Residential Collegefalse
Status已發表Published
The Potential of RISC-V Platform in Financial Computing on Option Pricing and Energy Efficiency
Guoxiang Guo; Yuanyuan Qi; Minhao Zhu; Yang Wang; Jerome Yen
2024-01
Conference Name2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Conference Date01-04 October 2023
Conference PlaceHonolulu, Oahu, HI, USA
AbstractThe fifth version of the Reduced Instruction Set Computer (RISC-V) is a popular instruction set architecture (ISA) featured for low energy consumption. Currently, a growing number of industrial applications are based on RISC-V platforms, especially Internet of Things (IoT) devices. Those applications pursue low power and just sufficient computing capacity. However, low power consumption shall not be directly regarded as weak in computation. Recent advancement in RISC- V shows the potential for building a computing platform capable of handling tasks requiring considerable computing power. Traditional financial computing platforms are generally based on Complex Instruction Set Computers (CISC), like x86 platforms. As green computing is sweeping, it is meaningful to handle financial computing tasks with less energy consumption. To explore the potential of RISC- V in financial computing, we set up a typical financial computing task - American option implied volatility calculation, and examine the performance and power consumption of x86 and RISC-V platforms. The result shows that the RISC-V CPU is sufficient for some financial computing scenarios considering actual requirements. A heterogeneous computing system composed of x86 and RISC-V platforms could significantly improve energy efficiency.
KeywordRisc-v Implied Volatility Energy Efficiency Heterogeneous Computing
DOI10.1109/SMC53992.2023.10394561
Indexed ByEI
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorJerome Yen
Recommended Citation
GB/T 7714
Guoxiang Guo,Yuanyuan Qi,Minhao Zhu,et al. The Potential of RISC-V Platform in Financial Computing on Option Pricing and Energy Efficiency[C], 2024.
APA Guoxiang Guo., Yuanyuan Qi., Minhao Zhu., Yang Wang., & Jerome Yen (2024). The Potential of RISC-V Platform in Financial Computing on Option Pricing and Energy Efficiency. .
Files in This Item: Download All
File Name/Size Publications Version Access License
The_Potential_of_RIS(1388KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Guoxiang Guo]'s Articles
[Yuanyuan Qi]'s Articles
[Minhao Zhu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Guoxiang Guo]'s Articles
[Yuanyuan Qi]'s Articles
[Minhao Zhu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Guoxiang Guo]'s Articles
[Yuanyuan Qi]'s Articles
[Minhao Zhu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: The_Potential_of_RISC-V_Platform_in_Financial_Computing_on_Option_Pricing_and_Energy_Efficiency.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.