Characterizing Traffic Locality in 3D NoC-Based CMPs Using a Path-Based Partitioning Method
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سال
: 2014شناسه الکترونیک: 10.1109/eScience.2014.54
کلیدواژه(گان): Image reconstruction,Information retrieval,Measurement,Natural language processing,Prototypes,Semantics,Vectors,data provenance reconstruction,longest common subsequence,semantic analysis,similarity metrics,topic modeling,vector space model
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Characterizing Traffic Locality in 3D NoC-Based CMPs Using a Path-Based Partitioning Method
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contributor author | Bahrebar, Poona | |
contributor author | Stroobandt, Dirk | |
date accessioned | 2020-03-12T21:07:31Z | |
date available | 2020-03-12T21:07:31Z | |
date issued | 2014 | |
identifier other | 6925720.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1037825 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Characterizing Traffic Locality in 3D NoC-Based CMPs Using a Path-Based Partitioning Method | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8164233 | |
subject keywords | Image reconstruction | |
subject keywords | Information retrieval | |
subject keywords | Measurement | |
subject keywords | Natural language processing | |
subject keywords | Prototypes | |
subject keywords | Semantics | |
subject keywords | Vectors | |
subject keywords | data provenance reconstruction | |
subject keywords | longest common subsequence | |
subject keywords | semantic analysis | |
subject keywords | similarity metrics | |
subject keywords | topic modeling | |
subject keywords | vector space model | |
identifier doi | 10.1109/eScience.2014.54 | |
journal title | igh-Performance Interconnects (HOTI), 2014 IEEE 22nd Annual Symposium on | |
filesize | 1186005 | |
citations | 0 |