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

Author:

Klaisoongnoen Mark1,Brown Nick1,Brown Oliver Thomson1

Affiliation:

1. EPCC, The University of Edinburgh The Bayes Centre,Edinburgh,UK

Publisher

IEEE

Reference19 articles.

1. Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

2. I feel the need for speed

3. RAPL

4. STAC Report: STAC-A2 (derivatives risk) on 8x Alveo U250 FPGA cards in a BOXX GX8-M;STAC research audits,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluating Versal AI Engines for Option Price Discovery in Market Risk Analysis;Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays;2024-04

2. Stencil-HMLS: A multi-layered approach to the automatic optimisation of stencil codes on FPGA;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

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