template<typenameT>// 这边的 x 和 y 是上图灰色的左上角坐标__host___device__Tbilinear(cr_Ptr<T>a,floatx,floaty,intnx,intny){autoidx=[&nx](inty,intx){returny*nx+x;};// 双线性插值, 有四个像素会对结果产生贡献. 我们放宽了检查, 允许额外的 1 个像素宽// 这是安全的, 因为后面会...
CUDA 12.0dropped support用于传统纹理引用。因此，任何使用传统纹理引用的代码都无法再使用CUDA 12.0或...
Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {{ message }} ndd314 / cuda_examples Public Notifications You must be signed in to change notification settings Fork 41 Star ...
CUDA arrays cudaMallocArray(),cudaMalloc3D() • Cache optimized for spatial locality• Interpolation, wrapping, and clamping Writing to arrays from a kernel is not allowed. 2D pitch linear memory cudaMallocPitch() • Cache optimized for spatial locality• Interpolation, wrapping, and clamping...
CUDA application in the lifetime of the architecture!) Using texture objects, the overhead of binding (up to 1 μs) and unbinding (up to 0.5 μs) textures is eliminated. What is not commonly known is that each outstanding texture reference that is bound when a kernel is launched incurs...
Texture fetching is described in Texture Fetching. B.8.1. Texture Object API B.8.1.1. tex1Dfetch() 代码语言:javascript 复制 template<classT>Ttex1Dfetch(cudaTextureObject_t texObj,int x); fetches from the region of linear memory specified by the one-dimensional texture object texObj using in...
a cache and it can get polluted and in-efficient. C. You might want to use shared memory. i.e. if ‘size’ is not too big you can read everything into shared memory and then use that data instead of going to gmem/textures. Even if ‘size’ is big you can do it in chunks. ...
Type is equal to DataType except when readMode is equal to cudaReadModeNormalizedFloat (see Texture Reference API), in which case Type is equal to the matching floating-point type. B.8.2.12. tex1DLayeredLod() 代码语言:javascript 复制 template<class DataType, enum cudaTextureReadMode readMode>...
@NoorjahanSk_Intel Here I have a code that compiles, but I get a wrong output (is not the same as CUDA output). Translate test_2.dp.zip 0 Kudos Copy link Reply NoorjahanSk_Intel Moderator 09-20-2021 04:28 AM 5,481 Views Hi, We are working on it...
This paper presents a fast algorithm for texture-less object recognition, which is designed to be robust to cluttered backgrounds and small transformations. At its core, the proposed method demonstrates a two-stage template-based procedure using an orientation compressing map and discriminative regional...