Hfss Cuda Support

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ANSYS NVIDIA

    https://www.nvidia.com/en-us/data-center/gpu-accelerated-applications/ansys/
    ANSYS 19 Remote Display and Virtual Desktop Support ANSYS 18 capabilities chart ANSYS 18.2 - GPU Accelerator & Co-Processor Capabilities ANSYS 18.2 - Remote Display and Virtual Desktop Support GPUs speed the solution of complex electromagnetic simulation with ANSYS HFSS Installed Antenna Performance Modeling on Electrically Large Platforms

GPUs Speed the Solution of Complex Electromagnetic Simulation

    https://www.ansys.com/About-ANSYS/advantage-magazine/Volume-VIII-Issue-3-2014/gpus-speed-the-solution-of-complex-electromagnetic-simulation
    With advances in GPU acceleration, more than four teraflops of computing power can be achieved on a single GPU that consumes less than 240 watts of electric power. Release 15 of the ANSYS electromagnetics suite enables engineers to leverage NVIDIA® CUDA™ technology for GPU computing to accelerate the HFSS transient solver.

GPU Accelerator and co-processor Capabilities

    https://www.ansys.com/-/media/Ansys/corporate/files/pdf/solutions/it-professionals/platform-support/gpu-accelerator-co-processor-capabilities-172.pdf?la=en&la=en
    ANSYS HFSS supports NVIDIA Tesla C20-Series, ... Quadro K-Series (K5000 and above). ANSYS ICEPAK supports NVIDIA's CUDA-enabled Tesla and Quadro series workstation and server cards. ANSYS Maxwell supports NVIDIA Tesla C20-Series, Tesla ... * Used in support of the CPU to process certain calculations and key solver computations for faster ...

GPU Acceleration of HFSS Transient - NVIDIA

    http://on-demand.gputechconf.com/gtc/2015/presentation/S5183-Hsueh-Yung-Chao.pdf
    GPU Acceleration of HFSS Transient Hsueh-Yung (Robert) Chao, Stylianos ... • Optimization of CUDA programs for HFSS Transient ... Note: HFSS Transient detects cases not suitable for GPU acceleration and falls back to CPUs. Dipole_v 16, 21K PecMine, 32K BenchM

What cards for Ansys? Hardware questions - NVIDIA ...

    https://devtalk.nvidia.com/default/topic/480093/what-cards-for-ansys-hardware-questions/
    Mar 28, 2018 · I am totally new to CUDA and parallel processing but am interested in it for a program I use. I am looking to build a new Workstation for use with Solidworks and CATIA design software, as well as Ansys simulation and analysis software.

Ansys Fluent GPU Acceleration NVIDIA

    https://www.nvidia.com/en-us/data-center/gpu-accelerated-applications/ansys-fluent/
    NVIDIA partnered with ANSYS to develop a high-performance, robust and scalable GPU-accelerated AMG library. We call the library AmgX (for AMG Accelerated). Fluent uses AmgX as its default linear solver, and it takes advantage of a CUDA-enabled GPU when it detects one.

Running HFSS on a GPU - Forum for Electronics

    https://www.edaboard.com/showthread.php?240163-Running-HFSS-on-a-GPU
    Nov 05, 2012 · HFSS does not support GPU acceleration. As of Release 14, various other ANSYS products do support GPU acceleration, but not HFSS. ... Running HFSS on a GPU Yep, the problem with GPUs is that they can have 8 Gb of onboard memory on every card, but in most cases they are mirrored. So, with 4x8Gb you still get 8 Gb + synchronization penalty on ...

Stan Posey, CAE Industry Development ... - support.ansys.com

    https://support.ansys.com/staticassets/ANSYS/Conference/Chicago/downloads/ANSYS%20Software%20and%20GPU%20Computing%20-%20Stan%20Posey.pdf
    NSYS Announcement of NVIDIA CUDA Support "This initial development for GPU computing demonstrates our focus on evolving ANSYS software to take advantage of important technology trends in high‐performance computing." said Dipankar Choudhury, vice president of corporate product strategy and planning at ANSYS.

Ansys Mechanical APDL, GPU acceleration

    https://studentcommunity.ansys.com/thread/ansys-mechanical-apdl-gpu-acceleration/
    Sep 17, 2019 · Hello, Can anyone tell me how to enable or activate GPU acceleration on Ansys Mechanical APDL 18.2 ? I have

CUDA GPUs NVIDIA Developer

    https://developer.nvidia.com/cuda-gpus
    Recommended GPU for Developers NVIDIA TITAN RTX NVIDIA TITAN RTX is built for data science, AI research, content creation and general GPU development. Built on the Turing architecture, it features 4608, 576 full-speed mixed precision Tensor Cores for accelerating AI, and 72 RT cores for accelerating ray tracing. It also includes 24 GB of GPU memory for training neural networks with large batch ...



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