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We focused on creative indexing and data organization techniques, query processing algorithms and optimization strategies.
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From our experience on projects for industrial clients, an optimisation using the DMA, some programming techniques and data organization in the different memories, without even using the DSP, resulted in a speed increased by a factor of 40 compared the non-optimised C99 implementation on the same platform with a similarly regular algorithm.
Specifically, tiling techniques with the support of spatial database outperforms all other approaches, especially those adopting stacking techniques in the data organization.
Our work builds upon the existing techniques of graph databases, especially their data organization and computational models.
Several techniques have been recently proposed to exploit locality on both data organization and computational model in graph databases.
These implement a wide range of techniques, but appear broadly similar to the application developer, with some differences of interface and data organization.
Figure 1 Data organization.
Data organization and dissemination.
Therefore, we also assume such graph-specific data organization.
will be used to facilitate data organization.
The data organization were coducted using Microsoft Excel.
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