Ir directamente a la navegación principal Ir directamente a la búsqueda Ir directamente al contenido principal

Argobots: A Lightweight Low-Level Threading and Tasking Framework

  • Sangmin Seo
  • , Abdelhalim Amer
  • , Pavan Balaji
  • , Cyril Bordage
  • , George Bosilca
  • , Alex Brooks
  • , Philip Carns
  • , Adrian Castello
  • , Damien Genet
  • , Thomas Herault
  • , Shintaro Iwasaki
  • , Prateek Jindal
  • , Laxmikant V. Kale
  • , Sriram Krishnamoorthy
  • , Jonathan Lifflander
  • , Huiwei Lu
  • , Esteban Meneses
  • , Marc Snir
  • , Yanhua Sun
  • , Kenjiro Taura
  • Pete Beckman

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

95 Citas (Scopus)

Resumen

In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current state-of-the-art user-level threading and tasking models, however, either are too specific to applications or architectures or are not as powerful or flexible. In this paper, we present Argobots, a lightweight, low-level threading and tasking framework that is designed as a portable and performant substrate for high-level programming models or runtime systems. Argobots offers a carefully designed execution model that balances generality of functionality with providing a rich set of controls to allow specialization by end users or high-level programming models. We describe the design, implementation, and performance characterization of Argobots and present integrations with three high-level models: OpenMP, MPI, and colocated I/O services. Evaluations show that (1) Argobots, while providing richer capabilities, is competitive with existing simpler generic threading runtimes; (2) our OpenMP runtime offers more efficient interoperability capabilities than production OpenMP runtimes do; (3) when MPI interoperates with Argobots instead of Pthreads, it enjoys reduced synchronization costs and better latency-hiding capabilities; and (4) I/O services with Argobots reduce interference with colocated applications while achieving performance competitive with that of a Pthreads approach.

Idioma originalInglés
Número de artículo8082139
Páginas (desde-hasta)512-526
Número de páginas15
PublicaciónIEEE Transactions on Parallel and Distributed Systems
Volumen29
N.º3
DOI
EstadoPublicada - 1 mar 2018
Publicado de forma externa

Huella

Profundice en los temas de investigación de 'Argobots: A Lightweight Low-Level Threading and Tasking Framework'. En conjunto forman una huella única.

Citar esto