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Potentiality of exploiting huge parallelism, with the expense of low power, simpler circuit, less silicon area, is the main characteristic of a dataflow model.
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It's designed with huge volumes and massive parallelism in mind: think RAID for thousands of drives.
Two major advantages of DNA computing – huge memory capacity and high parallelism – are being explored for large-scale parallel computing, mass data storage and cryptography.
This is called parallel construction, or parallelism, and in this example it's working just fine.
It discusses parallelism; one can get a huge boost in power if the database can break a statement into disjoint sets, hand each part to its own processor, and then UNION the results back together.
In order to achieve parallelism, framework library splits the huge input data set into multiple chunks of typically 16 64 MB based on configuration provided [34].
However, this level of parallelism is not relevant due to the huge area overhead of such an approach (all memories and computation resources are duplicated).
Implementations for molecular dynamics on parallel computers generally use either particle parallelism or geometric parallelism.
In the advanced versions of these approaches for developing highly predictive models, one have to generate a huge set of descriptors that in turn requires well-designed algorithms and high-quality parallelism.
Parallelism problem.
A parallelism problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com