This week Nvidia announced that 70 more widely used applications have added support for GPU acceleration so far this year, bringing the total number available to researchers, engineers and designers to more than 200.
GPU computing first gained momentum among researchers who could download CUDA to accelerate their own applications for scientific discovery and research,” said Addison Snell, chief executive officer of Intersect360 Research. “We are now in a new era where more commercial software is GPU-optimized, providing accelerated options across the full spectrum of engineering and business computing.”
Three of the newest applications to offer GPU acceleration are:
- ANSYS Fluent: ANSYS Fluent enables engineers to develop more aerodynamic cars and planes, which can save millions of dollars in fuel costs, or improve thermal management and reliability of electronic integrated circuit packages. ANSYS Fluent has added a new beta solver with single GPU support to its market-leading NVIDIA® CUDA® applications, including ANSYS Mechanical™.
- MSC Nastran: Used by nearly every automotive manufacturer worldwide, MSC Nastran is a GPU-accelerated structural mechanics simulation application that helps optimize noise, vibration and harshness (NVH) performance, which are among the most often directly perceived quality attributes of a vehicle
- CHARMM: Widely used by scientists to study biological processes at the molecular level, CHARMM’s GPU acceleration enables a more accurate study of key proteins involved in disease, as well as interactions with drug candidates, as a means to develop more effective treatments.