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ANSYS Acceleration on NVIDIA GPUs
ANSYS Acceleration on NVIDIA GPUs
Leading engineering organizations understand the importance of adopting simulation to decrease the number of physical prototypes they build in their product development process. Companies realize that time is money in making design decisions and the more design iterations you can simulate the better optimized your final product. As a result ANSYS has recently added support for GPU computing that can accelerate simulation times by 4x or more.
And now, by combining the latest release of ANSYS Mechanical with the new NVIDIA® Maximus™ technology, you can run simulations locally at your desk without impacting overall productivity.
Learn more on our Maximus workstation page.
Innovate Faster with GPU-Accelerated ANSYS Products:
> ANSYS Mechanical for structural response simulations
ANSYS Press Release, 21 Sep 2010: ANSYS Unveils GPU Computing for Accelerated Engineering Simulations
> ANSYS Nexim for electronics signal integrity analysis
ANSYS Presentation at NVIDIA GTC, 23 Sep 2010, San Jose, CA: Accelerating System Level Signal Integrity Simulation, by Dr. Ekanathan Palamadai, ANSYS, Inc.
RECOMMENDED PROFESSIONAL PRODUCTS
The powerful GPU computing capabilities in ANSYS were developed on NVIDIA Tesla GPUs and require the use of recent CUDA-capable NVIDIA GPUs, such as the Tesla 20-series products, and supporting CUDA v3.1 or above (learn more).
Tesla GPU computing products are designed to deliver the highest computational performance with the most reliable numerical accuracy, and are available and supported by the world's leading professional system manufacturers.
RECOMMENDED CONFIGURATIONS
Workstations
> Existing System
Tesla C2050 (3GB) for < 3M DOF
Tesla C2070 (6GB) for > 3M DOF
> New System Purchase
Total 6-8 CPU cores
Total 32-48 GBs of CPU memory
Disk with minimum 500 GB
> GPU OPTIONS
Tesla C2050 or Tesla C2070
Quadro FX380 for pre/post
OR a single GPU
Quadro 6000 for compute and pre/post
Servers
> New System Purchase
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 M2050 or Tesla M2070/M2075
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.
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