Loading [a11y]/accessibility-menu.js
Argobots: A Lightweight Low-Level Threading and Tasking Framework | IEEE Journals & Magazine | IEEE Xplore

Argobots: A Lightweight Low-Level Threading and Tasking Framework


Abstract:

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, primari...Show More

Abstract:

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.
Published in: IEEE Transactions on Parallel and Distributed Systems ( Volume: 29, Issue: 3, 01 March 2018)
Page(s): 512 - 526
Date of Publication: 24 October 2017

ISSN Information:

Funding Agency:


Contact IEEE to Subscribe

References

References is not available for this document.