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11	SynopSys: Foundations for Multidimensional Graph Analytics Rudolf, Michael, Voigt, Hannes, Bornhövd, Christof, Lehner, Wolfgang 02 February 2023 (has links) The past few years have seen a tremendous increase in often irregularly structured data that can be represented most naturally and efficiently in the form of graphs. Making sense of incessantly growing graphs is not only a key requirement in applications like social media analysis or fraud detection but also a necessity in many traditional enterprise scenarios. Thus, a flexible approach for multidimensional analysis of graph data is needed. Whereas many existing technologies require up-front modelling of analytical scenarios and are difficult to adapt to changes, our approach allows for ad-hoc analytical queries of graph data. Extending our previous work on graph summarization, in this position paper we lay the foundation for large graph analytics to enable business intelligence on graph-structured data. info:eu-repo/classification/ddc/004 ddc:004
12	Fast Algorithms for Large-Scale Network Analytics Sariyuce, Ahmet Erdem 29 May 2015 (has links) No description available. Computer Science graph analytics social networks dynamic networks streaming graphs centrality computation dense subgraph discovery k-core decomposition community detection
13	PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data Fuhry, David P. January 2015 (has links) No description available. Computer Science Network Analytics Graph Analytics High-Dimensional Data Visualization PLASMA-HD Graph Growth Approximate Itemset Mining Parallel Coordinates
14	Code Optimization on GPUs Hong, Changwan 30 October 2019 (has links) No description available. Computer Science GPU performance modeling optimization SpMV SpMM SDDMM sparse matrix graph processing tiling multicore manycore matrix multiplication tensor stencil SIMD data locality CSR parallel load balance shared memory graph analytics

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