lambda 函数有点像现代化的宏。比如#define idx(i,j) (i)*Bx+(j),这个例子效果一样。但宏的作用域太大了,而且还要注意i的括号,是因为怕传入i+1。总之,如果可以,推荐不用宏。 Tiled Matrix Multiplication 矩阵乘法通常被用来展示 CUDA 的共享内存有多么多么高效。原理是,对于固定的 k,A_ik 和 B_kj...
(可能这就是Tiled Matrix Multiplication的由来) Create Shared Memory 静态shared memory,使用__shared__限定符创建时就指定存储空间的大小 __shared__ float array[1024]; 1. 动态shared memory,不确定空间大小,需要动态申请时 extern __shared__ float array[1024]; 1. 需要在kernel函数调用时,指定申请的...
CUDA内存模型 Lectures 5: Locality and Tiled Matrix Multiplication 利用shared memory作为cache,增加数据访问速度: Kernel memory objects (eg., variables) declared as __shared__ are shared across all threads in the thread block and are allocated in the shared memory of an SM 。 本章节主要讲解了til...
(2) function gpu_square_matrix_mult: (!!! this is only for square matrix mutiplication) To increase the "computation-to-memory ratio", the tiled matrix multiplication can be applied. One thread block computes one tile of matrix C. Each thread in the thread block computes one element of ...
tiled matrix multiplication for large matrices and I had nice results on these cards, but on this given code, it isn’t given a slight increase … only worst performance … !! and my professor expects that I impress him with a speedup on a “two-node cluster” of these low end GPUs...
Bank conflict of tiled matrix multiplication 982630737 2022 年3 月 6 日 03:08 14 @Greg So currently is there any way to count the bank conflict exactly? It seems that for both my RTX-3090 or Telsa V100 GPU, the problem still exists. Using l1tex__data_bank_conflicts_pipe_lsu_mem_sha...
Performance optimizations in CUDA libraries for linear algebra, FFTs, and matrix multiplication. Updates to the Nsight product family of tools for tracing, profiling, and debugging of CUDA applications. Full support on all major CPU architectures, across x86_64, Arm64 server and POWER architectures....
Matrix-Matrix multiplication (BLAS GEMM) operations are at the core of neural network training and inferencing, and are used to multiply large matrices of input data and weights in the connected layers of the network. As Figure 3 shows, Tensor Cores in the Tesla V100 GPU boost the performance...
Once the data is loaded into a thread's local register file, gemm performs matrix multiplication using TensorCore's warp-level matrix multiply-and-accumulate (wmma) instruction on the BaseTiles. The specialized data distribution required by TensorCore is automatically maintained by TiledCUDA's Reg...
matrix multiplication kernel __global__ void MatMulKernel(const Matrix, const Matrix, Matrix); // Matrix multiplication - Host code // Matrix dimensions are assumed to be multiples of BLOCK_SIZE void MatMul(const Matrix A, const Matrix B, Matrix C) { // Load A and B to device memory ...