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Distributed and Parallel Systems Group (DPS) UIBK - Distributed Computing

The Distributed and Parallel Systems Group (DPS) is engaged in research and development of programming environments, multi-objective optimization, measurement and modeling of non-functional program and system behavior as well as software tools for Internet computing systems, Cloud infrastructures and multicore parallel computers.

DPS enables new forms of science that are computation and data-intensive, distributed, highly-parallel, collaborative, and multi-disciplinary.

Our objective is to simplify the effective use of multiprocessor parallel architectures and geographically distributed, heterogeneous systems, which will provide the basis for the next generation of Internet-enabled performance-oriented applications.

We investigate our solutions in the context of mobile systems, PCs, servers, and high-end supercomputers; and explore their utilization in supporting application domains in life sciences, business analytics, natural sciences, engineering, social networking and gaming. DPS research should enable scientists to do faster, better or different research.

Our main repositories are hosted on the University of Innsbruck's GitLab server: https://git.uibk.ac.at/informatik/dps

Popular repositories Loading

  1. Cirrina Cirrina Public

    The Cirrina Collaborative State Machines (CSM) runtime system.

    Java 4 4

  2. Cirrina-Specifications Cirrina-Specifications Public

    The Collaborative State Machines Language (CSML) specifications.

    2 2

  3. Cirrina-UseCases Cirrina-UseCases Public

    Cirrina use case implementations.

    Python 1 3

  4. .github .github Public

  5. Cirrina-VCSM Cirrina-VCSM Public

    TypeScript 1

  6. enos-kubernetes enos-kubernetes Public

    Python

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