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Social networks produce an enormous quantity of data. Facebook consists of over 400 million active users sharing over 5 billion pieces of information each month. Analyzing this vast quantity of unstructured data presents challenges for software and hardware. We present GraphCT, a Graph Characterization Toolkit for massive graphs representing social network data. On a 128-processor Cray XMT, GraphCT...
We present a new parallel algorithm that extends and generalizes the traditional graph analysis metric of betweenness centrality to include additional non-shortest paths according to an input parameter k. Betweenness centrality is a useful kernel for analyzing the importance of vertices or edges in a graph and has found uses in social networks, biological networks, and power grids, among others. k-betweenness...
We present a new lock-free parallel algorithm for computing betweenness centrality of massive complex networks that achieves better spatial locality compared with previous approaches. Betweenness centrality is a key kernel in analyzing the importance of vertices (or edges) in applications ranging from social networks, to power grids, to the influence of jazz musicians, and is also incorporated into...
In order to solve the pressure measurement problem in the harsh environment, such as high temperature above 200degC, a special piezoresistive pressure sensor chip has been developed. Based on the MEMS (micro electro-mechanical system) and SIMOX (separation by implantation of oxygen) technology, the piezoresistive pressure sensor chip was constituted by silicon substrate, a thin buried silicon dioxide...
Two kinds of nano-scale typical structures were fabricated for characterizing line edge roughness (LER) and line width roughness (LWR). With Cr and Si3N4 thin films alternately deposited on a silicon substrate and electronic beam lithography employed on a positive resist ZEP520 layer, a nano-scale multiple linewidth standard and a nano-scale grating structure were processed respectively. In regard...
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