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Memory-level parallelism
Known as:
MLP
, Memory Level Parallelism
Memory-level parallelism (MLP) is a term in computer architecture referring to the ability to have pending multiple memory operations, in particular…
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Related topics
Related topics
12 relations
CPU cache
Hardware scout
Instruction-level parallelism
International Supercomputing Conference
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Broader (1)
Parallel computing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Let a biogeography-based optimizer train your Multi-Layer Perceptron
S. Mirjalili
,
S. Mirjalili
,
A. Lewis
Information Sciences
2014
Corpus ID: 205459464
Review
2012
Review
2012
Sustainability transitions and final consumption: practices and socio-technical systems
A. McMeekin
,
D. Southerton
Technology Analysis & Strategic Management
2012
Corpus ID: 19862529
This article examines the significance of final consumption processes for understandings of prospective transitions towards more…
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Highly Cited
2008
Highly Cited
2008
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino J. Gomez
,
J. Schmidhuber
,
R. Miikkulainen
Journal of machine learning research
2008
Corpus ID: 1907951
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is…
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Highly Cited
2006
Highly Cited
2006
Scalable Cache Miss Handling for High Memory-Level Parallelism
James Tuck
,
L. Ceze
,
J. Torrellas
Micro
2006
Corpus ID: 1382046
Recently-proposed processor microarchitectures for high memory level parallelism (MLP) promise substantial performance gains…
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Highly Cited
2006
Highly Cited
2006
Day-ahead price forecasting of electricity markets by a new fuzzy neural network
N. Amjady
IEEE Transactions on Power Systems
2006
Corpus ID: 31604774
In this paper, an efficient method based on a new fuzzy neural network is proposed for short-term price forecasting of…
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Highly Cited
2005
Highly Cited
2005
Multi-dimensional limiting process for hyperbolic conservation laws on unstructured grids
J. Park
,
Sung-Hwan Yoon
,
Chongam Kim
Journal of Computational Physics
2005
Corpus ID: 26129565
Highly Cited
2003
Highly Cited
2003
Anomaly Detection Using Real-Valued Negative Selection
F. González
,
D. Dasgupta
Genetic Programming and Evolvable Machines
2003
Corpus ID: 5409537
This paper describes a real-valued representation for the negative selection algorithm and its applications to anomaly detection…
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Review
2000
Review
2000
Step-size control for acoustic echo cancellation filters - an overview
Andreas Mader
,
H. Puder
,
G. Schmidt
Signal Processing
2000
Corpus ID: 10235172
Highly Cited
1990
Highly Cited
1990
Links Between Markov Models and Multilayer Perceptrons
H. Bourlard
,
C. Wellekens
IEEE Transactions on Pattern Analysis and Machine…
1990
Corpus ID: 14700006
The statistical use of a particular classic form of a connectionist system, the multilayer perceptron (MLP), is described in the…
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Highly Cited
1990
Highly Cited
1990
Classification of invariant image representations using a neural network
A. Khotanzad
,
J. Lu
IEEE Transactions on Acoustics Speech and Signal…
1990
Corpus ID: 27176649
A neural network (NN) based approach for classification of images represented by translation-, scale-, and rotation-invariant…
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