Basic HTML version of Foils prepared August 7 98

Foil 4 Data Mapping, cont.

From DoD HPF Training -- 4. HPF Data Mapping Facilities DoD Training and Others -- 1995-98. by Chuck Koelbel -- Rice University


Goals:
  • Avoiding Contention: Data updated in parallel should be on different processors
  • Locality of Reference: Data used together should be on the same processor
These goals are sometimes in conflict
  • To avoid all contention, put every data item on its own processor
  • To maximize locality, put all data on one processor
  • HPF gives you the tools to resolve these conflicts, but doesnąt solve them for you



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