NVIDIA GPUs Accelerate Dassault Systèmes SIMULIA’s Abaqus/Standard FEA Solver
Abaqus is used on a single node with 2 Intel E5-2660 cpus (16 cores), 2 NVIDIA Tesla K20m GPUs, 128 Gb memory (Data Courtesy: SIMULIA)
|NVIDIA and SIMULIA, the Dassault Systèmes brand for Realistic Simulation, have collaborated to deliver the power of GPU computing for Abaqus customers. Available since 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.
Performance studies by NVIDIA clearly demonstrate the performance/$ value of GPU computing. GPUs provide savings in time, costs, and frees up CPU resources for other tasks.
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 K-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.
|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
> ECC memory
> Rigorous stress testing
> Abaqus QA testing
> Professional support network
> Large and growing developer community
> OEM system integration
> Long-term product lifecycle
> 3 year warranty
> Cluster & system management tools
> Windows remote desktop support
> New System Purchase
Each node with
>2 CPU sockets (6 to 8 cores each); recommend 1 GPU per CPU socket
GPU OPTIONS: 2x Tesla K40 or 1x K80
>Total 96 to 192 GBs of CPU memory
>Disk with minimum 2000 GB (scratch)
> New System Purchase
>Total 2 CPU sockets; recommend 1 GPU per CPU socket;
> GPU OPTIONS
>Total 48 GBs of CPU memory or more;
>Disk with minimum 500 GB
>Quadro K5200/M6000 for pre/post
OR a single GPU
>Quadro K6000 for compute and pre/post
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 SIMULIA Abaqus.
For a complete list of Tesla Preferred Providers, click here.