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GPU Applications

ANSYS

Computer-aided engineering (CAE) simulations enable engineers to design more virtual prototypes thereby spending less time building physical ones. More iterations leads to a higher quality finished product. GPUs further improve efficiency by accelerating simulation-time.

ANSYS and NVIDIA work closely to ensure the fastest performance for simulations running on ANSYS parallel software. NVIDIA GPUs support several products:
  • Mechanical: ANSYS Mechanical 14.5 supports a full feature set including use on multiple GPUs.
  • Fluids: ANSYS Fluent 14.5 offers a radiation heat transfer model on GPUs, along with a beta feature of an AMG solver on single GPU.
  • Electrical: ANSYS Nexxim 14.5 supports a full feature set.

ANSYS Mechanical 14.5 provides significant performance speedups when using the latest NVIDIA Tesla K20 GPU. See the performance results below.
ANSYS Fluent: The initial implementation of ANSYS Fluent 14.5 is designed to run on a single GPU, and in the future on a single node with multiple GPUs, or across multiple nodes with multiple GPUs in a cluster configuration. The graph below shows the solver time for each iteration for two unique ANSYS Fluent models. Both models utilize a GPU which results in faster completion of the solver.



Learn more about ANSYS by checking out:

Check out a demonstration that provides a preview of future multi-GPU capability in this CPU-only vs. CPU+GPU simulation of an external aerodynamic solution for an automotive sedan. (Fluent demo embedded)


Recommended Professional Products

The powerful GPU computing capabilities in ANSYS was developed on NVIDIA Professional GPUs. A CUDA-capable NVIDIA GPU (CUDA v4.2 or above) should be used. Suggested GPUs from the NVIDIA® Tesla® Kepler™ product family or NVIDIA® Quadro® Kepler product family are recommended.

NVIDIA GPU computing products are designed to deliver the highest computational performance to accelerate computations in ANSYS software.

Tesla Benefits

Highest Computational Performance
> High-speed double precision operations
> Large dedicated memory
> CUDA-Accelerated math libraries
> High-speed bi-directional PCIe communication
> NVIDIA GPUDirect™ with InfiniBand
Most Reliable
> ECC memory
> Rigorous stress testing
> ANSYS QA testing
Best Supported
> Professional support network
> Large and growing developer community
> OEM system integration
> Long-term product lifecycle
> 3 year warranty
> Cluster & system management tools
   (server products)
> Windows remote desktop support
 

Recommended Configurations

Servers
  • Total 4 CPUs with 6-8 CPU cores each
  • Total 4 x16 PCIe (one for each GPU)
  • Total 128 to 192 GBs of CPU memory
  • Disk with minimum 2000 GB (scratch)
  • 4 x Tesla K20 or Tesla K20X
Workstations
  • Total 2 CPUs with 6-8 CPU cores each
  • Total 48 GBs of CPU memory
  • SSD with minimum 1000 GB
> GPUs
  • Tesla K20 (Compute)
  • Quadro K6000 (Pre/post analysis)

NVIDIA Tesla and Quadro products are available from all major professional workstation OEMs. Only Tesla GPU computing products are designed and qualified for compute cluster deployment.

Buy Optimized Tesla Systems

NVIDIA partners with system vendors to provide optimal solutions that accelerate your HPC workloads. Buy now and enjoy all the benefits of GPU-acceleration on ANSYS.

For a complete list of Tesla Preferred Providers, go to the Tesla Where to Buy page.