Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Miloš Kotlar"'
Autor:
Zoran Babović, Branislav Bajat, Dusan Barac, Vesna Bengin, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Stephan French, Borko Furht, Marija Ilić, Ayhan Irfanoglu, Aleksandar Kartelj, Milan Kilibarda, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Jean-Marie Lehn, Dejan Madić, Marko Marinković, Miodrag Mateljević, Avi Mendelson, Fedor Mesinger, Gradimir Milovanović, Veljko Milutinović, Nenad Mitić, Aleksandar Nešković, Nataša Nešković, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Jelica Protić, Ivan Ratković, Diego Rios, Dan Shechtman, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-25 (2023)
Abstract This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number of other related fi
Externí odkaz:
https://doaj.org/article/07923dc0e30449e3b7f3575e73f2bb11
Autor:
Zoran Babović, Branislav Bajat, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Borko Furht, Nikola Gačić, Igor Ikodinović, Marija Ilić, Ayhan Irfanoglu, Branislav Jelenković, Aleksandar Kartelj, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Marko Marinković, Slobodan Marković, Avi Mendelson, Veljko Milutinović, Aleksandar Nešković, Nataša Nešković, Nenad Mitić, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Ivan Ratković, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasib
Externí odkaz:
https://doaj.org/article/5fc429a2f6b24396bfb370e39e6046ff
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
This article overviews the emerging use of deep neural networks in data analytics and explores which type of underlying hardware and architectural approach is best used in various deployment locations when implementing deep neural networks. The locat
Externí odkaz:
https://doaj.org/article/f8f88b3a9aa74c8ba37483d7caedba63
Publikováno v:
Advances in Systems Analysis, Software Engineering, and High Performance Computing ISBN: 9781799883500
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51fad1bccb840a0efab30b3fdda61fd1
https://doi.org/10.4018/978-1-7998-8350-0
https://doi.org/10.4018/978-1-7998-8350-0
Publikováno v:
Advances in Computers ISBN: 9780323988551
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dbae5c361f24307193a8ee422f2a969
https://doi.org/10.1016/bs.adcom.2021.11.011
https://doi.org/10.1016/bs.adcom.2021.11.011
Autor:
Veljko Milutinović, Miloš Kotlar, Jakob Salom, Saša Stojanović, Živojin Šuštran, Aleksandar Veljković, Jelena Marković, Ali R. Hurson
Publikováno v:
Advances in Computers ISBN: 9780323988551
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::571e86e36f0152d0d852e394cca9d824
https://doi.org/10.1016/bs.adcom.2022.01.001
https://doi.org/10.1016/bs.adcom.2022.01.001
This book explores the challenges of managing software projects, such as changing requirements, uncertain technologies, and evolving user needs, provides strategies for addressing these and other emerging issues, and contains a number of eye-opening
Autor:
Veljko Milutinović, Miloš Kotlar
As computers continue to remain essential tools for the pursuit of physics, medicine, economics, social sciences, and more, supercomputers are proving that they can further extend and greatly enhance as-of-yet undiscovered knowledge and solve the wor
Autor:
Veljko Milutinovic, Milos Kotlar
This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physic
Autor:
Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic
This illuminating text/reference reviews the fundamentals of programming for effective DataFlow computing. The DataFlow paradigm enables considerable increases in speed and reductions in power consumption for supercomputing processes, yet the program