Simmhan, Yogesh and Choudhury, Neel (2019) Distributed Graph Analytics. In: 16th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, 9 January 2020 - 12 January 2020, Hyderabad, pp. 3-20.
Full text not available from this repository.Abstract
Graph Analytics is important in different domains: social networks, computer networks, and computational biology to name a few. This paper describes the challenges involved in programming the underlying graph algorithms for graph analytics for distributed systems with CPU, GPU, and multi-GPU machines and how to deal with them. It emphasizes how language abstractions and good compilation can ease programming graph analytics on such platforms without sacrificing implementation efficiency. © Springer Nature Switzerland AG 2020.
| Item Type: | Conference Paper |
|---|---|
| Publication: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher: | Springer |
| Additional Information: | The copyright for this article is belong to the Springer |
| Keywords: | Big Data platforms; distributed systems; graph algorithms; time-series data |
| Department/Centre: | Division of Interdisciplinary Sciences > Computational and Data Sciences |
| Date Deposited: | 03 Jun 2022 04:59 |
| Last Modified: | 25 Sep 2022 09:09 |
| URI: | https://eprints.iisc.ac.in/id/eprint/64525 |
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