prikaz prve stranice dokumenta System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers
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doctoral thesis
System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers

Dragić, Leon
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

Dragić, L. (2019). System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:198242

Dragić, Leon. "System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:198242

Dragić, Leon. "System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:198242

Dragić, L. (2019). 'System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 March 2024, https://urn.nsk.hr/urn:nbn:hr:168:198242

Dragić L. System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 March 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:198242

L. Dragić, "System architectures for just-in-time video transcoding mode decision on heterogeneous high performance computers", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:198242

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