Function Pointers, a sample that shows how to use function pointers to implement the Sobel Edge Detection filter for 8-bit monochrome images.Conjugate Gradient Solver, demonstrating the use of CUBLAS and CUSPARSE in the same application.
#Best free c compiler for windows 7 64 bit code
Several code samples demonstrating how to use the new CURAND library, including MonteCarloCURAND, EstimatePiInlineP, EstimatePiInlineQ, EstimatePiP, EstimatePiQ, SingleAsianOptionP, and randomFog.New NVIDIA System Management Interface (nvidia-smi) support for reporting % GPU busy, and several GPU performance counters.Support for memory management using malloc() and free() in CUDA C compute kernels.Support for debugging GPUs with more than 4GB device memory.NVCC support for Intel C Compiler (ICC) v11.1 on 64-bit Linux distros.Expanded cuda-memcheck support for all Fermi architecture GPUs.Multi-GPU debugging support for both cuda-gdb and Parallel Nsight.New support for enabling high performance Tesla Compute Cluster (TCC) mode on Tesla GPUs in Windows desktop workstations.Support for new 6GB Quadro and Tesla products.H.264 encode/decode libraries now included in the CUDA Toolkit.New CURAND library of GPU-accelerated random number generation (RNG) routines, supporting Sobol quasi-random and XORWOW pseudo-random routines at 10x to 20x faster than similar routines in MKL.New CUSPARSE library of GPU-accelerated sparse matrix routines for sparse/sparse and dense/sparse operations delivers 5x to 30x faster performance than MKL.CUFFT performance tuned for radix-3, -5, and -7 transform sizes on Fermi architecture GPUs, now 2x to 10x faster than MKL.CUBLAS performance improved 50% to 300% on Fermi architecture GPUs, for matrix multiplication of all datatypes and transpose variations.
Release Highlights New and Improved CUDA Libraries Individual code samples from the SDK are also available.
0 kommentar(er)
