Scioto

Scioto, or Shared Collections of Task Objects, is a lightweight framework for providing task management on distributed memory machines under one-sided and global-view parallel programming models. Scioto provides locality aware dynamic load balancing and interoperates with MPI, ARMCI, and Global Arrays. Through task parallelism, the Scioto framework provides a solution for overcoming irregularity, load imbalance, and heterogeneity as well as dynamic mapping of computation onto emerging architectures.

Publications

Scioto: A Framework for Global-View Task Parallelism 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. PDF PPT

Acknowledgements

Current project members:

• James Dinan (Scioto maintainer)
• D. Brian Larkins
• Prof. P. Sadayappan
• Sriram Krishnamoorthy
• Jarek Nieplocha

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 see the included README file for installation instructions. For questions or comments, contact Jim Dinan (dinan at cse.ohio-state.edu).

• Dev Snapshot, 01-18-2009 [1]