Objective
Designing efficient algorithms for fundamental computational tasks as well as understanding the limits of tractability has been the goal of computer science since its inception. Polynomial runtime has been the de facto notion of efficiency since the introduction of the notion of NP-completeness. As the sizes of modern datasets grow, however, many classical polynomial time (and sometimes even linear time) solutions become prohibitively expensive. This calls for sublinear algorithms, i.e. algorithms whose resource requirements are substantially smaller than the size of the input that they operate on.
We propose to design a toolbox of powerful algorithmic techniques with sublinear resource requirements that will form the theoretical foundation of large data analysis, as well as develop a nuanced runtime, space and communication complexity theory to show optimality of our algorithms. Specifically, we propose to:
1. design an algorithmic toolkit for sublinear graph processing that will form the basis of large scale graph analytics;
2. design a new generation of sublinear algorithms for signal processing that will become the method of choice for a wide range of applications;
3. develop a far-reaching set of techniques for lower bounding runtime, space and communication complexity of sublinear algorithms.
The problems that we propose to solve are among the most fundamental algorithmic questions on the forefront of the rapidly developing algorithmic theory of large data analysis, which has been the focus of an extensive body of work in the research community. The algorithms and complexity theoretic results that we propose to design will cut at the core of fundamental computational problems and form the theoretical foundation of computing with constrained resources.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2017-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1015 LAUSANNE
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.