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The Dynamically Partitioned Data-Flow (DPDF) model is based on an original analysis concept of the data dependency graph at the instruction level. Instead of a breadth first analysis, as in a classical Data-Flow Model, we execute instructions along data-dependent paths. As a consequence, data locality can be exploited by reusing results between the execution of consecutive instructions. In addition,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.