DisDyn | Distributed and Dynamic Graph Algorithms and Complexity

Summary
This project aims to (i) resolve challenging graph problems in distributed and dynamic settings, with a focus on connectivity problems (such as computing edge connectivity and distances), and (ii) on the way develop a systematic approach to attack problems in these settings, by thoroughly exploring relevant algorithmic and complexity-theoretic landscapes. Tasks include


- building a hierarchy of intermediate computational models so that designing algorithms and proving lower bounds can be done in several intermediate steps,

- explaining the limits of algorithms by proving conditional lower bounds based on old and new reasonable conjectures, and

- connecting techniques in the two settings to generate new insights that are unlikely to emerge from the isolated viewpoint of a single field.


The project will take advantage from and contribute to the developments in many young fields in theoretical computer science, such as fine-grained complexity and sublinear algorithms. Resolving one of the connectivity problems will already be a groundbreaking result. However, given the approach, it is likely that one breakthrough will lead to many others.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/715672
Start date: 01-02-2017
End date: 31-07-2022
Total budget - Public funding: 1 500 000,00 Euro - 1 500 000,00 Euro
Cordis data

Original description

This project aims to (i) resolve challenging graph problems in distributed and dynamic settings, with a focus on connectivity problems (such as computing edge connectivity and distances), and (ii) on the way develop a systematic approach to attack problems in these settings, by thoroughly exploring relevant algorithmic and complexity-theoretic landscapes. Tasks include


- building a hierarchy of intermediate computational models so that designing algorithms and proving lower bounds can be done in several intermediate steps,

- explaining the limits of algorithms by proving conditional lower bounds based on old and new reasonable conjectures, and

- connecting techniques in the two settings to generate new insights that are unlikely to emerge from the isolated viewpoint of a single field.


The project will take advantage from and contribute to the developments in many young fields in theoretical computer science, such as fine-grained complexity and sublinear algorithms. Resolving one of the connectivity problems will already be a groundbreaking result. However, given the approach, it is likely that one breakthrough will lead to many others.

Status

CLOSED

Call topic

ERC-2016-STG

Update Date

27-04-2024
Geographical location(s)
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EU-Programme-Call
Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2016
ERC-2016-STG