Asynchronous nested parallelism for dynamic applications in distributed memory

Ioannis Papadopoulos, Nathan Thomas, Adam Fidel, Dielli Hoxha, Nancy Marie Amato, Lawrence Rauchwerger

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


Nested parallelism is of increasing interest for both expressivity and performance. Many problems are naturally expressed with this divide-and-conquer software design approach. In addition, programmers with target architecture knowledge employ nested parallelism for performance, imposing a hierarchy in the application to increase locality and resource utilization, often at the cost of implementation complexity. While dynamic applications are a natural fit for the approach, support for nested parallelism in distributed systems is generally limited to well-structured applications engineered with distinct phases of intranode computation and inter-node communication. This model makes expressing irregular applications difficult and also hurts performance by introducing unnecessary latency and synchronizations. In this paper we describe an approach to asynchronous nested parallelism which provides uniform treatment of nested computation across distributed memory. This approach allows efficient execution while supporting dynamic applications which cannot be mapped onto the machine in the rigid manner of regular applications. We use several graph algorithms as examples to demonstrate our library’s expressivity, flexibility, and performance.

Original languageEnglish (US)
Title of host publicationLanguages and Compilers for Parallel Computing - 28th International Workshop, LCPC 2015, Revised Selected Papers
EditorsXipeng Shen, Frank Mueller, James Tuck
Number of pages16
ISBN (Print)9783319297774
StatePublished - 2016
Externally publishedYes
Event28th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2015 - Raleigh, United States
Duration: Sep 9 2015Sep 11 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference28th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2015
Country/TerritoryUnited States


  • Asynchronous
  • Dynamic applications
  • Graph
  • Isolation
  • Nested parallelism

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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