Research output

  1. Brahma.FSharp: Power of Functional Programming to Create Portable GPGPU-Enabled .NET Applications

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  2. Universal High-Performance CFL-Reachability via Matrix Multiplication

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. PySymGym: An Infrastructure to Train AI-Powered Navigation Assistant for Symbolic Execution Engine

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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Projects

  1. Логические и алгебраические методы в теории формальных языков: 2022 г. этап 5

    Project: Grant fulfilment › Grant stage fulfilment

  2. Логические и алгебраические методы в теории формальных языков: 2021 г. этап 4

    Project: Grant fulfilment › Grant stage fulfilment

  3. Методы и средства разработки языковых процессоров на основе использования поверхностно-встроенных языков: 2020 г. этап 3

    Project: Grant fulfilment › Grant stage fulfilment

View all () »

Activities

  1. Brahma.FSharp: Power of Functional Programming to Create Portable GPGPU-Enabled .NET Applications

    Activity: Conference talk types › Oral presentation

  2. PySymGym: An Infrastructure to Train AI-Powered Navigation Assistant for Symbolic Execution Engine

    Activity: Conference talk types › Oral presentation

View all (2) »

ID: 218973