Add support for parallel backtracking and interval tree algorithms

[ozfive]

In order to enhance scalability and expedite computations, I aim to introduce parallel implementations for backtracking and interval tree algorithms.

Backtracking, a widely utilized method for traversing search spaces, can benefit from parallelization as it enables modern multi-core processors to accelerate the search process. Likewise, the interval tree algorithm, known for its efficacy in conducting range queries on substantial datasets, can see significant performance improvements through parallelization.

Integrating parallel backtracking and interval tree algorithms into this project holds the potential to significantly enhance its efficiency and capacity to handle larger datasets, ultimately benefiting the overall project performance.