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We also investigate the optimization of the involved parameters to minimize the execution time.
Pandey et al. [9] attempted to minimize the execution cost of workflow on cloud computing environment.
The main design goal of this architecture is to minimize the execution time.
We minimize the execution time for this by parallelizing the operation using OpenMP.
The main goal of our implementation is to minimize the execution time and the used resources without affecting the performance.
Efficient use of computing resources to minimize the execution time requires a job dispatching algorithm that can appropriately determine the assignment of jobs.
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This paper proposes a new method for the problem of minimizing the execution time of nested for-loops using a tiling transformation.
For this reason, minimizing the execution time of each element is a crucial task which directly impacts the emulator performance.
More specifically, we identify task assignments that guarantee maximum utilization of resources while minimizing the execution time of tasks.
The reason for this is the fact that our algorithm minimizes the execution rounds and it increases the number of tasks only if we have a performance gain.
Moreover, it proposes new task assignment that guarantees maximum utilization of resources while minimizing the execution time of tasks for virtualized IVR applications.
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minimising the execution
reducing the execution
minimize the probability
minimize the conversation
minimize the weeping
minimize the fact
minimize the risk
minimize the pain
minimize the gluttony
minimize the damage
minimize the trauma
minimize the difficulty
minimize the impact
minimize the surprise
minimize the number
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CEO of Professional Science Editing for Scientists @ prosciediting.com