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Parallel network-based biocomputation: technological baseline, scale-up and innovation ecosystem

Parallel network-based biocomputation: technological baseline, scale-up and innovation ecosystem

Objective

Many technologically and societally important mathematical problems are intractable for conventional, serial computers. Therefore, a significant need exists for parallel-computing approaches that are capable to solve such problems within reasonable time frames. Recently, part of our consortium demonstrated proof-of-principle of a parallel-computation system in which a given combinatorial problem is encoded into a graphical, modular network that is embedded in a nanofabricated planar device. The problem is then solved by a large number of independent biological agents, namely molecular-motor-propelled protein filaments, exploring the network in a highly parallel fashion (PNAS 113, 2591 (2016)). Notably, this approach uses orders of magnitude less energy than conventional computers, thus addressing issues related to power-consumption and heat-dissipation. Within Bio4Comp we (i) will establish the technological and scientific basis for robust upscaling of this approach, (ii) will demonstrate scalability by systematically increasing the problem size by several orders of magnitude, and (iii) will develop new algorithms with the aim to open up a wide range of applications. Additionally, we will (iv) help foster and structure an ecosystem of scientists and companies that will accelerate the path to market acceptance, including the creation of a joint roadmap. Benefits to society will include the ability to solve hitherto intractable problems, and the development of a sustainable and energy-efficient computing approach that is radically different from current information and communications technology.
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Coordinator

LUNDS UNIVERSITET

Address

Paradisgatan 5c
22100 Lund

Sweden

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 350 447,50

Participants (5)

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TECHNISCHE UNIVERSITAET DRESDEN

Germany

EU Contribution

€ 1 107 125

LINNEUNIVERSITETET

Sweden

EU Contribution

€ 990 852,75

MOLECULAR SENSE LTD

United Kingdom

EU Contribution

€ 912 250

BAR ILAN UNIVERSITY

Israel

EU Contribution

€ 618 500

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 1 105 773,75

Project information

Grant agreement ID: 732482

Status

Ongoing project

  • Start date

    1 January 2017

  • End date

    31 December 2021

Funded under:

H2020-EU.1.2.2.

  • Overall budget:

    € 6 084 949

  • EU contribution

    € 6 084 949

Coordinated by:

LUNDS UNIVERSITET

Sweden