ANSYS Acceleration on Tesla GPUs NVIDIA and ANSYS have collaborated to deliver the power of GPU computing for ANSYS customers. Available in the latest release of ANSYS R13, 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 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. Recent performance studies conducted by Hewlett-Packard engineers working together with ANSYS demonstrated that the Tesla C2075 GPU acceleration of an Intel Xeon 5650 (Westmere) CPU with 2 cores was greater than 3x and for 4 cores greater than 2x, and for ANSYS models of relevance to industry practice.   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. TESLA BENEFITS           RECOMMENDED CONFIGURATIONS 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     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 C2075 Quadro 400 for compute and pre/post Servers > Existing System vCORE Express 2075 (3GB) for < 3M DOF > 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 C2075 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, click here.