Scioto

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Scioto: Shared Collections of Task Objects

Scioto (pronounced /sigh-OH-toe/ [1]) is a framework for supporting task parallelism on distributed memory machines under one-sided and global view parallel programming models. This framework allows the user to express their program as a set of tasks that are automatically scheduled and load balanced with respect to locality by the runtime system. Through task parallelism, the Scioto framework provides an approach to overcoming irregularity, load imbalance, and heterogeneity as well as dynamic mapping of computation onto emerging architectures.

Scioto uses ARMCI and MPI internally. We have tested interoperability with MPI, ARMCI, and Global Arrays applications and are investigating interoperability with additional parallel programming tools.

Documentation

Sorry, documentation is a work in progress! We hope to have something here soon! Please refer to the example programs included with the Scioto source code and Doxygen comments in the source.

Publications

Scioto: A Framework for Global-View Task Parallelism pdf slides
James Dinan, Sriram Krishnamoorthy, D. Brian Larkins, Jarek Nieplocha, P. Sadayappan
Proc. of 37th Intl. Conference on Parallel Processing. Portland, OR, Sept. 8-12, 2008.

Installing Scioto

Scioto depends on both ARMCI and MPI. Detailed installation instructions are included in the README file.

Acknowledgements

Current project members:

This research was supported in part by DOE grant #DE-FC02- 06ER25755 and NSF grant #0403342.

Download

We are currently providing early development snapshots for download. Please contact Jim Dinan (dinan at cse.ohio-state.edu) if you have questions or comments regarding Scioto.

  • Dev Snapshot, 09-13-2008 [2]
  • Dev Snapshot, 09-10-2008 [3]
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