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dc.creatorBiehle, Tyler Jered
dc.date.accessioned2016-09-05T14:28:21Z
dc.date.available2016-09-05T14:28:21Z
dc.date.created2014-05
dc.date.issued2013-09-09
dc.date.submittedMay 2014
dc.identifier.urihttps://hdl.handle.net/1969.1/157557
dc.description.abstractThe Standard Template Adaptive Parallel Library (STAPL) is a parallel programming framework for C++ that provides parallel algorithms and containers similar to those found in the Standard Template Library (STL). Currently STAPL is lacking implementations for three unordered associative containers: unordered set, unordered multiset, and unordered multimap. These are commonly used containers in the field of computer science; therefore, their implementations are a necessity for STAPL. The similarity of operations and structure between each container will allow a large portion of code to be reused. The goal of this work is to design and create a parallel implementation of these containers that provides the same user-level facilities as their STL equivalents and displays a high level of scalability when executed on a large number of processors.en
dc.format.mimetypeapplication/pdf
dc.subjectParallel computingen
dc.subjectcontainersen
dc.titleUnordered Associative Containers in STAPLen
dc.typeThesisen
thesis.degree.departmentComputer Science and Engineeringen
thesis.degree.disciplineComputer Sci. & Engren
thesis.degree.grantorUndergraduate Research Scholars Programen
dc.contributor.committeeMemberAmato, Nancy
dc.type.materialtexten
dc.date.updated2016-09-05T14:28:21Z


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