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.
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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
Installing Scioto
Scioto depends on Global Arrays and MPI. Detailed installation instructions are included in the README file.
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 contact Jim Dinan (dinan at cse.ohio-state.edu) if you have questions or comments regarding Scioto.
- Dev Snapshot, 01-18-2009 [1]