ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Distributed Graph Analytics

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.
Official URL: https://doi.org/10.1007/978-3-030-36987-3_1


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

Actions (login required)

View Item View Item