Computer-Aided Engineering (CAE) simulations enable the development of new products faster and reliably through virtual prototyping.
More iterations and larger grid sizes allow to improve the accuracy and the quality of the simulations, leading to better products.
However, the computational and processing requirements are extremely demanding on traditional architectures, limiting the development turnaround time due to computing capacity constraints.
In this session we will share how HP and NVIDIA GPU technologies further improve productivity by accelerating the simulation workflow, thus helping reduce the product development times resulting in a competitive advantage.
The latest range of HP Z-series workstations is pushing the boundary for complex simulations and associated pre- and post-processing analysis tools, thanks to their design aimed at performance, reliability and expandability. NVIDIA, in turn, continues to deliver a portfolio of technological innovations in GPU computing relevant for CAE workflow, from high-end visualization including physically based rendering to virtualization and remotization of demanding graphics tasks.
More specifically to ANSYS 16, we present a few recent benchmarks highlighting the acceleration of Fluent and ANSYS Mechanical on the latest NVIDIA Tesla compute cards, achieving measurable workflow improvements for business objectives.