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To perform the proposed approach, the processor reads from the shared memory one of the two rectified images.
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But the "Von Neumann bottleneck" describes the slowdown in performance that comes from that approach, with the processor tightly managing data input and output.
The benefit of this approach is that the processor activity remains focussed on the datapoints that need processing and, moreover, that the load can be distributed over many processors, even in a heterogeneous computer architecture.
The results showed that the CPF approach reduces both the processor utilization and memory consumption of the central server by 15.1% and 16.5 MB, respectively, than the conventional client/server approach in our prototype implementation.
In order to derive a regular systolic array architecture with minimum number of nodes, we employ the linear projection approach for processor assignment following the methodology developed in [21, 22], that is, the nodes of the DG in a certain straight line are projected onto the corresponding PEs in the processor array represented by the corresponding projection vector.
In order to simplify the presentation, we only develop the fuzzy logic approach for the CPU processor load as core compute resource, linked to performance at the service level.
Poellabauer et al. have developed a feedback-based DVFS approach that aims to reduce the processor speed during input-output (IO) intensive phases where the maximum processor speed cannot be fully exploited [13].
This approach gives some indication of the processor and information exchange load required to support routing table management under various alternatives.
As the models described earlier suggest, the Opteron follows the split cache approach where each core in the processor has its own L1 and L2 cache; thus no part of the cache is shared between the two cores.
Plus, Intels "platform" approach to processor marketing, which involves the design of multiple chips into a "chip set" tuned for particular characteristics like best performance at lowest energy usage and coolest operation, should entice both manufacturers and consumers to choose its processors over those of its prime competitor.
Mr. Otellini announced that Intel would begin shipping quad-core processors for both high-end PC's and servers in November, at least six months before quad-core processors are due from A.M.D. Advanced Micro was first to make dual-core chips, featuring two processors, an approach the industry has taken in recent years to gain performance without increasing PC energy consumption.
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