CUDA

[GPU Computing] NVIDIA CUDA Compute Capability Comparative Table. Updated on June 9, 2011: GTX 500 and CUDA 4.0 compute capabilities features.

The Compute Capability describes the features supported by a CUDA hardware. First CUDA capable hardware like the GeForce 8800 GTX have a compute capability (CC) of 1.0 and recent GeForce like the GTX 480 have a CC of 2.0. Knowing the CC can be useful for understanting why a CUDA based demo can’t start on your system. Here is a comparative table that will help you to know the CC of your NVIDIA graphics card: CUDA. CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce.[1] CUDA gives program developers direct access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs.

Using CUDA, the GPUs can be used for general purpose processing (i.e., not exclusively graphics); this approach is known as GPGPU. Unlike CPUs, however, GPUs have a parallel throughput architecture that emphasizes executing many concurrent threads slowly, rather than executing a single thread very quickly. Developer.download.nvidia.com/compute/cuda/4_0/toolkit/docs/CUDA_C_Programming_Guide.pdf. Release Notes The Release Notes for the CUDA Toolkit.

The End User License Agreements for the NVIDIA CUDA Toolkit, the NVIDIA CUDA Samples, the NVIDIA Display Driver, and NVIDIA NSight (Visual Studio Edition). Getting Started Guides.