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.
| Original language | English |
|---|---|
| Article number | 8082139 |
| Pages (from-to) | 512-526 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Parallel and Distributed Systems |
| Volume | 29 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 Mar 2018 |
| Externally published | Yes |
Keywords
- Argobots
- I/O
- MPI
- OpenMP
- context switch
- interoperability
- lightweight
- stackable scheduler
- tasklet
- user-level thread
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