{"id":2606,"date":"2023-10-02T00:26:00","date_gmt":"2023-10-01T23:26:00","guid":{"rendered":"https:\/\/blogs.qub.ac.uk\/dipsa\/?p=2606"},"modified":"2024-06-20T16:29:17","modified_gmt":"2024-06-20T15:29:17","slug":"dataset-announcement-ms-biographs-trillion-scale-public-real-world-sequence-similarity-graphs","status":"publish","type":"post","link":"https:\/\/blogs.qub.ac.uk\/dipsa\/dataset-announcement-ms-biographs-trillion-scale-public-real-world-sequence-similarity-graphs\/","title":{"rendered":"Dataset Announcement: MS-BioGraphs, Trillion-Scale Public Real-World Sequence Similarity Graphs – IISWC’23 (Poster)"},"content":{"rendered":"\n

<\/a>2023 IEEE International Symposium on Workload Characterization (IISWC\u201923)<\/a><\/strong>
October 1-3, 2023, Ghent, Belgium<\/p>\n\n\n\n

DOI: 10.1109\/IISWC59245.2023.00029<\/strong><\/a>
PDF Version<\/a>

Progress in High-Performance Computing in general, and High-Performance Graph Processing in particular, is highly dependent on the availability of publicly-accessible, relevant, and realistic data sets.<\/p>\n\n\n\n

In this paper, we announce publication of MS-BioGraphs<\/strong>, a new family of publicly-available real-world edge-weighted graph datasets with up to 2.5 trillion edges<\/strong>, that is, 6.6 times greater than the largest graph published recently.<\/p>\n\n\n\n

We briefly review the two main challenges we faced in generating large graph datasets and our solutions, that are, (i) optimizing data structures and algorithms for this multi-step process and (ii) WebGraph parallel compression technique. We also study some characteristics of MS-BioGraphs.<\/p>\n\n\n\n

The datasets are available on https:\/\/blogs.qub.ac.uk\/DIPSA\/MS-BioGraphs<\/a> .<\/p>\n\n\n\n

Please visit https:\/\/blogs.qub.ac.uk\/DIPSA\/MS-BioGraphs-Sequence-Similarity-Graph-Datasets\/<\/a> for a complete version of this paper.<\/p>\n\n\n\n

Bibtex<\/strong><\/p>\n\n\n\n

@INPROCEEDINGS{10.1109\/IISWC59245.2023.00029,\n   author = {Koohi Esfahani, Mohsen and Boldi, Paolo and Vandierendonck, Hans and Kilpatrick,  Peter and  Vigna, Sebastiano},  \n  booktitle={2023 IEEE International Symposium on Workload Characterization (IISWC'23)},  \n  title={Dataset Announcement: {MS-BioGraphs}, Trillion-Scale Public Real-World Sequence Similarity Graphs}, \n  year={2023},\n  volume={},\n  number={},\n  pages={},\n  location={Belgium, Ghent},\n  publisher={IEEE Computer Society},\n  doi={10.1109\/IISWC59245.2023.00029}\n}<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
MS-BioGraphs<\/a><\/strong>

Related Posts<\/strong><\/p>\n\n\n