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This is a Quantitative Study study.

Solving Linear Systems of Equations with Block Skyscraper Structure

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Proposed algorithm reduces execution time in systems of linear equations using parallel algorithms on shared-memory systems.

The algorithm shows significant execution time reduction with increased processor cores, enhancing performance in linear systems.
Tests on a modern computational cluster confirm stable scalability and efficiency, demonstrating the algorithm's potential in engineering applications.
Optimizations in workload distribution among cores lead to improved acceleration coefficients in solving systems of linear algebraic equations.
The study highlights the importance of block sizes in computations, indicating their impact on performance in resource-intensive tasks.

Sidoruk et al. (2025) studied this question.

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