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The approaches include: (i) splitting by coils using a distributed memory approach, (ii) splitting by physical domain using a distributed memory approach, (iii) splitting by physical domain using hybrid distributed/shared memory approach and (iv) splitting by both coils and physical domain using multi-level distributed and shared memory approaches respectively.
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Based on the analysis of memory requirements for storing both semantic and perceptual data, a dual memory approach, comprising a semantic memory and a perceptual memory, was adopted.
Also, Graphcore supports an on-die interconnect and a "memory in processor" (on-die memory) approach that could result in excellent application performance beyond that which the TFlops benchmark would imply.
The Channel Memory approach provides the infrastructure for scalable tolerance to simultaneous faults.
We visualized the fate of LADs in single cells using a "molecular contact memory" approach.
A unique short-term memory approach is implemented to avoid repeated request for user's feedback on the same, already approved, and retrieved relevant images.
The memory approach is employed to lessen the number of fitness function evaluations for the identical design individuals that appear during the search.
The shared memory approach is superior to message passing on every instance.
Other articles choose a cache memory approach for tackling the MC problem in H.264 decoders.
MNS3 has the same parameters as MNS2, but MNS3 was implemented using the shared memory approach (see subsection 3.2).
The multiple bank memory approach can also be applied to other watershed architectures such as those proposed in [10 13, 15].
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