Hierarchical algorithms, approaches and data structures: Difference between revisions
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Latest revision as of 21:43, 17 November 2017
This wiki page is intended to capture discussions around the "hierarchical" part of HiHAT. Initially, there's a focus on understanding usage requirements and surveying possible support.
- Hierarchical algorithms
- Requirements and Concerns
- Overdecomposition can lead to excess overhead
- The degree of decomposition needed may vary by target architecture, heterogeneity of the node's computing resources, NUMA-ness of the node, and topology of the network
- Support representations of multi-D arrays, and make the movement of slices very efficient
- Approaches
- Choose the degree of decomposition based on the target system and the input data set
- Enable trade-offs between moving (halo) data and recomputing data
- Decomposition could be done at successive levels of the hierarchy, where schedulers make choices at each level on whether and how to further decompose work and data
- Data structures
- X10
- OCR