Software's Key Role in Getting the Most Out of Cloud's Computational Power

The discussion highlights the role of independent software vendors in optimizing parallel performance scalability for computational fluid dynamics (CFD) and finite element analysis (FEA) models, emphasizing software techniques over hardware. Convergent Science's CONVERGE CFD code employs Adaptive Mesh Refinement (AMR) to enhance solution accuracy and reduce computational costs, particularly in dynamic environments like internal combustion engines. AMR's effectiveness is supported by a load-balancing algorithm that prevents computational cores from idling, with customization options available for users. Meanwhile, LS-DYNA, a non-linear solver by Livermore Software Technology Corporation, addresses load imbalances in crash-test simulations through customizable domain decomposition, allowing users to distribute computational loads efficiently across cores. Both CONVERGE and LS-DYNA are accessible via Rescale, providing on-demand licensing and facilitating user-defined settings to optimize performance in complex simulations.