Show simple item record

dc.contributor.advisorMalony, Allenen_US
dc.contributor.authorOzog, Daviden_US
dc.date.accessioned2013-10-03T23:31:43Z
dc.date.available2013-10-03T23:31:43Z
dc.date.issued2013-10-03
dc.identifier.urihttp://hdl.handle.net/1794/13239
dc.description.abstractWhile 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.language.isoen_USen_US
dc.publisherUniversity of Oregonen_US
dc.rightsAll Rights Reserved.en_US
dc.subjecten_US
dc.titlePRESTO: A Parallel Runtime Environment for Scalable Task-Oriented Computationsen_US
dc.typeElectronic Thesis or Dissertationen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineDepartment of Computer and Information Scienceen_US
thesis.degree.grantorUniversity of Oregonen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record