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Scaling Formal Methods Toward Hierarchical Protocols in Shared Memory Processors

Scaling Formal Methods Toward Hierarchical Protocols in Shared Memory Processors

Scaling Formal Methods Toward Hierarchical Protocols in Shared Memory Processors. An SRC GRC e-Workshop on 1/23/08. Presenter: Ganesh Gopalakrishnan Professor, School of Computing , University of Utah, Salt Lake City, UT 84112

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800 views • 72 slides
Verification of Hierarchical Cache Coherence Protocols for Future Processors

Verification of Hierarchical Cache Coherence Protocols for Future Processors

Verification of Hierarchical Cache Coherence Protocols for Future Processors. Student: Xiaofang Chen Advisor: Ganesh Gopalakrishnan. Outline. Background Proposed solutions High level hierarchical coherence protocol verification

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664 views • 50 slides
Chapter 7: Clustering (Unsupervised Data Organization)

Chapter 7: Clustering (Unsupervised Data Organization)

Chapter 7: Clustering (Unsupervised Data Organization). 7.1 Hierarchical Clustering 7.2 Flat Clustering 7.3 Embedding into Vector Space for Visualization 7.4 Applications. Clustering: unsupervised grouping (partitioning) of objects into classes (clusters) of similar objects.

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653 views • 49 slides
Optical Interconnection Networks for Scalable High-performance Parallel Computing Systems

Optical Interconnection Networks for Scalable High-performance Parallel Computing Systems

Optical Interconnection Networks for Scalable High-performance Parallel Computing Systems. Ahmed Louri Department of Electrical and Computer Engineering University of Arizona, Tucson, AZ 85721 louri@ece.arizona.edu Optical Interconnects Workshop for High Performance Computing

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605 views • 36 slides
Clustering

Clustering

Clustering. 10/9/2002. Idea and Applications. Clustering is the process of grouping a set of physical or abstract objects into classes of similar objects. It is also called unsupervised learning. It is a common and important task that finds many applications. Applications in Search engines:

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418 views • 31 slides
Date: 2010-4-29

Date: 2010-4-29

[Intra cluster response model and parameter for the enterprise cubicle environments at 60GHz (Part2)]. Date: 2010-4-29. Authors:. Abstract. This paper shows reflection wave characteristics by ceiling for the enterprise cubicle environment channel modeling For near location

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326 views • 20 slides

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