NVIDIA cuDSS Now Generally Available to Accelerate Engineering and Scientific Simulations

NVIDIA announced general availability of cuDSS, a CUDA-X library that moves the solving of large sparse systems—a repeated, math-heavy step in engineering and scientific simulations—onto GPUs to reduce time to results and increase simulation throughput. NVIDIA cites integrations including Applied Materials (up to 10x faster sparse solves in Ginestra), COMSOL with ZEISS SMT (a measured 4x speedup in an EUV lithography plasma benchmark), Cadence Celsius, Dassault Systèmes Abaqus (8-10x speedup), Siemens Simcenter STAR-CCM+, and Synopsys Sentaurus Device. cuDSS scales from workstations to clusters and offers C, C++, Python and Fortran interfaces.