Skip to main content
eScholarship
Open Access Publications from the University of California

From UML specifications to mapping and scheduling of tasks into a NoC, with reliability considerations

  • Author(s): Bolanos, F
  • Rivera, F
  • Aedo, JE
  • Bagherzadeh, N
  • et al.
Abstract

This paper describes a technique for performing mapping and scheduling of tasks belonging to an executable application into a NoC-based MPSoC, starting from its UML specification. A toolchain is used in order to transform the high-level UML specification into a middle-level representation, which takes the form of an annotated task graph. Such an input task graph is used by an optimization engine for the sake of carrying out the design space exploration. The optimization engine relies on a Population-based Incremental Learning (PBIL) algorithm for performing mapping and scheduling of tasks into the NoC. The PBIL algorithm is also proposed for dynamic mapping of tasks in order to deal with failure events at runtime. Simulation results are promising and exhibit a good performance of the proposed solution when problem size is increased. © 2013 Elsevier B.V. All rights reserved.

Many UC-authored scholarly publications are freely available on this site because of the UC Academic Senate's Open Access Policy. Let us know how this access is important for you.

Main Content
Current View