This project focuses on optimizing matrix multiplication using static algorithms on multicores and GPUs, aiming to improve performance and efficiency in scientific computing and large-scale matrix computations.

Starpu_example_dgemm is a project that provides an example of how to use the StarPU scheduling and task programming library to optimize and parallelize matrix multiplication operations. It is designed to accelerate numerical computations and scientific simulations by taking advantage of multi-core and many-core architectures.