Advertisement

Introduction

  • Art Sedighi
  • Milton Smith
Chapter

Abstract

While some industries use High Performance Computing (HPC) to increase profits, other industries require HPC to do business at all. In the oil and gas industries, HPC is used to conduct seismic simulations. In the pharmaceutical industry, HPC is used to discover new drugs.

Keywords

HPC High performance computing Scheduling system Scheduler Risk calculation Financial market risk BASEL Monte Carlo simulation MCS Scientific management Cloud computing Task Priority Load Fairness Kay Lauder Starvation Equality Long-term equality Short-term fairness Multi-criteria scheduling Class A Class B Class C Class D Fairshare Poison distribution Least well-off user Rawlsian John Rawls dSim Simulation Performance characteristics 

References

  1. M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R. Katz, A. Konwinski, et al., A view of cloud computing. Commun. ACM. 53(4), 50–58 (2010)CrossRefGoogle Scholar
  2. K.R. Baker, D. Trietsch, Principles of sequencing and scheduling (Wiley, New Jersey, 2013)zbMATHGoogle Scholar
  3. D. Bertsimas, V.F. Farias, N. Trichakis, The price of fairness. Oper. Res. 59(1), 17–31 (2011)MathSciNetCrossRefGoogle Scholar
  4. B. Committee, Basel III: A global regulatory framework for more resilient banks and banking systems (Basel Committee on Banking Supervision, Basel, 2010)Google Scholar
  5. A. Demirguc-Kunt, E. Detragiache, O. Merrouche, Bank capital: Lessons from the financial crisis. J. Money. Credit. Bank. 45(6), 1147–1164 (2013)CrossRefGoogle Scholar
  6. P. Glasserman, P. Heidelberger, P. Shahabuddin, Efficient monte carlo methods for value-at-risk, (2010)Google Scholar
  7. S. Gleeson, International regulation of banking: Basel II, capital and risk requirements (Oxford University Press Catalogue, Oxford, 2010)Google Scholar
  8. H. Hakenes, I. Schnabel, Bank size and risk-taking under Basel II. J. Bank. Financ. 35(6), 1436–1449 (2011)CrossRefGoogle Scholar
  9. M. Harchol-Balter, Performance modeling and design of computer systems: Queueing theory in action (Cambridge University Press, Cambridge, 2013)zbMATHGoogle Scholar
  10. H. Hoogeveen, Multicriteria scheduling. Eur. J. Oper. Res. 167(3), 592–623 (2005)MathSciNetCrossRefGoogle Scholar
  11. J. Kay, P. Lauder, A fair share scheduler. Commun. ACM. 31(1), 44–55 (1988)CrossRefGoogle Scholar
  12. S. D. Kleban, S. H. Clearwater, Fair share on high performance computing systems: What does fair really mean? Paper presented at the Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on (2003)Google Scholar
  13. S. Marston, Z. Li, S. Bandyopadhyay, J. Zhang, A. Ghalsasi, Cloud computing—The business perspective. Decis. Support. Syst. 51(1), 176–189 (2011)CrossRefGoogle Scholar
  14. R. G. Parker, Deterministic scheduling theory. (CRC Press, 1996)Google Scholar
  15. C. Reyes, K. Walters, W. Yang, Monte carlo within a day. Paper presented at the quantitative analysis in financial markets: Collected papers of the New York university mathematical finance seminar (2001)Google Scholar
  16. A. Sedighi, Y. Deng, P. Zhang, Fariness of task scheduling in high performance computing environments. Scalable Computing: Pract. Experience 15(3), 273–285 (2014).  https://doi.org/10.12694/scpe.v15i3.1020CrossRefGoogle Scholar
  17. V. T’kindt, J.-C. Billaut, Multicriteria scheduling: theory, models and algorithms (Springer Science & Business Media, Berlin, Heidelberg, 2006)zbMATHGoogle Scholar
  18. D.K. Tarullo, Banking on Basel: The future of international financial regulation (Peterson Institute, Washington, D.C., 2008)Google Scholar
  19. F. W. Taylor The principles of scientific management (1911)Google Scholar
  20. S. Tezuka, H. Murata, S. Tanaka, S. Yumae, Monte Carlo grid for financial risk management. Futur. Gener. Comput. Syst. 21(5), 811–821 (2005)CrossRefGoogle Scholar
  21. M.R. Weisbord, Productive workplaces revisited: Dignity, meaning, and community in the 21st century (Wiley, Hoboken, 2004)Google Scholar
  22. L.H. White, How did we get into this financial mess? (CATO Institue Briefing Papers, Washington, D.C., 2008)Google Scholar
  23. L. H. White, Housing finance and the 2008 financial crisis. CATO Institute (2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Art Sedighi
    • 1
  • Milton Smith
    • 1
  1. 1.Industrial, Manufacturing & Systems EngineeringTexas Tech UniversityLubbockUSA

Personalised recommendations