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The phrase "parallel exploitation" is correct and usable in written English
It can be used in contexts discussing simultaneous or concurrent use of resources, strategies, or methods. Example: "The company engaged in parallel exploitation of multiple markets to maximize its reach and profitability."
Exact(4)
Economist Tyler Cowen describes this as the "parallel exploitation coffee sector".
In the last decade the progress achieved on the synthesis of inorganic nanostructures has been accompanied by the parallel exploitation of these systems in various fields, among them are biology and medicine.
In contrast with other approaches, the proposed technique does not require the generation of the, possibly huge, model of the entire system, typically, in order to yield a global diagnoser, but rather, it allows a modular and parallel exploitation of the reconstruction process.
According to this model, resources provision must consider the economic cost of the processes versus the use and parallel exploitation of available computing resources.
Similar(56)
Several levels of parallelism are exploited: a coarser level, where non-dominate sorting is evaluated in parallel on several GPUs, and finer level by means of data parallelism exploitation available in each stage of the McGM algorithm.
The parallel framework increases exploitation search of genetic algorithm.
Parallel with increased exploitation the number of cheaters a social colony can support decreases.
In the script by longtime Ken Loach associate Paul Laverty, the parallels between Columbus' exploitation of the indigenous population in Hispaniola and the natives battling for access to clean water are subtly handled.
The difference equations are solved by iterations in order to permit exploitation of parallel and vector computing methods.
The overall goal is to design a new algorithm which merges the performance of the best known sequential approach with the efficient exploitation of parallel calculation environments.
In the last decades, a significant boost in embedded computing systems performance has been observed in several different domains, mostly due to technology scaling and to the ever increasing exploitation of parallel processing architectures [1].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com