Analytic evaluation of shared-memory systems with ILP processors

Daniel J. Sorin, Vijay S. Pai, Sarita V Adve, Mary K. Vernon, David A. Wood

Research output: Contribution to journalArticlepeer-review

Abstract

This paper develops and validates an analytical model for evaluating various types of architectural alternatives for shared-memory systems with processors that aggressively exploit instruction-level parallelism. Compared to simulation, the analytical model is many orders of magnitude faster to solve, yielding highly accurate system performance estimates in seconds. The model input parameters characterize the ability of an application to exploit instruction-level parallelism as well as the interaction between the application and the memory system architecture. A trace-driven simulation methodology is developed that allows these parameters to be generated over 100 times faster than with a detailed execution-driven simulator. Finally, this paper shows that the analytical model can be used to gain insights into application performance and to evaluate architectural design trade-offs.

Original languageEnglish (US)
Pages (from-to)380-391
Number of pages12
JournalConference Proceedings - Annual International Symposium on Computer Architecture, ISCA
StatePublished - 1998
Externally publishedYes

ASJC Scopus subject areas

  • Hardware and Architecture

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