Parallel Ranking and Selection

Barry L Nelson, Susan R Hunter

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The Winter Simulation Conference serves as the initial publication venue for many advances in ranking and selection (R&S), including the recently developed R&S procedures that exploit high-performance parallel computing. We formulate a new stylized model for representing parallel R&S procedures, and we provide an overview of existing R&S procedures under the stylized model. We also discuss why designing R&S procedures for a parallel computing platform is nontrivial and speculate on the future of parallel R&S procedures. In this chapter, “parallel computing” means multiple processors that can execute distinct simulations independently, rather than vector or array processors designed to speed up vector-matrix calculations.
Original languageEnglish (US)
Title of host publicationAdvances in Modeling and Simulation
Subtitle of host publicationSeminal Research from 50 Years of Winter Simulation Conferences
EditorsAndreas Tolk, John Fowler, Guodong Shao, Enver Yücesan
PublisherSpringer International Publishing
Pages249-275
Number of pages27
ISBN (Print)978-3319641812
StatePublished - 2018

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    Nelson, B. L., & Hunter, S. R. (2018). Parallel Ranking and Selection. In A. Tolk, J. Fowler, G. Shao, & E. Yücesan (Eds.), Advances in Modeling and Simulation: Seminal Research from 50 Years of Winter Simulation Conferences (pp. 249-275). Springer International Publishing. https://doi.org/10.1007/978-3-319-64182-9_12