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pro vyhledávání: '"Neng-Pin Lu"'
Autor:
Neng-Pin Lu, 盧能彬
88
Superscalar multiprocessors can exploit both coarse-grained and fine-grained parallelism in programs. But the continuing widening gap between processor and memory speeds can quickly offset any performance gains expected from the parallelism e
Superscalar multiprocessors can exploit both coarse-grained and fine-grained parallelism in programs. But the continuing widening gap between processor and memory speeds can quickly offset any performance gains expected from the parallelism e
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/60106227946455163432
Autor:
Neng-Pin Lu
Publikováno v:
The Journal of Mathematical Sociology. 46:246-265
In digraphs representing asymmetric relations, the measured scores of previous spectral rankings are usually dominated by nodes in the largest strongly connected component. In our previous work, we...
Autor:
Neng-Pin Lu
Publikováno v:
The Journal of Mathematical Sociology. 45:51-64
For measuring the centrality in a digraph, Bonacich and Lloyd summarized a vector, from the power series of an attenuated adjacency matrix, as the alpha centrality. However, scores of alpha central...
Autor:
Neng-Pin Lu
Publikováno v:
The Journal of Mathematical Sociology. 43:164-178
Principal eigenvectors of adjacency matrices are often adopted as measures of centrality for a graph or digraph. However, previous principal-eigenvector-like measures for a digraph usually consider...
Autor:
Neng-Pin Lu
Publikováno v:
The Journal of Mathematical Sociology. 41:139-154
Eigenvector centrality is a popular measure that uses the principal eigenvector of the adjacency matrix to distinguish importance of nodes in a graph. To find the principal eigenvector, the power method iterating from a random initial vector is often
Autor:
Neng-Pin Lu
Publikováno v:
Journal of the Chinese Institute of Engineers. 39:936-945
The bowtie structure can illustrate not only the accessibility of the World Wide Web, but also the reachability of other directed networks. In this paper, we use the principal eigenvectors of the adjacency matrix with the unique largest eigenvalue to
Autor:
Neng-Pin Lu
Publikováno v:
Journal of the Chinese Institute of Engineers. 38:1080-1089
Among the various methods of network analyses, blockmodeling is one of the key approaches to analyzing network structures. It can be applied not only to position analysis of the individual nodes, but also to cohesive subgroup discovery of the whole n
Autor:
Shu‐Chun Lin, Neng‐Pin Lu
Publikováno v:
Journal of the Chinese Institute of Engineers. 32:123-128
Internet topology analyses have been well investigated for years; however, previous research was always based on large‐scale censuses of all the Internet routers around the world. To reduce census efforts but still to figure out the Internet topolo
Publikováno v:
Journal of Systems and Software. 66:129-134
In this paper, we propose a new multistage interconnection network, called 3-disjoint gamma interconnection network (3DGIN). The 3DGIN is a modified gamma interconnection network that provides 3-disjoint paths to tolerate two switch or link faults be
Publikováno v:
Journal of Systems and Software. 52:67-78
Branch target buffer (BTB) is widely used in modern microprocessor designs to reduce the penalties caused by branches. To evaluate the performance of a BTB, trace-driven simulation is often used. However, as the trace of a typical program is very lar