Date Available
12-6-2017
Year of Publication
2017
Document Type
Master's Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
College
Engineering
Department/School/Program
Electrical and Computer Engineering
Advisor
Dr. Henry Dietz
Abstract
Most systems in HPC make use of hierarchical designs that allow multiple levels of parallelism to be exploited by programmers. The use of multiple multi-core/multi-processor computers to form a computer cluster supports both fine-grain and large-grain parallel computation. Aggregate function communications provide an easy to use and efficient set of mechanisms for communicating and coordinating between processing elements, but the model originally targeted only fine grain parallel hardware. This work shows that a hierarchical implementation of aggregate functions is a viable alternative to MPI (the standard Message Passing Interface library) for programming clusters that provide both fine grain and large grain execution. Performance of a prototype implementation is evaluated and compared to that of MPI.
Digital Object Identifier (DOI)
https://doi.org/10.13023/ETD.2017.496
Recommended Citation
Quevedo, Pablo, "Hierarchical Implementation of Aggregate Functions" (2017). Theses and Dissertations--Electrical and Computer Engineering. 111.
https://uknowledge.uky.edu/ece_etds/111
Included in
Computer and Systems Architecture Commons, Digital Communications and Networking Commons
