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International Conference on Smart Computing and Communication

SmartCom 2019: Smart Computing and Communication pp 310–319Cite as

Computational Challenges and Opportunities in Financial Services

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11910))

Abstract

As one of the fastest growing areas of applied scientific computing, financial services uses high performance computing techniques to respond to both governmental regulatory bodies as well as to deal with a fast-paced business environment. Financial services industry is data driven and aims to resolve mathematical challenges to make sense out of data to solve complex problems in pricing, risk management, and portfolio optimization. These challenges are solved by financial institutions regularly, and the goal here is to provide a short survey of approaches and techniques used to solve these problems. Cloud is one of the areas of interest, since said challenges can benefit from the dynamicity and metered pricing of Cloud computing, plus being virtually limitless in scale. FPGA- and GPU-as-a-Service will also be explored as they are showing a great deal of benefit in solving such problems.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, 50011, USA

    Art Sedighi & Doug Jacobson

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  1. Art Sedighi
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  2. Doug Jacobson
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Correspondence to Art Sedighi or Doug Jacobson .

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Editors and Affiliations

  1. Columbia University, New York, NY, USA

    Meikang Qiu

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Sedighi, A., Jacobson, D. (2019). Computational Challenges and Opportunities in Financial Services. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2019. Lecture Notes in Computer Science(), vol 11910. Springer, Cham. https://doi.org/10.1007/978-3-030-34139-8_31

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  • DOI: https://doi.org/10.1007/978-3-030-34139-8_31

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