
NVIDIA Blog: NVIDIA cuDSS Now Generally Available to Accelerate Engineering and Scientific Simulations
NVIDIA cuDSS, launched today in general availability, is an NVIDIA CUDA-X library that shifts a critical part of engineering and scientific simulations onto GPUs. Complex engineering feats — from advanced chips to aircraft to industrial systems —– depend on simulation to predict how designs will perform before they’re built. As designs become more complex, simulations take longer to run, increasing computing demands and limiting the number of ideas teams can test. NVIDIA cuDSS accelerates solvi
NVIDIA cuDSS is a GPU library designed to speed up a mathematically intensive step in engineering and scientific simulations. Engineering and scientific work relies on simulations to test how designs will perform, but as designs grow more complex, simulations take longer and limit how many design variations teams can explore. By moving sparse system solving from CPUs to GPUs, cuDSS reduces simulation time and allows teams to test more designs, explore larger models, and examine a wider range of options at lower cost. The tool integrates into existing engineering software through multiple programming interfaces and can scale from individual workstations to large computing clusters.
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Also reported by MarkTechPost and SiliconANGLE

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