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We performed an analysis of simulation time and memory use for our models.
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We use the nearest map and the coverage map to reduce the graphics memory used for the temporal shadow map.
Thus, the total amount of memory required for the embedded quantizer is slightly less than twice of the memory used for the initial codebooks.
The graphics memory used for the temporal shadow map relies on the number of visible time ranges stored at each pixel.
Memory comparisons and performance comparisons are shown from Figs. 9 to 12. Graphics memory used for the temporal shadow map in our algorithm is varied from low to high when increasing moving speed of cubes, Figs. 9 and 11.
Moreover, as attack detection is not the main role of the router, which can provide many other functions such as prioritization and quality of service, the amount of memory used for attack detection has to be very small.
Table 7 shows the size of the test graphs, the time spent on the graph exploration phase, the number of CPU cores and the amount of memory used for graph exploration, the time spent on cluster merging phase, the number of clusters that the LRW algorithm finds and the Rand index of the clustering results.
Indeed the finding that the disruption of memory was greatest when concurrently carrying out the mental displacement of blocks for both CBS and BRV subjects compared to concurrently carrying out mental arithmetic tasks, strongly suggests that the tactile subsystem of working memory used for Braille is most likely spatial in nature.
The combined total memory used for the distance matrix was 59.8 or 2.6 GB per node.
If matings are done within herd, the memory used for one herd can be reused for the next herd to keep memory requirements low.
Thus, the multiplier for the number of stage computations is T/ N=5242/2864≈1.83 for memory use M/ N=486/2864≈17%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com