Abstract

  Parallel computations of independent tasks, coming either from a
  task stream or from data structure decomposition, can be efficiently
  implemented by exploiting macro data flow techniques.

  In this work we discuss a new technique that can be used to
  implement a distributed and efficient fireable macro data flow
  instruction repository (task pool).

  In particular, we discuss some experimental results that demonstrate
  that the implementation technique used to implement the distributed
  task pool is scalable and efficient.
  
  The results achieved will be used to improve existing prototypes
  that exploit macro data flow techniques in the execution of
  structured parallel programs. These prototypes currently use
  completely centralized fireable macro data flow instruction
  repository.