Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

A.K. Bahl, O. Baltzer, A. Rau-Chaplin, B. Varghese

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)
Original languageEnglish
Title of host publicationHigh Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Pages1176-1184
Number of pages9
DOIs
Publication statusPublished - 01 Nov 2012
Externally publishedYes

Keywords

  • C language
  • data analysis
  • graphics processing units
  • insurance data processing
  • parallel processing
  • risk analysis
  • PML
  • TVAR
  • aggregate XL
  • aggregate analysis
  • alternative HPC solution
  • cat excess-of-loss
  • catastrophic event risk
  • graphics processing unit
  • high performance computing
  • insurance company
  • many-core GPU
  • multicore CPU
  • parallel method
  • parallel simulation
  • per-occurrence XL
  • portfolio risk analysis
  • probable maximum loss
  • realtime pricing scenario
  • reinsurance company
  • stochastic simulation technique
  • tail value-at-risk
  • GPU computing
  • Monte Carlo simulation
  • aggregate risk analysis
  • parallel risk engine
  • risk management
  • risk analytics

Cite this

Bahl, A. K., Baltzer, O., Rau-Chaplin, A., & Varghese, B. (2012). Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk. In High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion: (pp. 1176-1184) https://doi.org/10.1109/SC.Companion.2012.142