Technology of Real-World Analyzers (TAUR) and its practical application

• Autorzy: Jung J. , Kiełbik R. , Hałagan K. , Polanowski P. , Sikorski A.

Identyfikatory

DOI

10.12921/cmst.2020.0000023

• Języki publikacji: EN

Abstrakty

EN

The article describes the most important details of the project for reconfigurable construction of dedicated electronic machines intended for performing analyses of phenomena that occur in multi-component systems containing at least several million mutually interacting elements. Devices built in the presented technology can be characterized by the use of reconfigurable integrated circuits, spatial construction ensuring scalability, a redundant panel system as well as specially developed data transmission and work control systems. Machines work in a parallel manner and can solve problems in various fields of science and technology by competing with the speed of data processing with the latest supercomputing systems. As an example, we present details of the ARUZ machine containing 26,000 FPGAs, which was made using this technology.

Słowa kluczowe

EN

field programmable gate array; parallel data processing; Technology of Real-World Analyzers; molecular simulations; topology of the network connections

• Wydawca: Institute of Bioorganic Chemistry Scientific Publishers OWN, Polish Academy of Sciences
• Czasopismo: Computational Methods in Science and Technology
• Rocznik: 2020
• Tom: Vol. 26, No. 3
• Strony: 69--75
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Jung J.

• Department of Molecular Physics, Lodz University of Technology Żeromskiego 116, 90-924 Łódź, Poland

autor

Kiełbik R.

• Department of Electronics, Lodz University of Technology Żeromskiego 116, 90-924 Łódź, Poland

autor

Hałagan K.

• Department of Molecular Physics, Lodz University of Technology Żeromskiego 116, 90-924 Łódź, Poland

autor

Polanowski P.

• Department of Molecular Physics, Lodz University of Technology Żeromskiego 116, 90-924 Łódź, Poland

autor

Sikorski A.

• Department of Chemistry, University of Warsaw Pasteura 1, 02-093 Warsaw, Poland, phone: +(48 22) 552 6366

Bibliografia

• [1] P. Polanowski, J. Jung, R. Kiełbik, Special purpose parallel computer for modelling supramolecular systems based on the Dynamic Lattice Liquid model, Comput. Methods Sci. Technol. 16, 147–153 (2010).
• [2] P. Polanowski, J. Jung, R. Kiełbik, A. Napieralski, K. Lichy, Od algorytmu dynamicznej cieczy sieciowej do dedykowanego komputera równoległego, Przegląd Elektrotechniczny 84, 69–73 (2008).
• [3] J. Jung, R. Kiełbik, K. Rudnicki, P. Polanowski, Od algorytmu dynamicznej cieczy sieciowej do dedykowanego komputera równoległego II – maszyna mDLL, Przegląd Elektrotechniczny 93, 162–170 (2017).
• [4] J. Jung, P. Polanowski, R. Kiełbik, K. Hałagan, W. Zatorski, J. Ułański, A. Napieralski, T. Pakuła, (a) RP Patent No. 223795 (30 September 2013), (b) EP Patent No. EP3079071-A (10 April 2015), (c) RP Patent No. 227250 (30 September 2013), (d) RP Patent No. 227249 (30 September 2013), (e) EP Patent No. EP3079066 (10 April 2015), (f) EP Patent App. No. 151630795, (g) EP Patent App. EP15163078.7, (h) RP Patent App. No. P.411913.
• [5] J. Jung, R. Kiełbik, K. Rudnicki, K. Hałagan, P. Polanowski, A. Sikorski, From the Dynamic Lattice Liquid algorithm to the dedicated parallel computer – the mDLL Machine, Comput. Methods Sci. Technol. 24, 235–247 (2018).
• [6] P. Polanowski, Implementacja sieciowych modeli cieczy i polimerów w symulacjach opartych na obliczeniach równoległych, PhD thesis, Lodz University of Technology (2002).
• [7] T. Pakula, Simulations on the completely occupied lattice, [In:] Simulation Methods for Polymers, ed. by M. Kotelyanskii, D.N. Theodorou, Marcel Dekker, New York-Basel, 147–176 (2004).
• [8] R. Kiełbik, K. Hałagan, W. Zatorski, J. Jung, J. Ułański, A. Napieralski, K. Rudnicki, P. Amrozik, G. Jabłoński, D. Stożek, P. Polanowski, Z. Mudza, J. Kupis, P. Panek, ARUZ – Large-scale, massively parallel FPGA-based Analyzer of Real Complex Systems, Comput. Phys. Commun. 232, 22–34 (2018).
• [9] P. Polanowski, K. Hałagan, J. Pietrasik, J.K. Jeszka, K. Matyjaszewski, Growth of polymer brushes by “grafting from” via ATRP – Monte Carlo simulations, Polymer 130, 267–279 (2017).
• [10] K. Hałagan, M. Banaszak, J. Jung, P. Polanowski, A. Sikorski, Polymer double brushes studied by Dynamic Lattice Liquid model driven by high-performance computing, submitted to Macromolecules.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).