Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"hierarchical clusters"”.
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Utilizing Hierarchical Clusters in the Design of Effective and Efficient Parallel Simulations of 2-D and 3-D Ising Spin Models
… Carlo algorithms for the Ising spin model on a hierarchical cluster. A hierarchical cluster can be considered as a cluster of homogeneous nodes which are partitioned into multiple supernodes such that communication across homogenous clusters is represented by a supernode topological network. We …
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Tomographic reconstruction of the morphology of silicon nanoparticleclusters
… silicon nanoparticles and nanoparticle clusters are studied using conventional TEM, high resolution TEM and transmission electron tomography techniques. TEM and TEM based tomography provide the means to determine the size and morphology of primary particles and clusters, while the …
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Accelerating MPI collective communications through hierarchical algorithms with flexible inter-node communication and imbalance awareness
… the performance of MPI collective operations on hierarchical clusters is introduced. This algorithm exploits shared-memory buffers for efficient intra-node communication while still allowing the use of unmodified, hierarchy-unaware traditional collectives for inter-node communication. The …
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Restraurant regions : an ecological community based model of restaurant chain distribution in the United States
… of the United States. This paper applied a hierarchical clustering methodology to analyze the distribution of restaurants in the landscape. The clustering model utilized in this study is commonly used in analysis of ecological communities. Each restaurant chain was treated as an individual …
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Time-to-Event Prediction Using Deep Learning Models: Application to GPU Failure Data
… efficiently manages complex data structures like hierarchical clusters, which enhances its capacity to generalize. To improve our neural network model, we combine statistical concepts with neural network techniques. Building on these motivations, we outline our research approach as follows. We …