Zobrazeno 1 - 5
of 5
pro vyhledávání: '"George Chatzikonstantis"'
Autor:
Alexandros Neofytou, Ioannis Magkanaris, George Smaragdos, Dimitrios Soudris, Christos Strydis, George Chatzikonstantis
Publikováno v:
Proceedings-2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019, 339-343
STARTPAGE=339;ENDPAGE=343;TITLE=Proceedings-2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
BIBE
2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)
IEEE Symposium on Bioinformatics and Bioengineering (BIBE)
STARTPAGE=339;ENDPAGE=343;TITLE=Proceedings-2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
BIBE
2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)
IEEE Symposium on Bioinformatics and Bioengineering (BIBE)
Detailed brain modeling has been presenting significant challenges to the world of high-performance computing (HPC), posing computational problems that can benefit from modern hardware-acceleration technologies. We explore the capacity of GPUs for si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a407a09a7319b8553b32e7b0dabed219
https://zenodo.org/record/3716318
https://zenodo.org/record/3716318
Autor:
George Chatzikonstantis, Dimitrios Rodopoulos, Christos Strydis, Chris I. De Zeeuw, Dimitrios Soudris
Publikováno v:
IEEE Transactions on Parallel and Distributioned Systems, 28(9), 2581-2594. IEEE Computer Society
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
Brain modeling has been receiving significant attention over the years, both for its neuroscientific potential and for its challenges in the context of high-performance computing. The development of physiologically plausible neuron models comes at th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bac7c9fff8aa19c902a0bdac0a82e7f
https://pure.eur.nl/en/publications/51d6de33-3d1f-4fbd-a5e5-d4d61ed47913
https://pure.eur.nl/en/publications/51d6de33-3d1f-4fbd-a5e5-d4d61ed47913
Publikováno v:
DASIP
2018 CONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL AND IMAGE PROCESSING (DASIP), 70-75
STARTPAGE=70;ENDPAGE=75;TITLE=2018 CONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL AND IMAGE PROCESSING (DASIP)
2018 CONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL AND IMAGE PROCESSING (DASIP), 70-75
STARTPAGE=70;ENDPAGE=75;TITLE=2018 CONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL AND IMAGE PROCESSING (DASIP)
Emerging cloud applications like machine learning, AI, big data analytics and scientific computing require highperformance computing systems that can sustain the increased amount of data processing without consuming excessive power. To this end, many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8491e38d63de6071baaf3ce15ff37d15
https://doi.org/10.1109/dasip.2018.8597119
https://doi.org/10.1109/dasip.2018.8597119
Autor:
Chris I. De Zeeuw, Sofia Nomikou, Dimitrios Soudris, Dimitrios Rodopoulos, Christos Strydis, George Chatzikonstantis
Publikováno v:
Conf. Computing Frontiers
Proceedings of the ACM International Conference on Computing Frontiers
Proceedings of the ACM International Conference on Computing Frontiers-CF '16
Proceedings of the ACM International Conference on Computing Frontiers-CF 16
2016 ACM International Conference on Computing Frontiers-Proceedings, 361-364
STARTPAGE=361;ENDPAGE=364;TITLE=2016 ACM International Conference on Computing Frontiers-Proceedings
Proceedings of the ACM International Conference on Computing Frontiers
Proceedings of the ACM International Conference on Computing Frontiers-CF '16
Proceedings of the ACM International Conference on Computing Frontiers-CF 16
2016 ACM International Conference on Computing Frontiers-Proceedings, 361-364
STARTPAGE=361;ENDPAGE=364;TITLE=2016 ACM International Conference on Computing Frontiers-Proceedings
The development of physiologically plausible neuron models comes with increased complexity, which poses a challenge for many-core computing. In this work, we have chosen an extension of the demanding Hodgkin-Huxley model for the neurons of the Inferi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::add39906a9e3f9bf745b865488e24f4e
https://doi.org/10.1145/2903150.2903477
https://doi.org/10.1145/2903150.2903477
Autor:
Panagiotis Skordilakis, George Chatzikonstantis, Georgios Georgis, George Lentaris, Konstantinos Tsakalis, Ashfaque Bin Shafique, Dionysios Reisis
Publikováno v:
ICSAMOS
Research on the prevention of epileptic seizures has led to approaches for future treatment techniques, which rely on the demanding computation of generalized partial directed coherence (GPDC) on electroencephalogram (EEG) data. A fast computation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::513a114ba6f82aafb23a5739665dba1f
https://doi.org/10.1109/samos.2014.6893234
https://doi.org/10.1109/samos.2014.6893234