TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests

Naorin Hossain, Caroline Trippel, Margaret Martonosi

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

Abstract

Memory consistency models (MCMs) specify the legal ordering and visibility of shared memory accesses in a parallel program. Traditionally, instruction set architecture (ISA) MCMs assume that relevant program-visible memory ordering behaviors only result from shared memory interactions that take place between user-level program instructions. This assumption fails to account for virtual memory (VM) implementations that may result in additional shared memory interactions between user-level program instructions and both 1) system-level operations (e.g., address remappings and translation lookaside buffer invalidations initiated by system calls) and 2) hardware-level operations (e.g., hardware page table walks and dirty bit updates) during a user-level program' s execution. These additional shared memory interactions can impact the observable memory ordering behaviors of user-level programs. Thus, memory transistency models (MTMs) have been coined as a superset of MCMs to additionally articulate VM-aware consistency rules. However, no prior work has enabled formal MTM specifications, nor methods to support their automated analysis. To fill the above gap, this paper presents the TransForm framework. First, TransForm features an axiomatic vocabulary for formally specifying MTMs. Second, TransForm includes a synthesis engine to support the automated generation of litmus tests enhanced with MTM features (i.e., enhanced litmus tests, or ELTs) when supplied with a TransForm MTM specification. As a case study, we formally define an estimated MTM for Intel x86 processors, called x86t-elt, that is based on observations made by an ELT-based evaluation of an Intel x86 MTM implementation from prior work and available public documentation [23], [29]. Given x86t-elt and a synthesis bound (on program size) as input, TransForm' s synthesis engine successfully produces a complete set of ELTs (within a 9-instruction bound) including relevant hand-curated ELTs from prior work, plus 100 more.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture, ISCA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages874-887
Number of pages14
ISBN (Electronic)9781728146614
DOIs
StatePublished - May 2020
Event47th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2020 - Virtual, Online, Spain
Duration: May 30 2020Jun 3 2020

Publication series

NameProceedings - International Symposium on Computer Architecture
Volume2020-May
ISSN (Print)1063-6897

Conference

Conference47th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2020
Country/TerritorySpain
CityVirtual, Online
Period5/30/206/3/20

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

Keywords

  • axiomatic modeling
  • enhanced litmus tests
  • memory consistency
  • memory transistency
  • synthesis

Fingerprint

Dive into the research topics of 'TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests'. Together they form a unique fingerprint.

Cite this