Data Sharing Data sharing can be a double-edged sword Excessive data sharing drastically reduces advantage of parallel execution Localized sharing can improve memory bandwidth efficiency Efficient memory bandwidth usage can be achieved by synchronizing the execution of task groups and coordinating their usage of memory data Efficient use of on-chip,shared storage and datapaths Read-only sharing can usually be done at much higher efficiency than read-write sharing,which often requires more synchronization - Many:Many,One:Many,Many:One,One:One 5 ②nVIDIA ILLINOIS5 Data Sharing – Data sharing can be a double-edged sword – Excessive data sharing drastically reduces advantage of parallel execution – Localized sharing can improve memory bandwidth efficiency – Efficient memory bandwidth usage can be achieved by synchronizing the execution of task groups and coordinating their usage of memory data – Efficient use of on-chip, shared storage and datapaths – Read-only sharing can usually be done at much higher efficiency than read-write sharing, which often requires more synchronization – Many:Many, One:Many, Many:One, One:One