Padding data in some cases, for example, when accessing a two-dimensional array as described in the section Two-Dimensional Arrays below. 这段文字解释了如何最大化全局内存吞吐量。 根据计算能力3.x,5.x,6.x,7.x,8.x和9.0,可以获得有关如何处理各种计算能力的全局内存访问的更多细节。因此,为了最大...
- A two-dimensional array containing pointers to memory locations where the result of each attribute query will be written to. dataSizes - Array containing the sizes of each result attributes - An array of attributes to query (numAttributes and the number of attributes in this array should ...
CUDA arrays are opaque memory layouts optimized for texture fetching. They are one dimensional, two dimensional, or three-dimensional and composed of elements, each of which has 1, 2 or 4 components that may be signed or unsigned 8-, 16-, or 32-bit integers, 16-bit floats, or 32-bit ...
The OpenGL scan computation is implemented using pixel shaders, and each a[d] array is a two-dimensional texture on the GPU. Writing to these arrays is performed using render-to-texture in OpenGL. Thus, each loop iteration in Algorithm 5 and Algorithm 2 requires reading from one textu...
CUDA arrayCUarrayOpaque container for one-dimensional or two-dimensional data on the device, readable via texture or surface references Texture referenceCUtexrefObject that describes how to interpret texture memory data Surface referenceCUsurfrefObject that describes how to read or write CUDA arrays ...
Each block within the grid can be identified by a one-dimensional, two-dimensional, or three- dimensional unique index accessible within the kernel through the built-in blockIdx variable. The dimension of the thread block is accessible within the kernel through the built-in blockDim variable. ...
https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/index.html 来阅读原文。 这是一本很经典的手册。 CUDA优化的冷知识 8 |GPU显存的特色 CUDA优化的冷知识9 |GPU显存的粒度 CUDA优化的冷知识10 | GPU卡和Jetson上显存优化的特色 CUDA优化的冷知识11 |一些规避的坑和优化的要点 ...
3.1 An example: adding up two arrays We consider a simple task: adding up two arrays of the same length (same number of elements). We first write a C++ program add.cpp solving this problem. It can be compiled by using g++ (or cl.exe...
In general, a grid is a three-dimensional array of blocks1, and each block is a three dimensional array of threads. From a code implementation perspective, these two three-dimensional arrays are both a dim3 type parameter, which is a C struct with three unsigned integer fields: x, y, an...
驱动程序 API在 cuda 动态库(cuda.dll或cuda.so)中实现,该库在安装设备驱动程序期间复制到系统上。 它的所有入口点都以 cu 为前缀。 它是一个基于句柄的命令式 API:大多数对象都由不透明的句柄引用,这些句柄可以指定给函数来操作对象。 驱动程序 API 中可用的对象汇总在下表中。