DOI: 10.1109/BigData66926.2025.11401782 Whereas the literature describes an increasing number of graph algorithms, loading graphs remains a time-consuming component of the end-to-end execution time. Graph frameworks often rely on custom graph storage formats, that are not optimized for efficient loading of large-scale graph datasets. Furthermore, graph loading is often not optimized […]
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OrbitSI is an open-source Python framework designed to efficiently solve the subgraph isomorphism enumeration problem, i.e., identifying all subgraphs within a data graph that are structurally identical to a given pattern graph. The tool introduces an orbit-aware pruning and ordering strategy that significantly improves enumeration speed compared to classical algorithms. […]
PDF versionDOI: 10.48550/arXiv.2507.00716 ParaGrapher is a graph loading API and library that enables graph processing frameworks to load large-scale compressed graphs with minimal overhead. This capability accelerates the design and implementation of new high-performance graph algorithms and their evaluation on a wide range of graphs and across different frameworks. However, […]
30th International European Conference on Parallel and Distributed Computing (Euro-Par 2024) DOI: 10.1007/978-3-031-69583-4_7PDF Version Abstract The Maximum Weighted Clique(MWC) problem remains challenging due to its unfavourable time complexity.In this paper, we analyze the execution of exact search-based MWC algorithms and show that high-accuracy weighted cliques can be discovered in the […]
PDF versionDOI: 10.48550/arXiv.2404.19735 Comprehensive evaluation is one of the basis of experimental science. In High-Performance Graph Processing, a thorough evaluation of contributions becomes more achievable by supporting common input formats over different frameworks. However, each framework creates its specific format, which may not support reading large-scale real-world graph datasets. This […]
Short URL of this post: https://blogs.qub.ac.uk/DIPSA/HDD-vs-SSD-vs-LustreFS-2024 We evaluate read bandwidth of three storage types: and for three parallel read methods: and for two block sizes: The source code is available on ParaGrapher repository: The OS cache of storage contents have been dropped after each evaluation (sudo sh -c 'echo 3 […]
MS-BioGraph sequence similarity graph datasets are now publicly available on IEEE DataPort: https://doi.org/10.21227/gmd9-1534 . To access the files, you need to register/login to IEEE DataPort and then visit the MS-BioGraphs page. By saving the page as an HTML file such as dp.html, you may download the datasets (as an example […]
ParaGrapher source code has been integrated to LaganLighter and access to different WebGraph formats are available in LaganLighter: For further details, please refer to – LaganLighter source coder Repository: https://github.com/DIPSA-QUB/LaganLighter, particularly, the graph.c file.– ParaGrapher source code repository: https://github.com/DIPSA-QUB/ParaGrapher particularly, the src/webgraph.c and src/WG*.java files. Read more about ParaGrapher and […]
ParaGrapher source code for accessing WebGraphs have been published. The supported graph types are: ParaGrapher uses its asynchronous and parallel API to implement these graph types. The user needs to implement a callback function that is called by the API upon completion of reading a block of edges. Poplar uses […]