The exaSIMPLE project addresses critical challenges in high-performance computing (HPC) and computational fluid dynamics (CFD). Led by Dr. Guilherme Vaz, exaSIMPLE embeds machine learning (ML) directly into CFD algorithms based…
As computational power moves towards the exascale era, the complexity of scientific simulations continues to increase. A key challenge facing many scientific applications is the efficient and accurate solution of…
As we approach the exascale era in high-performance computing, the need for innovative algorithms that can efficiently handle massive datasets and complex computations is increasing. The CBM4scale innovation study focuses…