Rectangular Full Packed Format for Cholesky's Algorithm: Factorization, Solution and Inversion

Autor: Gustavson, Fred G., Wasniewski, Jerzy, Dongarra, Jack J., Langou, Julien

We describe a new data format for storing triangular, symmetric, and Hermitian matrices called RFPF (Rectangular Full Packed Format). The standard two dimensional arrays of Fortran and C (also known as full format) that are used to represent triangul

Externí odkaz: http://arxiv.org/abs/0901.1696

A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD

Autor: van Ments, L., Treur, J., Paszynski, Maciej, Kranzlmüller, Dieter, Krzhizhanovskaya, Valeria V., Dongarra, Jack J., Sloot, Peter M.A.

Publikováno v: van Ments, L & Treur, J 2021, A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD . in M Paszynski, D Kranzlmüller, V V Krzhizhanovskaya, J J Dongarra & P M A Sloot (eds), Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II . vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12743 LNCS, Springer Nature Switzerland AG, pp. 154-166, 21st International Conference on Computational Science, ICCS 2021, Virtual, Online, 16/06/21 . https://doi.org/10.1007/978-3-030-77964-1_13
Computational Science – ICCS 2021 ISBN: 9783030779634
ICCS (2)
Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II, 2, 154-166

In this paper, a second-order adaptive network model is introduced for a number of phenomena that occur in the context of PTSD. First of all the model covers simulation of the formation of a mental model of a traumatic course of events and its emotio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eadcf584284319124bc08d0b3a0a860
https://www.researchgate.net/publication/350159052

An adaptive computational network model for strange loops in political evolution in society

Autor: Anten, Julia, Earle, Jordan, Treur, Jan, Krzhizhanovskaya, Valeria V., Závodszky, Gábor, Lees, Michael H., Sloot, Peter M.A., Dongarra, Jack J., Brissos, Sérgio, Teixeira, João

Publikováno v: Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II, 2, 604-617
Anten, J, Earle, J & Treur, J 2020, An adaptive computational network model for strange loops in political evolution in society . in V V Krzhizhanovskaya, G Závodszky, M H Lees, P M A Sloot, P M A Sloot, P M A Sloot, J J Dongarra, S Brissos & J Teixeira (eds), Computational Science – ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II . vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12138 LNCS, Springer, pp. 604-617, 20th International Conference on Computational Science, ICCS 2020, Amsterdam, Netherlands, 3/06/20 . https://doi.org/10.1007/978-3-030-50417-5_45
Lecture Notes in Computer Science ISBN: 9783030504168
ICCS (2)

In this paper a multi-order adaptive temporal-causal network model is introduced to model political evolution. The computational network model makes use of Hofstadter’s notion of a Strange Loop and was tested and validated successfully to reflect p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53515ec0f77aa8e6f093f21929c690e5
http://www.scopus.com/inward/record.url?scp=85088214842&partnerID=8YFLogxK

Kernel-assisted and topology-aware MPI collective communications on multicore/many-core platforms

Autor: Ma, Teng, Bosilca, George, Bouteiller, Aurelien, Dongarra, Jack J.

Publikováno v: In Journal of Parallel and Distributed Computing July 2013 73(7):1000-1010

Simulation of Burnout Processes by a Multi-Order Adaptive Network Model

Autor: Weyland, L., Jelsma, W., Treur, J., Paszynski, Maciej, Kranzlmüller, Dieter, Krzhizhanovskaya, Valeria V., Dongarra, Jack J., Sloot, Peter M.A.

Publikováno v: Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III, 3, 514-527
Weyland, L, Jelsma, W & Treur, J 2021, Simulation of Burnout Processes by a Multi-Order Adaptive Network Model . in M Paszynski, D Kranzlmüller, V V Krzhizhanovskaya, J J Dongarra & P M A Sloot (eds), Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III . vol. 3, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12744 LNCS, Springer Nature Switzerland AG, pp. 514-527, 21st International Conference on Computational Science, ICCS 2021, Virtual, Online, 16/06/21 . https://doi.org/10.1007/978-3-030-77967-2_43
Vrije Universiteit Amsterdam
Computational Science – ICCS 2021 ISBN: 9783030779665
ICCS (3)

In this paper, an adaptive network model for the development of and recovery from burnout was designed and analysed. The current literature lacks adequate adaptive models to describe the processes involved in burnout. In this research, the informal c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82c22ac49e47a9ced0e412689e02945b
https://research.vu.nl/en/publications/ef8c432f-98f9-45da-9811-0c8d20f515ce