Abstract
The reason to include a chapter with this content into this all-around Maxeler book was to show the wide audience, the audience that is still not familiar with dataflow programming paradigm, that there is help and that there is a whole library of tools and applications that can help a programmer in times of need. There are so many detailed source codes and many tools that can either be analyzed and easily changed or used as such, in new applications. Another reason for describing the items in the gallery is to present to the wider audience a good plethora of different cases Maxeler dataflow architecture can be used at. Next to each AppGallery item, there is a short description and applicable use of cases. Not all of the items are described. Some of them are skipped because they are differently and more in depth presented in Trifunovic et al. (J Big Data 3:4, 2016. Available at: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-015-0038-8) and some are omitted because their usage possibilities are too limited.
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References
Trifunovic et al., An AppGallery for dataow computing, J. Big Data, (2016), 3:4 Available at: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-015-0038-8
Korolija, Nenad et al., Accelerating Lattice-Boltzman Method Using the Maxeler DataFlow Approach, IPSI Bgd Transactions on Internet Research, Belgrade, July 2013, Vol. 9/2, pp 34–42.
Blagojevic, V., et al, “A Systematic Approach to Generation of New Ideas for PhD Research in Computing,” Advances in Computers, Elsevier, Vol. 104, 2016, pp. 1–19.
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Milutinovic, V., Salom, J., Veljovic, D., Korolija, N., Markovic, D., Petrovic, L. (2017). Maxeler AppGallery Revisited. In: DataFlow Supercomputing Essentials. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-66128-5_1
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DOI: https://doi.org/10.1007/978-3-319-66128-5_1
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