activity
20212024
most citedEvaluating Versal AI Engines for option price discovery in market risk analysis

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2024★ 5 cited

Evaluating Versal AI Engines for option price discovery in market risk analysis

Mark Klaisoongnoen, Nick Brown, Tim Dykes +2

Whilst Field-Programmable Gate Arrays (FPGAs) have been popular in accelerating high-frequency financial workload for many years, their application in quantitative finance, the uti…

cs.DC2023

Morpheus unleashed: Fast cross-platform SpMV on emerging architectures

Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus +2

Sparse matrices and linear algebra are at the heart of scientific simulations. Over the years, more than 70 sparse matrix storage formats have been developed, targeting a wide rang…

cs.DC2022★ 3 cited

Fast and energy-efficient derivatives risk analysis: Streaming option Greeks on Xilinx and Intel FPGAs

Mark Klaisoongnoen, Nick Brown, Oliver Brown

Whilst FPGAs have enjoyed success in accelerating high-frequency financial workloads for some time, their use for quantitative finance, which is the use of mathematical models to a…

cs.DC2022★ 1 cited

Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs

Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown

Quantitative finance is the use of mathematical models to analyse financial markets and securities. Typically requiring significant amounts of computation, an important question is…

cs.DC2021

Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques

Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown

Quantitative finance is the use of mathematical models to analyse financial markets and securities. Typically requiring significant amounts of computation, an important question is…