Thursday, August 1, 2013
Boosting simulation performance with GPU computing
CST STUDIO SUITE® supports GPU acceleration with the Nvidia® Tesla series of GPUs for the transient solver, the integral equation solver and the PIC solver. Multiple GPU cards can be used together for even greater speed-ups – either combined in one machine or distributed across a cluster – although PIC solver currently only supports one GPU per simulation. As part of an oPAC research network project, we’re currently developing a multi-GPU PIC solver, so watch this space!
One advantage of GPU computing is that it is very scalable. GPU cards are available for a wide range of computer types, from individual workstations up to servers for computing clusters. Distributed computing (DC) can both take advantage of GPU computing, as can MPI computing with the transient solver. The acceleration tokens in CST STUDIO SUITE can be used to choose the best combination of HPC techniques for each simulation. For further information about acceleration tokens, see the licensing guide.
The next blog post in this series will discuss MPI computing in more detail, and show how it can be used to simulate problems that are beyond the capabilities of a single computer.