The STAPL parallel container framework

Gabriel Tanase, Antal Buss, Adam Fidel, Harshvardhan, Ioannis Papadopoulos, Olga Pearce, Timmie Smith, Nathan Thomas, Xiabing Xu, Nedal Mourad, Jeremy Vu, Mauro Bianco, Nancy M. Amato, Lawrence Rauchwerger

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


The Standard Template Adaptive Parallel Library (STAPL) is a parallel programming infrastructure that extends C++ with support for parallelism. It includes a collection of distributed data structures called pContainers that are thread-safe, concurrent objects, i.e., shared objects that provide parallel methods that can be invoked concurrently. In this work, we present the STAPL Parallel Container Framework (PCF), that is designed to facilitate the development of generic parallel containers. We introduce a set of concepts and a methodology for assembling a pContainer from existing sequential or parallel containers, without requiring the programmer to deal with concurrency or data distribution issues. The PCF provides a large number of basic parallel data structures (e.g., pArray, pList, pVector, pMatrix, pGraph, pMap, pSet). The PCF provides a class hierarchy and a composition mechanism that allows users to extend and customize the current container base for improved application expressivity and performance. We evaluate STAPL pContainer performance on a CRAY XT4 massively parallel system and show that pContainer methods, generic pAlgorithms, and different applications provide good scalability on more than 16,000 processors.

Original languageEnglish (US)
Title of host publicationPPoPP'11 - Proceedings of the 2011 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Number of pages11
StatePublished - 2011
Externally publishedYes
Event16th ACM Symposium on Principles and Practice of Parallel Programming, PPoPP'11 - San Antonio, TX, United States
Duration: Feb 12 2011Feb 16 2011

Publication series

NameProceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP


Conference16th ACM Symposium on Principles and Practice of Parallel Programming, PPoPP'11
Country/TerritoryUnited States
CitySan Antonio, TX


  • Data
  • Languages
  • Libraries
  • Parallel
  • Programming
  • Structures

ASJC Scopus subject areas

  • Software


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