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Reengineering and Enabling Performance and poweR of Applications




The REPARA project aims to help the transformation and deployment of new and legacy applications in parallel heterogeneous computing architectures while maintaining a balance between application performance, energy efficiency and source code maintainability.


In recent years, traditional processors have not been able to translate the advances of silicon fabrication technology into corresponding performance gains. This has been due to weaknesses inherent in the current sequential programming model, which has not changed significantly since the late 1940’s, as well as due to physical constraints, such as practical limits on the energy consumption and the associated cooling efforts for a processor. To keep satisfying the ever-growing demand for computing power, these difficulties have forced a shift from homogeneous machines relying on a one single kind of fast processing element (the CPU) such as typical PCs some years ago, programmed mostly sequentially, to heterogeneous architectures combining different kinds of processors (such as CPUs, GPUs and DSPs) each specialized for certain tasks (as PCs nowadays), and programmed in a highly parallel fashion yet poorly optimising the available resources towards performance and low energy consumption.


  •     O1: Language representation.
  •     O2: Application partitioning.
  •     O3: Source code transformation.
  •     O4: Compilation into reconfigurable hardware.
  •     O5: Software quality modelling.
  •     O6: Runtime engines.
  •     O7: Framework validation.

The Dept. of Computer Science has been involved in the project actvities right after the official project start, with the group of Prof. M. Danelutto, responsible of work package 6 "Run time system" and member of the project Steering committee. The University of Torino (Dept. of Computer Science, Dr. M. Alinducci) participates to the project as "third party" in the Dept. group.
The project will implement a run time system based on FastFlow, the open source, structured parallel programming environment jointly developed by the Departments of Computer Science of the Universities of Pisa and Torino.