An Efficient Parallel Algorithm for Spatial Conjunctions Based on Distance - IT Assignment Help

Assignment Task:

The aim of the work is to develop an efficient parallel algorithm for spatial conjunctions based on distance.

Specifically, the problem is defined as follows:

Given two spatial sources of spatial data A and B, calculate all pairs of entities (α, β) - belonging to sets A and B respectively - that are at a distance θ, ie: d(α, β) <= θ. The distance θ is an input parameter and is therefore not known from the beginning. The same applies to sets A and B, except for the shape (line drawing of files) that is considered known. In the simplest version of the problem, the two sources are disk files in which spatial data is stored (but you can deal with more complex data).

In order to implement an efficient parallel algorithm to solve the above problem, careful planning of the solution that will take into account the following is required:

• Break down the processing into independent sections that can be executed independently of each other and merge the results to produce the correct result.

• Load balancing: the independent data sections that will be created should be as large as possible, so that their processing can be completed by the parallel processes in almost the same time.

• Effective coupling processing: the algorithm that calculates the coupling in each of the independent data sections should be efficient both in theory (as a function of its inputs) and in practice (as implementation).

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