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GPU Computing Guide

GPU Computing Guide

updates.cst.com

CST Studio Suite supports Hardware Acceleration for various Solvers and GPUs. In combi-nation with NVIDIA GPUs many different kind of Solvers and GPUs are supported. Please check the tables below for more details. Starting with CST Studio Suite 2021 also selected AMD GPUs are supported to accelerate the Time Domain Solver only.

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Featuring Pascal GP100, the World’s Fastest GPU

Featuring Pascal GP100, the World’s Fastest GPU

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a number of years, most recently Deep Learning has become a very important area of focus for GPU acceleration. NVIDIA GPUs are now at the forefront of deep neural networks (DNNs) and artificial intelligence (AI). They are accelerating DNNs in various applications by a factor of 10x to 20x compared to

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NVIDIA A100 Tensor Core GPU Architecture

NVIDIA A100 Tensor Core GPU Architecture

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NVIDIA® GPUs are the leading computati onal engines powering the AI revolution, providing tremendous speedups for AI training and inference workloads. In addition, NVIDIA GPUs accelerate many types of HPC and data analytics applications and systems, allowing customers to effectively analyze, vi sualize, and turn data into insights.

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nvidia-smi.txt Page 1

nvidia-smi.txt Page 1

developer.download.nvidia.com

-L, --list-gpus List each of the NVIDIA GPUs in the system, along with their UUIDs. QUERY OPTIONS-q, --query Display GPU or Unit info. Displayed info includes all data listed in the (GPU ATTRIBUTES) or (UNIT ATTRIBUTES) sections of this document.

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NVIDIA AMPERE GA102 GPU ARCHITECTURE

NVIDIA AMPERE GA102 GPU ARCHITECTURE

www.nvidia.com

GA10x GPU Hardware Acceleration for Ray-Traced Motion Blur 20 ... (Graphics Processing Unit) in 1999, NVIDIA GPUs have been at the forefront of 3D graphics and GPU -accelerated computing. Each NVIDIA GPU Architecture is carefully designed to provide breakthrough levels of performance and efficiency.

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