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http://www.herikstad.net/2009/05/cuda-and-double-precision-floating.html
May 05, 2009 · By default CUDA has double support disabled, this entails that all doubles are silently converted into floats inside kernels and any double precision calculations computed are incorrect. To enable the use of doubles inside CUDA kernels you first need to make sure you have a CUDA Compute 1.3-capable card.
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://scicomp.stackexchange.com/questions/6853/do-currently-available-gpus-support-double-precision-floating-point-arithmetic
Compounding the weirdness, Tesla K10s have Ge Force-level double-precision support. And most recently, this got thrown into complete disarray by the introduction of the Ge Force GTX Titan, which has full double-precision support and many CUDA features only present on Tesla models up to now. A GTX Titan costs ~$1,000 - a screaming bargain IMO.
https://devblogs.nvidia.com/new-features-cuda-7-5/
Jul 08, 2015 · Figure 2: Before CUDA 7.5, the NVIDIA Visual Profiler supported only kernel-level profiling, showing performance and key statistics and limiters for each kernel invocation. Click for full resolution. CUDA 6 added support for more detailed profiling, correlating lines of code with the number of instructions executed by those lines, as Figure 2 ...
https://en.wikipedia.org/wiki/CUDA
CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing – an approach termed GPGPU (General-Purpose computing on Graphics …License: Proprietary
https://developer.nvidia.com/cuda-gpus
Recommended GPU for Developers NVIDIA TITAN RTX NVIDIA TITAN RTX is built for data science, AI research, content creation and general GPU development. Built on the Turing architecture, it features 4608, 576 full-speed mixed precision Tensor Cores for accelerating AI, and 72 RT cores for accelerating ray tracing. It also includes 24 GB of GPU memory for …
https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html
While new versions of the CUDA platform often add native support for a new GPU architecture by supporting the compute capability version of that architecture, new versions of the CUDA platform typically also include software features that are independent of hardware generation.
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