Searching for Nvidia Cuda Double Precision Support information? Find all needed info by using official links provided below.
https://devtalk.nvidia.com/default/topic/412702/cuda-programming-and-performance/double-precision-support/
Sep 10, 2009 · I have a GTX260 that has double precision support, and have been using CUDA with double precision support for a while now, however, the Open CL conformant driver doesn't set the cl_khr_fp64 string in the device extensions. Does anyone know when a double precision variant of the NVIDIA OpenCL driver will be released?
https://devtalk.nvidia.com/default/topic/624598/double-precision-and-cuda/
Oct 21, 2013 · On the NVIDIA web site it is repeatedly stated that double precision is supported as of compute level 1.3. However, I can't figure out what exactly "supported" means. I have read on other forums that only a fraction of the GPU's resources support double precision operations. Can someone explain this to me?
https://www.nvidia.com/en-us/data-center/v100/
NVIDIA ® V100 Tensor Core is the most advanced data center GPU ever built to accelerate AI, high performance computing (HPC), data science and graphics. It’s powered by NVIDIA Volta architecture, comes in 16 and 32GB configurations, and offers the performance of up to 32 CPUs in a single GPU. Data scientists, researchers, and engineers can ...
https://www.nvidia.com/content/cudazone/CUDABrowser/downloads/papers/DoublePrecision-CFD-Cohen-parCFD09.pdf
The NVIDIA Quadro FX5800 card consists of a single GT200 GPU with 240 cores and 4GB of memory. GT200 supports IEEE-compliant double precision math with peak throughput of 87 GFLOPS/sec.
https://www.nvidia.com/en-us/drivers/tesla-abaqus-accelerations/
GPUs provide savings in time, costs, and free up CPU resources for other tasks. The new NVIDIA® Quadro® GV100 combines unprecedented double precision performance with 32 GB of high-bandwidth memory (HBM2), so users can conduct simulations during the design process and gather realistic multi-physics simulations faster than ever before.
https://www.nvidia.com/en-us/support/
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