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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

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2012
2012
Determining Displacement in Concrete Reinforcement Building with using Evolutionary Artificial Neural Networks
After the occurrence of an earthquake, the issues such as making decision promptly on building safety, making possibility to keep… 
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
Misuse Detection Using Hybrid of Association Rule Mining and Connectionist Modeling
With the growing of computer networks, the number of attacks has grown extensively. Intrusion detection system (IDS) is known as… 
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… 
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… 
1996
1996
Speaker-adaptation in a hybrid HMM-MLP recognizer
Presently the most important systems for large vocabulary, continuous speech recognition are speaker-independent. These systems… 
1996
1996
FlexNet - A flexible neural network construction algorithm
Dynamic neural network algorithms are used for automatic network design in order to avoid time consuming search for finding an… 
1994
1994
Task independent and dependent training: performance comparison of HMM and hybrid HMM/MLP approaches
Compares speaker independent isolated word recognition performance obtained with standard phonemic hidden Markov models (HMMs…