Exploiting approximate computing methods in FPGAs to accelerate stereo correspondence algorithms
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BiBTeXSEEK ID: https://publications.h-its.org/publications/70
Research Groups: Data Mining and Uncertainty Quantification
Publication type: InProceedings
Book Title: HiPEAC Conference
Citation: In HiPEAC Conference, Amsterdam, Netherlands, Jan 2015
Date Published: 2015
Registered Mode: imported from a bibtex file
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Created: 7th Sep 2019 at 07:08
Last updated: 5th Mar 2024 at 21:23
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Research Groups: Data Mining and Uncertainty Quantification
Institutions: Heidelberg Institute for Theoretical Studies
Research Groups: Scientific Databases and Visualisation, Astroinformatics, Data Mining and Uncertainty Quantification, Groups and Geometry, Natural Language Processing, Computational Molecular Evolution, Computational Carbon Chemistry, Physics of Stellar Objects, Playground, Molecular and Cellular Modeling, Stellar Evolution Theory, SIMPLAIX
Institutions: Heidelberg Institute for Theoretical Studies
Public web page: Not specified
