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NVIDIA GPUs Accelerate SIMULIA’s Abaqus FEA Solver
NVIDIA GPUs Accelerate SIMULIA’s Abaqus FEA Solver
NVIDIA and SIMULIA, the Dassault Systèmes brand for Realistic Simulation, have collaborated to deliver the power of GPU computing for Abaqus customers. Available in the Abaqus 6.11 release, NVIDIA GPU acceleration enables faster results for more efficient computation and job turnaround times, delivering more license utilization for the same investment.
Innovate Faster with GPU-Accelerated Abaqus FEA:
> Abaqus 6.11 for structural response simulations
Dassault Systèmes Press Release, 18 May 2011: Dassault Systèmes Delivers New, Innovative Realistic Simulation Technology in SIMULIA's Abaqus 6.11 Release
NVIDIA Press Release: Dassault Systèmes Accelerates Computer-Aided Engineering by Using NVIDIA GPUs
> Abaqus presentations at the GTC 2010 and NAFEMS 2011 World Congress:
Acceleration of SIMULIA's Abaqus Solver on NVIDIA GPUs by Acceleware, Ltd.
Accelerating Innovation with Realistic Simulation by SIMULIA.
Accelerating Commercial Linear Dynamic And Nonlinear Implicit FEA Software Through High-Performance Computing by SIMULIA and Acceleware, which shows a range of models and related speed-ups
Recent performance studies conducted together with SIMULIA engineers demonstrated that the Tesla C2070 GPU acceleration of an Intel Xeon 5680 (Westmere) CPU with 2 cores greater than 2.6x and for 4 cores greater than 2x.
Source: Abaqus 6.11 Overview, Eric Weybrant, Product Manager, SIMULIA
RECOMMENDED PROFESSIONAL PRODUCTS
The powerful GPU computing capabilities in Abaqus were developed on NVIDIA Tesla and Quadro GPU computing products 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 and Quadro 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; recommend 4 CPU cores per GPU
Total 32-48 GBs of CPU memory
Disk with minimum 500 GB
> GPU OPTIONS
Tesla C2050 or Tesla C2070
Quadro 400 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
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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