Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Konstantin Bakanov"'
Publikováno v:
HPCS
Bakanov, K, Spence, I & Vandierendonck, H 2020, Stream-based representation and incremental optimization of technical market indicators . in International Conference on High Performance Computing & Simulation (HPCS) 2019: Proceedings . Institute of Electrical and Electronics Engineers Inc., pp. 833-841 . https://doi.org/10.1109/HPCS48598.2019.9188212
Bakanov, K, Spence, I & Vandierendonck, H 2020, Stream-based representation and incremental optimization of technical market indicators . in International Conference on High Performance Computing & Simulation (HPCS) 2019: Proceedings . Institute of Electrical and Electronics Engineers Inc., pp. 833-841 . https://doi.org/10.1109/HPCS48598.2019.9188212
Technical market indicators are used to measure the trends of financial markets. In practice they are conventionally expressed using a non-formal notation or a DSL specific to a certain development platform, which poorly correlates between individual
Autor:
Ioannis Papaefstathiou, Luciano Lavagno, Konstantinos Georgopoulos, Konstantin Bakanov, Iakovos Mavroidis
Publikováno v:
Hardware Accelerators in Data Centers ISBN: 9783319927916
Hardware Accelerators in Data Centers
Hardware Accelerators in Data Centers
In the effort for exascale performance, current High-Performance Computing (HPC) systems need to be improved. Simple hardware scaling is not a feasible solution due to the increasing utility costs and power consumption limitations. Hence, apart from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf3c5067ae7884ff2b196d94344ddd98
https://doi.org/10.1007/978-3-319-92792-3_11
https://doi.org/10.1007/978-3-319-92792-3_11
Publikováno v:
Bakanov, K, Spence, I, Vandierendonck, H & Gillan, C J 2014, ' Rigorous Specification and Low-Latency Implementation of Technical Market Indicators ', Paper presented at Parallel Programming for Analytics Applications 2014, Orlando, United States, 16/02/2014-16/02/2014 . https://doi.org/10.1145/2567634.2567636
PPAA@PPoPP
PPAA@PPoPP
Technical market indicators are tools used by technical an- alysts to understand trends in trading markets. Technical (market) indicators are often calculated in real-time, as trading progresses. This paper presents a mathematically- founded framewor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2025ac2f5000b867fd16c710b1c4f8b7
https://pure.qub.ac.uk/en/publications/rigorous-specification-and-lowlatency-implementation-of-technical-market-indicators(26d993b6-0fbf-40e1-8438-51ac9328bdf9).html
https://pure.qub.ac.uk/en/publications/rigorous-specification-and-lowlatency-implementation-of-technical-market-indicators(26d993b6-0fbf-40e1-8438-51ac9328bdf9).html
Publikováno v:
Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers
Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers-ROSS 16
Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers-ROSS '16
ROSS@HPDC
Harvey, P, Bakanov, K, Spence, I & Nikolopoulos, D S 2016, A Scalable Runtime for the ECOSCALE Heterogeneous Exascale Hardware Platform . in Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers . Association for Computing Machinery . https://doi.org/10.1145/2931088.2931090
Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers-ROSS 16
Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers-ROSS '16
ROSS@HPDC
Harvey, P, Bakanov, K, Spence, I & Nikolopoulos, D S 2016, A Scalable Runtime for the ECOSCALE Heterogeneous Exascale Hardware Platform . in Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers . Association for Computing Machinery . https://doi.org/10.1145/2931088.2931090
Exascale computation is the next target of high performance computing. In the push to create exascale computing platforms, simply increasing the number of hardware devices is not an acceptable option given the limitations of power consumption, heat d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47b15dc8054b00726a28ded739a0a81e