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A capacity allocation problem is also studied in [136], in which a game-theoretic method is used to find approximated solutions for a resource allocation problem in the presence of tasks with multiple dependent subtasks.
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The work available in literature, by and large, focuses on the scheduling of 'metatasks' (set of independent tasks with only few data dependent subtasks) in such an environment.
Our results indicate that attacks against a single weak link can impact multiple dependent domains.
As it was exploratory, it had multiple dependent variables.
A QoS-aware resource-allocation multiple cooperative subtasks of jobs in cloud-based computing and data store services are investigated in [36].
Each replication method provided by GiGi-MR is based on a different data partitioning technique, which consists of dividing a task into multiple subtasks that execute separately.
A scalable parallel implementation is developed by using the MapReduce paradigm in GridGain which allows the splitting of a task into multiple subtasks, the parallel execution of these subtasks in parallel and the aggregation of the partial results into a single, final result.
For example, SAGA-Pilot, as default, takes multiple subtasks as a single pilot job and executes them by using all cores available at the moment.
GPUs are especially well suited to address data parallel computation problems that the same program is executed on a large number of data elements in parallel especially for those tasks which can be split into single instruction, multiple data (SIMD) subtasks.
The first task can be viewed as the preliminary step of the second one, and they can all be treated as text classification for binary classes (Subtask 1) and for multiple classes (Subtask 2).
(a) The parallel dynamical nuclear polarization dynamics with microwave driving fields of multiple time-dependent frequencies.
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