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Such metrics include application workload, execution time estimation, disk or memory space availability, etc.
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Based on a formal UI description in UsiXML, the cognitive architecture CASCaS will be used to predict human performance on the UI, in terms of task execution time, workload and possible human errors.
Using parallel computing to decompose the computational workload to accelerate the execution time, the message passing interface (MPI) paradigm is well suited for handling computations when a task is divided into subtasks.
Considering the characteristics of bioinformatics workloads which have long execution time, our GPU virtualization mechanism is focused on high GPU computation throughput, rather than sharing GPUs among VMs.
Makespan: the workload's end-to-end execution time after we determined the map/reduce slots to use for the workload's jobs.
Deadline: the constraint imposed by the user on the workload's end-to-end execution time.
Thus, the workload's end-to-end execution time depends on the slowest running job.
Finally, our automatic parameters configuration approach minimizes further the required budget and the workload's end-to-end execution time.
The Design Advisor has built-in workload compression for reducing the execution time of the Advisor without sacrificing quality in the solution.
The displayed Pareto points are optimal allocations with respect to both budget and workload's end-to-end execution time objectives.
With the above estimation, we compute the workload's end-to-end execution time as follows: text{Makespan} = text{max}_{j in text{Jobs}}{text{jtime}_{j}} (10).
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