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A data control flow based on the video task partitioning is shown in Figure 10.
Figure 10 A video task partitioning and data control flow for the optimized system architecture.
The Yourdon method was extended by Ward and Mellor to include dynamic modeling, but not task partitioning.
After a thousand generations task partitioning begins to emerge and the cooperative behavior is optimized and refined over an additional thousand generations.
The optimization of task partitioning and scheduling needs to be properly addressed in the compiler design to explore both spatial and temporal parallelism potentially offered by SmartCell.
The granularity of task partitioning in each moldable job of such big data workflows has a significant impact on energy efficiency, which remains largely unexplored.
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To maximize parallelism of the data-level task partition, an accurate load balance for slice parallelization is required.
Using exact schedulability tests increases the efficiency of these allocation algorithms, but the execution cost to validate a task partition is also greatly increased.
Second, we present a space-time-event computing framework to decompose simulation steps to reduce communication overhead in parallel execution and an OpenMP-based space-time-processor implementation method that is used to automate task partition tasks.
Under the assumption that the model parameter set D and the CS task partition ι are statistically independent, we have DL D, ι = - log 2 p D δ - log 2 p ι δ, and it acts as a penalty function measuring the model complexity.
The manager task partitions the data into K blocks, then initiates K worker tasks in different nodes; each worker task processes a single data block.
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