Sum of array elements collapse all in pageSyntax S = sum(A) S = sum(A,"all") S = sum(A,dim) S = sum(A,vecdim) S = sum(___,outtype) S = sum(___,nanflag)Description S = sum(A) returns the sum of the elements of A along the first array dimension whose size does not...
S = sum(A) returns the sum of the elements of A along the first array dimension whose size does not equal 1. If A is a vector, then sum(A) returns the sum of the elements. If A is a matrix, then sum(A) returns a row vector containing the sum of each column. If A is a ...
S = sum(A)returns the sum of the elements of A along the first array dimension whose size does not equal 1. IfAis a vector, thensum(A)returns the sum of the elements. IfAis a matrix, thensum(A)returns a row vector containing the sum of each column. ...
This MATLAB function returns the sum of the elements of A along the first array dimension whose size does not equal 1.
power_of_two(int x) { int power = 1; while (power < x) { power *= 2; } return power; } void parallel_block_scan_gpu(int *data, int *prefix_sum, int N) { int *d_data, *d_prefix_sum; size_t arr_size = N * sizeof(int); cudaMalloc(&d_data, arr_size); cudaMalloc(...
(h_B); // part 2: using zerocopy memory for array A and B // allocate zerocpy memory CHECK(cudaHostAlloc((void **)&h_A, nBytes, cudaHostAllocMapped)); CHECK(cudaHostAlloc((void **)&h_B, nBytes, cudaHostAllocMapped)); // initialize data at host side initialData(h_A, nElem)...
For large arrays on a GPU running CUDA, this is not usually the case. Instead, the programmer must divide the computation among a number of thread blocks that each scans a portion of the array on a single multiprocessor of the GPU. Even still, the number of processors in a multiprocessor...
l 使用structure of array(SOA)而不是AOS, l 使用__align(x)对齐数据, l 或者使用shared memory来协作访问。 l Coalescing float3 access说明如何使用shared memory进行Coalesced access。 寄存器作用: l GPU的设计理念是大量并行多线程隐藏延迟,因此在一个SM上配置了大量寄存器。
The scan operation is a simple and powerful parallel primitive with a broad range of applications. In this chapter we have explained an efficient implementation of scan using CUDA, which achieves a significant speedup compared to a sequential implementation on a fast CPU, and compared to a ...
A = 2×3 logical array 1 0 1 1 1 0 Find the cumulative sum of the rows of A. Get B = cumsum(A,2) B = 2×3 1 1 2 1 2 2 The output has type double. Get class(B) ans = 'double' Reverse Cumulative Sum Copy Code Copy Command Create a 3-by-3 matrix of rando...