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Data dependency
Known as:
Data-dependent
, Data dependence
, Data dependencies
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A data dependency in computer science is a situation in which a program statement (instruction) refers to the data of a preceding statement. In…
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Related topics
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25 relations
Broader (1)
Analysis of parallel algorithms
Blocking (computing)
Computer science
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Cyrix 6x86
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Data-driven process discovery
F. Mannhardt
,
M. Leoni
,
H. Reijers
,
Wil M.P. van der Aalst
2017
Corpus ID: 30897537
. Process discovery methods automatically infer process models from event logs. Often, event logs contain so-called noise, e.g…
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2014
2014
Description-Discrimination Collaborative Tracking
Dapeng Chen
,
Zejian Yuan
,
G. Hua
,
Yang Wu
,
Nanning Zheng
European Conference on Computer Vision
2014
Corpus ID: 6080885
Appearance model is one of the most important components for online visual tracking. An effective appearance model needs to…
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2010
2010
Early Prediction of Hardware Complexity in HLL-to-HDL Translation
A. Cilardo
,
P. Durante
,
Carmelo Lofiego
,
A. Mazzeo
International Conference on Field-Programmable…
2010
Corpus ID: 13056750
Early prediction of hardware complexity is essential in driving hardware/software partitioning and the automatic generation of…
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2005
2005
Alleviating the data memory bandwidth bottleneck in coarse-grained reconfigurable arrays
G. Dimitroulakos
,
M. Galanis
,
C. Goutis
IEEE International Conference on Application…
2005
Corpus ID: 15621746
It is widely known that parallel operation execution in multiprocessor systems generates a respective increase in memory accesses…
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2002
2002
Architectural Analysis of Cryptographic Applications for Network Processors
Haiyong Xie
,
Li Zhou
,
L. Bhuyan
2002
Corpus ID: 18400866
Network processors are application specific programmable processors and will become critical components of next-generation…
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1998
1998
Multiresolution Based on Weighted Averages of the Hat Function II: Nonlinear Reconstruction Techniques
F. Aràndiga
,
R. Donat
,
A. Harten
SIAM Journal on Scientific Computing
1998
Corpus ID: 2926563
In this paper we describe and analyze a class of nonlinear \mr schemes for the multiresolution setting which corresponds to…
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1997
1997
Improved Detection For Magnetic Recording Systems With Media Noise
Joseph Peter Caroselli
,
S. A. Altekar
,
P. McEwen
,
J. K. Wolf
IEEE International Magnetics Conference
1997
Corpus ID: 42451727
In this paper, data-dependent partial local feedback noise prediction schemes will be considered for magnetic recording…
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1994
1994
Elimination of inference channels by optimal upgrading
M. Stickel
Proceedings of IEEE Computer Society Symposium…
1994
Corpus ID: 24597708
An inference channel exists if it is possible for a low-clearance user to infer high-classification data from low-classification…
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1991
1991
Regularized fast recursive least squares algorithms for adaptive filtering
A. Houacine
IEEE Transactions on Signal Processing
1991
Corpus ID: 1987976
Fast recursive least squares (FRLS) algorithms are developed by using factorization techniques which represent an alternative way…
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1989
1989
Modelling thin-film storage channels
K. Fisher
,
J. Cioffi
International Magnetics Conference
1989
Corpus ID: 37027436
A straightforward method for modeling nonlinearity and data-dependent (transition-dependent) media noise in a thin-film storage…
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