PRESTO: A Parallel Runtime Environment for Scalable Task-Oriented Computations
| dc.contributor.advisor | Malony, Allen | en_US |
| dc.contributor.author | Ozog, David | en_US |
| dc.date.accessioned | 2013-10-03T23:31:43Z | |
| dc.date.available | 2013-10-03T23:31:43Z | |
| dc.date.issued | 2013-10-03 | |
| dc.description.abstract | While the message-passing paradigm, seen in programming models such as MPI and UPC, has provided a solution for efficiently programming on distributed memory computer systems, this approach is not a panacea for the needs of all scientists. The traditional method of developing parallel applications in C/C++ and Fortran potentially leaves behind high-level and heterogeneous environments which are the most conducive for supporting modern computational science endeavors. PRESTO alleviates this problem with an easy-to-use framework which provides multi-language adapters to a flexible MPI middleware supporting common computational models such as the asynchronous master/worker and ring pipeline in heterogeneous environments. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1794/13239 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | University of Oregon | en_US |
| dc.rights | All Rights Reserved. | en_US |
| dc.title | PRESTO: A Parallel Runtime Environment for Scalable Task-Oriented Computations | en_US |
| dc.type | Electronic Thesis or Dissertation | en_US |
| thesis.degree.discipline | Department of Computer and Information Science | en_US |
| thesis.degree.grantor | University of Oregon | en_US |
| thesis.degree.level | masters | en_US |
| thesis.degree.name | M.S. | en_US |
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