在gpu架构中,每个sm都有自己的一块独立的存储,cuda中L1 cache和shared memory共用这块存储,它们会有一个默认的配置大小,不同架构可能不一样,例如在Volta架构中,一个sm的这块独立存储大小是96KB,默认分配情况下,有32KB是用来做L1 cache的,64KB作shared memory大小,就是说一个block可申请的shared memory在默认情况下...
However, if two addresses of a memory request fall in the same memory bank, there is a bank conflict and the access has to be serialized. The hardware splits a memory request with bank conflicts into as many separate conflict-free requests as necessary, decreasing throughput by a factor equa...
c++图像算法CUDA加速 文章中一些概念目前理解不是很深,暂时当作笔记。 1 共享内存(Shared Memory) 共享内存比本地和全局内存快得多。共享内存是按线程块分配的,因此块中的所有线程都可以访问相同的共享内存。线程可以访问同一线程块内的其他线程从全局内存加载的共享内存中的数据。如图所示,每个线程块都有一个共享内存...
A CUDA-shared-memory status request is made with an HTTP GET to the status endpoint. In the corresponding response the HTTP body contains the response JSON. If REGION_NAME is provided in the URL the response includes the status for the corresponding region. If REGION_NAME is not provided ...
cuda中的shared memory的使用方法 1、在CUDA存储器架构中,数据可以通过8种不同的方式进行存储与访问: 寄存器(register)、局部存储器(local memory)、共享存储器(shared memory)、常量存储器(constant memory)、纹理存储器(texture memory)、全局存储器(global memory)、主机端存储器(host memory)、主机端页锁定内存(...
CUDA SHARED MEMORY shared memory在之前的博文有些介绍,这部分会专门讲解其内容。在global Memory部分,数据对齐和连续是很重要的话题,当使用L1的时候,对齐问题可以忽略,但是非连续的获取内存依然会降低性能。依赖于算法本质,某些情况下,非连续访问是不可避免的。使用shared memory是另一种提高性能的方式。
CUDA学习之二:shared_memory使用,矩阵相乘 CUDA中使用shared_memory可以加速运算,在矩阵乘法中是一个体现。 矩阵C = A * B,正常运算时我们运用 C[i,j] = A[i,:] * B[:,j] 可以计算出结果。但是在CPU上完成这个运算我们需要大量的时间,设A[m,n],B[n,k],那么C矩阵为m*k,总体,我们需要做m*n*k...
// CUDA内核:使用curand生成随机数,初始化矩阵 // __global__ void init_matrix(int *a, int N, int M) { // int idx = threadIdx.x + blockIdx.x * blockDim.x; // int idy = threadIdx.y + blockIdx.y * blockDim.y; // if (idx < N && idy < M) { ...
Shared Memory Example Declare shared memory in CUDA C/C++ device code using the __shared__ variable declaration specifier. There are multiple ways to declare shared memory inside a kernel, depending on whether the amount of memory is known at compile time or at run time. The following complete...
Declare shared memory in CUDA Fortran using thesharedvariable qualifier in the device code. There are multiple ways to declare shared memory inside a kernel, depending on whether the amount of memory is known at compile time or at runtime. The following complete code example shows various methods...