
Xstream GPU Acceleration
Built-in EM Simulation Acceleration
XStream tremendously 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 -- from 30 to 300 times faster than a modern 64-bit CPU. Remcom's new generation of XStream enables XF7 calculations to finish in minutes as compared to hours using a CPU only. And now XStream capability is bundled at no additional cost with XF7.
Licensing:
A license to employ a single GPU for EM computation is included in both XF7 Pro and XF7 Bio-Pro, with additional capability for multiple GPUs available as a purchased option. Contact Remcom for details.
Technical Specifications:
XStream requires a CUDA capable GPU. Remcom recommends NVIDIA CUDA-enabled Quadro FX or Tesla series GPUs. For specific details, please visit NVIDIA's website.
Custom Configured Hardware:
Remcom’s partners can provide customers with custom XFdtd systems outfitted with the latest in graphics processing unit (GPU) technology. These Remcom-certified systems optimize XFdtd’s performance by building the recommended GPUs directly into the product.
While a custom-engineered system is not necessary for using XStream, these offerings deliver cluster level computing performance -- up to 300 times faster than standard PCs and workstations -- for those users that prefer additional power.
Current offerings include:
- Cluster level computing performance
- Up to 300 times faster than a standard PC
- Up to four NVIDIA Tesla series or Quadro FX GPUs
- 4GB high speed memory per GPU
- Windows Vista, Windows XP or Linux operating system at 64 bit
Please contact Remcom for a quote on these exceptional systems
Download the Quantum GPU Workstation flyer from our partner Exxact Corporation
Whitepaper:
Download our whitepaper on GPU acceleration technology and how it can enhance EM simulation performance. The paper discusses how GPU acceleration works and shows various examples of application speed-ups using XStream. Download the free paper.




