Research output: Contribution to journal › Conference article › peer-review
Optimization algorithm for computing options for the hybrid system. / Khmel, D. S.; Stepanov, E. A.; Bogdanov, A. V.
In: CEUR Workshop Proceedings, Vol. 1787, 2016, p. 289-294.Research output: Contribution to journal › Conference article › peer-review
}
TY - JOUR
T1 - Optimization algorithm for computing options for the hybrid system
AU - Khmel, D. S.
AU - Stepanov, E. A.
AU - Bogdanov, A. V.
N1 - Publisher Copyright: © 2016 Dmitry S. Khmel, Eduard A. Stepanov, Aleksandr V. Bogdanov. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - In the article the problem of optimization of GPGPU option pricing algorithms. The main goal to achieve maximum efficiency from the use of the hybrid system. The authors offered some transformation algorithm derived from Blake-Scholes model for pricing European and Asian option on the Monte Carlo method based on GPGPU architecture features. The basic idea is the constant optimization of work with one large array of data.
AB - In the article the problem of optimization of GPGPU option pricing algorithms. The main goal to achieve maximum efficiency from the use of the hybrid system. The authors offered some transformation algorithm derived from Blake-Scholes model for pricing European and Asian option on the Monte Carlo method based on GPGPU architecture features. The basic idea is the constant optimization of work with one large array of data.
KW - Asian option
KW - CUDA
KW - European option
KW - GPGPU
KW - Hybrid system
KW - Monte-Carlo method
UR - http://www.scopus.com/inward/record.url?scp=85016208189&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85016208189
VL - 1787
SP - 289
EP - 294
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
T2 - 7th International Conference Distributed Computing and Gridtechnologies in Science and Education, GRID 2016
Y2 - 4 July 2016 through 9 July 2016
ER -
ID: 77309162