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Wrap-up: areas for improvement

• Weaker areas / shortcomings:
  • In general, weak in detecting independence in structure traversals based on integer arithmetic (modeled as recursions over recursive data structures to fit parallelizer).
  • Weaker partitioning / placement for regular computations and static data structures.
  • Little work on mutating data structures (e.g., single assignment transformations).
• The objective is to perform all these tasks well also!
• Opportunities for synergy.
• A final plug for constraint programming:
  • Merges elegantly the symbolic and the numerical worlds.
  • We believe many of the features of CLP will make it slowly into mainstream languages (e.g., ILOG and other recent proposals).