August 2, 2022.

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HPC Forecast: Cloudy and Uncertain, Daniel Reed, Dennis Gannon, and Jack Dongarra, CACM accepted July 27, 2022.

A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization, Q. Cao, et al.,  in 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Lyon, France, 2022 pp. 414-424. doi: 10.1109/IPDPS53621.2022.00047

Batch QR Factorization on GPUs: Design, Optimization, and Tuning, Abdelfattah, A., S. Tomov, and J. Dongarra, ICCS 2022,  Lecture Notes in Computer Science, vol. 13350, Cham, Springer International Publishing, June 2022. DOI: 10.1007/978-3-031-08751-6_5

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Evaluating Data Redistribution in PaRSEC, Cao, Bosilca, Losad, Wu, Zhong, Dongarra, Transactions on Parallel and Distributed Systems, DOI: 10.1109/TPDS.2021.3131657

Using Long Vector Extensions for MPI Reductions, Dong Zhong, Qinglei Cao; George Bosilca; Jack Dongarra, Parallel Computing, Volume 109, March 2022. https://doi.org/10.1016/j.parco.2021.102871

Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC, Abdulah, S., Q. Cao, Y. Pei, G. Bosilca, J. Dongarra, M. G. Genton, D. E. Keyes, H. Ltaief, and Y. Sun, IEEE Transactions on Parallel and Distributed Systems, vol. 33, issue 4, pp. 964 - 976, April 2022. DOI: 10.1109/TPDS.2021.3084071

Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms, Bosilca, G., A. Bouteiller, T. Herault, V. Le Fèvre, Y. Robert, and J. Dongarra, International Journal of Networking and Computing, vol. 12, issue 1, pp. 26 - 46, January 2022. DOI: 10.15803/ijnc.12.1_26