Data-Intensive Supercomputing Laboratory

Research activities

  • Large scale graph processing and artificial intelligence
    • solving complex problems using machine learning methods and neural networks
    • development of graph algorithms scalable to an extremely large number of cores
    • Big Data technologies
  • Development of advanced architectures
    • simulation of the systems
    • survey and analytics
  • HPCjudge contest system