An Interrupt-Driven Work-Sharing For-Loop Scheduler
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- May 2015
- DOI:
- 10.48550/arXiv.1505.04134
- arXiv:
- arXiv:1505.04134
- Bibcode:
- 2015arXiv150504134R
- Keywords:
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- Computer Science - Distributed;
- Parallel;
- and Cluster Computing