English

An Interrupt-Driven Work-Sharing For-Loop Scheduler

Distributed, Parallel, and Cluster Computing 2015-05-19 v2

Abstract

In this paper we present a parallel for-loop scheduler which is based on work-stealing principles but runs under a completely cooperative scheme. POSIX signals are used by idle threads to interrupt left-behind workers, which in turn decide what portion of their workload can be given to the requester. We call this scheme Interrupt-Driven Work-Sharing (IDWS). This article describes how IDWS works, how it can be integrated into any POSIX-compliant OpenMP implementation and how a user can manually replace OpenMP parallel for-loops with IDWS in existing POSIX-compliant C++ applications. Additionally, we measure its performance using both a synthetic benchmark with varying distributions of workload across the iteration space and a real-life application on Sandy Bridge and Xeon Phi systems. Regardless the workload distribution and the underlying hardware, IDWS is always the best or among the best-performing strategies, providing a good all-around solution to the scheduling-choice dilemma.

Keywords

Cite

@article{arxiv.1505.04134,
  title  = {An Interrupt-Driven Work-Sharing For-Loop Scheduler},
  author = {Georgios Rokos and Gerard J. Gorman and Paul H. J. Kelly},
  journal= {arXiv preprint arXiv:1505.04134},
  year   = {2015}
}
R2 v1 2026-06-22T09:35:07.708Z