High performance mapping for massively parallel hierarchical structures

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Techniques for mapping image processing and computer vision algorithms onto a class of hierarchically structured systems are presented. In order to produce mappings of maximum efficiency, objective functions that measure the quality of given mappings with respect to particular optimization goals are proposed. The effectiveness and the computation complexity of mapping algorithms that yield very high performance by minimizing the objective functions are discussed. Performance results are also presented.

Original languageEnglish (US)
Title of host publicationProc 3 Symp Front Massively Parallel Comput Frontiers 90
PublisherPubl by IEEE
Pages251-254
Number of pages4
ISBN (Print)0818620536
StatePublished - Dec 1 1990
EventProceedings of the 3rd Symposium on the Frontiers of Massively Parallel Computation - Frontiers '90 - College Park, MD, USA
Duration: Oct 8 1990Oct 10 1990

Publication series

NameProc 3 Symp Front Massively Parallel Comput Frontiers 90

Other

OtherProceedings of the 3rd Symposium on the Frontiers of Massively Parallel Computation - Frontiers '90
CityCollege Park, MD, USA
Period10/8/9010/10/90

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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