The Scalable Commutativity Rule: Designing Scalable Software for Multicore Processors.

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Title: The Scalable Commutativity Rule: Designing Scalable Software for Multicore Processors.
Authors: Clements, Austin T.1 (AUTHOR) aclements@csail.mit.edu, Kaashoek, M. Frans1 (AUTHOR) kaashoek@csail.mit.edu, Kohler, Eddie2 (AUTHOR) kohler@seas.harvard.edu, Morris, Robert T.1 (AUTHOR) rtm@csail.mit.edu, Zeldovich, Nickolai1 (AUTHOR) zeldovich@csail.mit.edu
Source: Communications of the ACM. Aug2017, Vol. 60 Issue 8, p83-90. 8p. 1 Diagram, 2 Graphs.
Subjects: Scalability, Computer software development, Multicore processors, Computer interfaces software, Computer interface standards
Abstract: Developing software that scales on multicore processors is an inexact science dominated by guesswork, measurement, and expensive cycles of redesign and reimplementation. Current approaches are workload-driven and, hence, can reveal scalability bottlenecks only for known workloads and available software and hardware. This paper introduces an interface-driven approach to building scalable software. This approach is based on the scalable commutativity rule, which, informally stated, says that whenever interface operations commute, they can be implemented in a way that scales. We formalize this rule and prove it correct for any machine on which conflict-free operations scale, such as current cache-coherent multicore machines. The rule also enables a better design process for scalable software: programmers can now reason about scalability from the earliest stages of interface definition through software design, implementation, and evaluation. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Developing software that scales on multicore processors is an inexact science dominated by guesswork, measurement, and expensive cycles of redesign and reimplementation. Current approaches are workload-driven and, hence, can reveal scalability bottlenecks only for known workloads and available software and hardware. This paper introduces an interface-driven approach to building scalable software. This approach is based on the scalable commutativity rule, which, informally stated, says that whenever interface operations commute, they can be implemented in a way that scales. We formalize this rule and prove it correct for any machine on which conflict-free operations scale, such as current cache-coherent multicore machines. The rule also enables a better design process for scalable software: programmers can now reason about scalability from the earliest stages of interface definition through software design, implementation, and evaluation. [ABSTRACT FROM AUTHOR]
ISSN:00010782
DOI:10.1145/3068914