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- W2599986544 abstract "Graph implementation is widely use in various sector such as automotive, traffic, image processing and many more. They produce graph in large-scale dimension, cause the processing need long computational time and high specification resources. This research addressed the analysis of implementation large-scale graph using supercomputer cluster. We impelemented graph processing by using Breadth-First Search (BFS) algorithm with single destination shortest path problem. Parallel BFS implementation with Message Passing Interface (MPI) used supercomputer cluster at High Performance Computing Laboratory Computational Science Telkom University and Stanford Large Network Dataset Collection. The result showed that the implementation give the speed up averages more than 30 times and eficiency almost 90%." @default.
- W2599986544 created "2017-04-07" @default.
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- W2599986544 date "2017-01-01" @default.
- W2599986544 modified "2023-09-25" @default.
- W2599986544 title "Large-Scale Graph Processing Analysis using Supercomputer Cluster" @default.
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- W2599986544 doi "https://doi.org/10.1088/1742-6596/801/1/012079" @default.
- W2599986544 hasPublicationYear "2017" @default.
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