International audienceEnergy efficiency of financial computations is a performance criterion that can no longer be dismissed, and is as crucial as raw acceleration and accuracy of the solution. In order to reduce the energy consumption of financial accelerators, FPGAs offer a good compromise with low power consumption and high parallelism. However, designing and prototyping an application on an FPGA-based platform are typically very time-consuming and requires significant skills in hardware design. This issue constitutes a major drawback with respect to software-centric acceleration platforms and approaches. A high-level approach has been chosen, using Altera’s implementation of the OpenCL standard, to answer this issue. We present two FPGA...
Abstract—The valuation of optimal exercise of American-style options is one of the most important pr...
This is the author’s version of a work that was accepted for publication in Journal of Systems Archi...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
International audienceEnergy efficiency of financial computations is a performance criterion that ca...
With the resurgence of hardware for financial technology, several methods for accelerating financial...
accelerate financial derivative calculations is becoming very common. In this work, we implement an ...
OpenCL has been proposed as a means of accelerating functional computation using FPGA and GPU accele...
Abstract—Today, pricing of derivates (particularly options) in financial institutions is a challenge...
In this paper we present an FPGA implementation of a Monte-Carlo method for pricing Asian Options us...
The need for resources in High Performance Computing (HPC) is generally met by scaling up server far...
Nowadays, we live in an era where high performance is in particular demand in a very broad variety o...
Reconfigurable computing involves the use of reconfigurable devices such as FPGAs (Field-Programmabl...
Abstract—Explicit finite difference method is widely used in finance for pricing many kinds of optio...
Summarization: Financial engineering is a very active research field as a result of the growth of th...
We present a novel parallel binomial algorithm to compute prices of American options. The algorithm ...
Abstract—The valuation of optimal exercise of American-style options is one of the most important pr...
This is the author’s version of a work that was accepted for publication in Journal of Systems Archi...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
International audienceEnergy efficiency of financial computations is a performance criterion that ca...
With the resurgence of hardware for financial technology, several methods for accelerating financial...
accelerate financial derivative calculations is becoming very common. In this work, we implement an ...
OpenCL has been proposed as a means of accelerating functional computation using FPGA and GPU accele...
Abstract—Today, pricing of derivates (particularly options) in financial institutions is a challenge...
In this paper we present an FPGA implementation of a Monte-Carlo method for pricing Asian Options us...
The need for resources in High Performance Computing (HPC) is generally met by scaling up server far...
Nowadays, we live in an era where high performance is in particular demand in a very broad variety o...
Reconfigurable computing involves the use of reconfigurable devices such as FPGAs (Field-Programmabl...
Abstract—Explicit finite difference method is widely used in finance for pricing many kinds of optio...
Summarization: Financial engineering is a very active research field as a result of the growth of th...
We present a novel parallel binomial algorithm to compute prices of American options. The algorithm ...
Abstract—The valuation of optimal exercise of American-style options is one of the most important pr...
This is the author’s version of a work that was accepted for publication in Journal of Systems Archi...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...