Implemented a parallel version of Strassen's matrix multiplication algorithm using OpenMP directives in C/C++. The project aimed to leverage parallelism to improve the efficiency of large-scale matrix multiplication tasks. Developed a scalable parallel algorithm based on Strassen's matrix multiplication technique, utilizing OpenMP directives for parallelization. Optimized the code to efficiently distribute workload across multiple threads, achieving significant speedup compared to the sequential version. Conducted rigorous testing and performance analysis to evaluate the scalability and efficiency of the parallel implementation across various input sizes and hardware configurations. Documented the design, implementation details, and performance evaluation results comprehensively for future reference and potential publication.