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.

A pdf version is available.

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

A pdf version is available.

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

Integrating Deep Learning in Domain Sciences at Exascale,

Rick Archibald, Edmond Chow, Eduardo D'Azevedo, Jack Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin, (2020). Integrating Deep Learning in Domain Sciences at Exascale. In: Nichols, J., Verastegui, B., Maccabe, A.‘., Hernandez, O., Parete-Koon, S., Ahearn, T. (eds) Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI. SMC 2020. Communications in Computer and Information Science, vol 1315. Springer, Cham. https://doi.org/10.1007/978-3-030-63393-6_3
A pdf version is available.

A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms, 

D. Sharp, M. Stoyanov, S. Tomov and J. Dongarra, 2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021, pp. 1-5, doi: 10.1109/HPEC49654.2021.9622811.

A pdf version is available.

Scalability Issues in FFT Computation, Ayala, A., Tomov, S., Stoyanov, M., Dongarra, J. (2021). In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2021. Lecture Notes in Computer Science(), vol 12942. Springer, Cham. https://doi.org/10.1007/978-3-030-86359-3_21

A pdf version is available.

Revisiting Credit Distribution Algorithms for Distributed Termination Detection, G. Bosilca, A. Bouteiller, T. Herault, V. Le Fèvre, Y. Robert and J. Dongarra, 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021, pp. 611-620, doi: 10.1109/IPDPSW52791.2021.00095.

Accelerating Multi-Process Communication for Parallel 3-D FFT, Ayala, A. , S. Tomov, M. Stoyanov, A. Haidar, J. Dongarra, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 21), St. Louis, MO, Nov 2021.

Accelerating FFT towards Exascale Computing, Ayala, A., S. Tomov, A. Haidar, M. Stoyanov, S. Cayrols, J. Li, G. Bosilca, and J. Dongarra,  NVIDIA GPU Technology Conference (GTC2021), Digital,  March 2021.
A pdf version is available.
 

Scalability Issues in FFT Computation, Ayala A., Tomov S., Stoyanov M., Dongarra J, PaCT 2021. Lecture Notes in Computer Science, Volume 12942, September 2021 

A pdf version is available.

Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems, Iqbal, Z., S. Nooshabadi, I. Yamazaki, S. Tomov, and J. Dongarra, IEEE Access, August 2021.
A pdf version is available. file:///Users/dongarra/Dropbox/stuff/Papers/totheweb-2022/papers.htm#2021

20 years of computational science: Selected papers from 2020 International Conference on Computational Science, Kovalchuk, Sergey V., Valeria V. Krzhizhanovskaya, P M. A. Sloot, Gábor Závodszky, Michael H Lees, M. Paszynski, and J. Dongarra, Journal of Computational Science, July 2021.
A pdf version is available.

Accelerating Restarted GMRES with Mixed Precision Arithmetic, Neil Lindquist, Piotr Luszczek, and Jack Dongarra, IEEE Transactions on Parallel and Distributed Computing, June 2021.
A pdf version is available.

A Set of Batched Basic Linear Algebra Subprograms, Abdelfattah, A., T. Costa, J. Dongarra, M. Gates, A. Haidar, S. Hammarling, N. J. Higham, J. Kurzak, P. Luszczek, S. Tomov, et al.,  ACM Transactions on Mathematical Software, accepted October 2020.
A pdf version is available.

Efficient Exascale Discretizations: High-Order Finite Element Methods, Kolev, Tzanio; Fischer, Paul; MIN, MISUN; Dongarra, Jack; Brown, Jed; Dobrev, Veselin; Warburton, Timothy; Tomov, Stanimire; Shephard, Mark; Abdelfattah, Ahmad; Barra, Valeria; Beams, Natalie; Camier, Jean-Sylvain; Chalmers, Noel; Dudouit, Yohann; Karakus, Ali; Karlin, Ian; Kerkemeier, Stefan; Lan, Yu-Hsiang; Medina, David; Merzari, Elia; Obabko, Aleksandr; Pazner, Will; Rathnayake, Thilina; Smith, Cameron; Spies, Lukas; Świrydowicz, Kasia; Thompson, Jeremy; Tomboulides, Ananias; Tomov, Vladimir, accepted in International Journal of High Performance Computing Applications, May 2021.

A PDF version is available.