NVIDIA releases cuDSS library for gpu-accelerated sparse simulations
nvidia announced the general availability of cuDSS, a cuda‑x library that moves the sparse‑matrix solve step of engineering and scientific simulations onto GPUs. The library aims to cut simulation time and cost, letting users explore larger, more realistic models and a wider design space.
Key points
- nvidia cuDSS is now generally available as a cuda‑x library that accelerates large sparse system solves on GPUs.
cadence, siemens, and synopsys also integrated cuDSS into their respective simulation tools, extending GPU acceleration from workstations to large clusters via C, C++, python, and fortran interfaces.
NVIDIA cuDSS Now Generally Available to Accelerate Engineering and Scientific Simulations
NVIDIA Blog · 21 October 2026
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