Powered by OpenAIRE graph
Found an issue? Give us feedback

Применение технологии CUDA для ускорения расчета цен опционов европейского типа сеточным методом

Применение технологии CUDA для ускорения расчета цен опционов европейского типа сеточным методом

Abstract

Дифференциальное уравнение Блэка—Шоулза решено численно по схеме Кранка—Николсона на графическом процессоре с применением технологии CUDA. Использование видеокарты NVIDIA GTX 580 позволило достичь ускорения более чем в 20 раз по сравнению с однопоточным расчетом на процессоре Intel Core i7 3,4 ГГц и в 2—3 раза по сравнению с наилучшими показателями многопоточной версии, основанной на технологии GCD на процессорах 2x Intel Xeon 3,06 ГГц с 24 ядрами. Результаты получены для нагрузочных параметров, представляющих практический интерес в системах алгоритмической торговли.

Crank—Nicolson scheme for Black–Scholes partial differential equation is fully implemented on graphics processor using CUDA technique. The developed code on GPU NVIDIA GTX 580 works more than 20 times faster than the single-threaded calculation on CPU Intel Core i7 3.4 GHz, and 2—3 times faster than the best results obtained with multi-thread version based on GCD technique on CPUs 2 x Intel Xeon 3.06 GHz with 24 cores in conditions typical for high-frequency algorithmic trading systems.

Keywords

CUDA,GPU ОБЩЕГО НАЗНАЧЕНИЯ,ПАРАЛЛЕЛЬНАЯ ЦИКЛИЧЕСКАЯ РЕДУКЦИЯ,PARALLEL CYCLIC REDUCTION,АЛГОРИТМИЧЕСКАЯ ТОРГОВЛЯ,ALGORITHMIC TRADING,ОПЦИОН,OPTION,СХЕМА КРАНКА—НИКОЛСОНА,CRANK—NICOLSON SCHEME,GPGPU,PCR,HIGH-FREQUENCY TRADING

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze