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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 cacheHardware scoutInstruction-level parallelismInternational Supercomputing Conference

Broader (1)

Parallel computing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Representation of Texts into String Vectors for Text Categorization
In this study, we propose a method for encoding documents into string vectors, instead of numerical vectors. A traditional… 
Highly Cited
2006
Highly Cited
2006
Fast computation of voltage stability security margins using nonlinear programming techniques
This paper presents a simple, fast, and efficient method for determining the maximum loading point (MLP) and the voltage… 
2006
2006
Are We Ready for High Memory-Level Parallelism ?
Recently-proposed processor microarchitectures that generate high Memory Level Parallelism (MLP) promise substantial performance… 
2005
2005
Fast and robust gas identification system using an integrated gas sensor technology and Gaussian mixture models
Among the most serious limitations facing the success of future consumer gas identification systems are the drift problem and the… 
Highly Cited
2004
Highly Cited
2004
Connectivity oriented fast Hough transform for tool wear monitoring
Highly Cited
2002
Highly Cited
2002
PCA for gender estimation: which eigenvectors contribute?
A pruning schema is applied to multi-layer perceptron (MLP) gender classifier MLP uses eigenvector coefficients of the face space… 
Highly Cited
2000
Highly Cited
2000
Border-Block Triangular Form and Conjunction Schedule in Image Computation
Conjunction scheduling in image computation consists of clustering the parts of a transition relation and ordering the clusters… 
1998
1998
Manufacturing Process Modeling and Optimization Based on Multi-Layer Perceptron Network
It has been shown that a manufacturing process can be modeled (learned) using Multi-Layer Perceptron (MLP) neural network and… 
1996
1996
Implementation of RBF type networks by MLP networks
Simple transformations of input patterns onto a hypersphere in augmented space are presented and experimentally verified. This… 
Highly Cited
1987
Highly Cited
1987
Facilitating Mixed Language Programming in Distrbuted Systems
An approach for facilitating mixed language programming in distributed systems is presented. It is based on adding a generic… 
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