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Distributed Maple Implementation

• Modification of Maple resultant.
  • Replacement of bivariate/modular.
  • Called for bivariate polynomials of high degree.
  • Other cases solved faster by sequential methods.
• Performance Tuning
  • M images per modular task.
  • C/M images per CRA task.
  • => proportional task granularities.
  • ~ 10-30s per task.

Parallelization based on functional model.