Built-in EM Simulation Acceleration via Graphics Processing Units

XStream highly improves EM simulation performance by leveraging the powerful NVIDIA graphics processing units (GPUs) available in modern video cards to make ultra-fast FDTD numerical computations. Using NVIDIA’s latest generation GPUs, XStream enables XF calculations to finish in minutes as compared to hours or even days using a CPU only.

XFdtd Simulation Throughput vs. Number and Type of Processor

XFdtd Chart

MPI + XStream for GPU Clusters

Exceptional performance is possible with XStream alone but is limited to the available resources of a single computer. Combining XStream with the power of MPI (Message Passing Interface) allows multiple computer nodes to work together using the memory and computing power of all GPUs in the group, massively increasing processing speed and available memory. Whether you want to pool existing resources for cost savings or accelerate problems you never thought possible, MPI + XStream provides you with the market’s leading technology.

XFdtd Simulation Throughput Using MPI + XSTREAM® GPU Acceleration

XFdtd Chart

Search results for:

pytorch vs dgl