User talk:CProvat

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Welcome![edit]

Hello, CProvat, and welcome to Wikipedia! Thank you for your contributions. I hope you like the place and decide to stay. Here are some pages that you might find helpful:

I hope you enjoy editing here and being a Wikipedian! Please sign your messages on talk pages using four tildes (~~~~); this will automatically insert your username and the date. If you need help, check out Wikipedia:Questions, ask me on my talk page, or ask your question on this page and then place {{help me}} before the question. Again, welcome! RJFJR (talk) 16:11, 2 August 2012 (UTC)[reply]

Conflict of interest[edit]

Information icon Hello, CProvat. We welcome your contributions to Wikipedia, but if you are affiliated with some of the people, places or things you have written about in the article Gyroscope, you may have a conflict of interest or close connection to the subject.

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For information on how to contribute to Wikipedia when you have a conflict of interest, please see our frequently asked questions for organizations. Thank you. -AndrewDressel (talk) 16:59, 29 July 2013 (UTC)[reply]

February 2019[edit]

Warning icon Please stop your disruptive editing. If you continue to add promotional or advertising material to Wikipedia, you may be blocked from editing. DMacks (talk) 04:00, 27 February 2019 (UTC)[reply]

See in particular WP:REFSPAM and the "Conflict of Interest" warning higher up on this talkpage. DMacks (talk) 04:00, 27 February 2019 (UTC)[reply]

April 2024[edit]

Information icon Hello. Your recent edit appears to have added the name of a non-notable entity to a list that normally includes only notable entries. In general, a person, organization or product added to a list should have a pre-existing article before being added to most lists. If you wish to create such an article, please first confirm that the subject qualifies for a separate, stand-alone article according to Wikipedia's notability guideline. Thank you. MrOllie (talk) 17:29, 18 April 2024 (UTC)[reply]

Dear Sir (MrOllie),
I am one of the experts, with a PhD in Computer Methods, (in which the finite element method belongs). It is a pity that I see other programs of much less value than PERMAS in your valuable Wikipedia's webside. I met PERMAS for the first time in 1990, and made an excellent impression to me. It is many years that I use it for educational and research purposes. The company is a spin-off that came from the University of Stuttgart, in which Professor John Argyris (the 'father' of the FEM in UK and Germany) was the director of the Centre of Computer Methods and also the Editor-in-Chief of the famous journal "Computer methods for applied mechanics and engineering".
If scientific papers have to be inserted (I do not have experience to do it), I propose at least two of them as follows:
1) Ast, M., Labarta, J., Manz, H., Perez, A., Schulz, U., Solé, J. (1995). A general approach for an automatic parallelization applied to the finite element code PERMAS. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046724
2) M. Ast, R. Fischer, J. Labarta, H. Manz,
Run-time parallelization of large FEM analyses with PERMAS,
Advances in Engineering Software,
Volume 29, Issues 3–6,
1998,
Pages 241-248,
ISSN 0965-9978,
https://doi.org/10.1016/S0965-9978(98)00010-6.
(https://www.sciencedirect.com/science/article/pii/S0965997898000106)
Abstract: The general purpose finite element (FE) system PERMAS[1]has been extended to support shared and distributed parallel computer architectures as well as workstation clusters. The methods used to parallelize this large application software package are of high generality and have the capability to parallelize all mathematical operations in a FE analysis—not only the solver. Utilizing the existing hyper-matrix data structure for large, sparsely populated matrices, a programming tool called PTM was introduced that automatically parallelizes block matrix operations on-the-fly. PTM totally hides parallelization from higher order algorithms, thus giving the physically oriented expert a virtually sequential programming environment. An operation graph of sub-matrix operations is asynchronously built and executed. A clustering algorithm distributes the work, performing a dynamic load balancing and exploiting data locality. Furthermore, a distributed data management system allows free data access from each node. The generality of the approach is demonstrated by some benchmark examples dealing with different types of FE analyses.
Keywords: Finite element analysis; PERMAS; run-time parallelization; dynamic task graph; hyper-matrix CProvat (talk) 17:55, 18 April 2024 (UTC)[reply]