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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.
Review
2011
Review
2011
Memory-Level Parallelism and Processor Microarchitecture
As the gap between processor and memory performance increases,performance loss due to long-latency memory accesses become a… 
2009
2009
Leveraging Memory Level Parallelism Using Dynamic Warp Subdivision
SIMD organizations have shown to allow high throughput for data-parallel applications. They can operate on multiple datapaths… 
2009
2009
Chebyshev Functional Link Artificial Neural Networks for Denoising of Image Corrupted by Salt and Pepper Noise
Here we have presented an alternate ANN structure called functional link ANN (FLANN) for image denoising. In contrast to a feed… 
2006
2006
A Multiple Neural Network System to Classify Solder Joints on Integrated Circuits
The following paper introduces a diagnostic process to detect solder joint defects on Printed Circuit Boards assembled in Surface… 
Review
2006
Review
2006
Nonlinear Analyses and Algorithms for Speech Processing, International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers
The COST-277 European Action: An Overview.- The COST-277 European Action: An Overview.- Neuro-fuzzy Logic in Signal Processing… 
2006
2006
Application of Higher-Order Neural Networks to Financial Time-Series Prediction
Financial time series data is characterized by non-linearities, discontinuities and high frequency, multi-polynomial components… 
2004
2004
A symmetric transformation for LDA-based face verification
  • S. Marcel
  • Sixth IEEE International Conference on Automatic…
  • 2004
  • Corpus ID: 14241954
One of the major problems in face verification is to deal with a few numbers of images per person to train the system. A solution… 
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… 
2001
2001
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures
Speaker identification may be employed as part of a security system requiring user authentication. In this case, the claimed… 
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… 
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