Matrix Multiplication Cuda Example

10 Jul, 2021

Matrix multiplication in CUDA this is a toy program for learning CUDA some functions are reusable for other purposes. Implement matrix addition in CUDA C AB where the matrices are NxN and N is large.

Matrix Multiplication In Cuda Ppt Download

Int by blockIdxy.

Matrix multiplication cuda example. Also refer to the url removed login to view program which uses 2-dimensional arrays. But before we delve into that we need to understand how matrices are stored in the memory. What we have done is compute a single entry in a table showing the number of paths from C to J of length 4.

Execute the following cell to write our naive matrix multiplication kernel to a file name matmul_naivecu by pressing shiftenter. Random facts about NCSA systems GPUs and CUDA QP Lincoln cluster configurations Tesla S1070 architecture Memory alignment for GPU CUDA APIs Matrix-matrix multiplication example K1. On the other hand the.

P i j 0. A block of BLOCK_SIZE x BLOCK_SIZE CUDA threads. A i j 2i j 1 and b i j i 4j 2.

In the above example the width of the matrix is 4. Time elapsed on matrix multiplication of 1024x1024. Example of Matrix Multiplication Device multiplication function called by Mul Compute C A B wA is the width of A wB is the width of B __global__ void Muldfloat A float B int wA int wB float C Block index int bx blockIdxx.

In my CUDA Program Structure post I mentioned that CUDA provides three abstractions. Writefile matmul_naivecu define WIDTH 4096 __global__ void matmul_kernel float C float A float B int x blockIdx. Nvcc -o mult-matrixo -c mult-matrixcu Sample.

Float M 500 500 N 500 500 P 500 500. Dim3 block BLOCK_SIZE BLOCK_SIZE. Perform CUDA matrix multiplication.

Our first example will follow the above suggested algorithm in a second example we are going to significantly simplify the low level memory manipulation required by CUDA. Let us go ahead and use our knowledge to do matrix-multiplication using CUDA. Int ty threadIdxy.

Printf -wAWidthA -hAHeightA Width x Height of Matrix A n. I for int j 0. Size BLOCK_SIZE.

Dim size BLOCK_SIZE 0. Thread index int tx threadIdx x. Mm_kernel a b result2 size.

231 cublasSgbmv banded matrix-vector multiplication34 232 cublasSgbmv uni ed memory version. This is an extension of the program in the CUDA by Example book which adds two long vectors of length N. I yi alphaxi yi Invoke serial SAXPY kernel.

Please type in m n and k. J M i j 500. Example of Matrix Multiplication Device multiplication function called by Mul Compute C A B wA is the width of A wB is the width of B __global__ void Muld float A float B int wA int wB float C Block index int bx blockIdx x.

Y block_size_y threadIdx. Allocating uni ed memory is as simple as replacing. This is the basic structure of matrix multiplication.

Thread index int tx threadIdxx. Exit EXIT_SUCCESS This will pick the best possible CUDA. This table is shown in Figure14.

N i j 500. Index of the first sub-matrix of A processed by the block int aBegin wA BLOCK_SIZE by. We multiply row entries by column entries and then add the products.

X block_size_x threadIdx. Outer matrix dimensions of A B matrices must be equal. For int i 0.

We have already covered the hierarchy of thread groups in Matrix Multiplication 1 and Matrix Multiplication 2In this posting we will cover shared memory and thread synchronization. For int k 0. Test results following tests were carried out on a Tesla M2075 card lzhengchunclus10 liu aout.

There are 4 different types of memory. Size BLOCK_SIZE 1. Index of the last sub-matrix.

Im looking for a very bare bones matrix multiplication example for CUBLAS that can multiply M times N and place the results in P for the following code using high-performance GPU operations. Fromto A B C D E F G H I J A. In this video we look at writing a simple matrix multiplication kernel from scratch in CUDAFor code samples.

In row-major layout elementxy can be addressed as. Float sum 00. Examples of Cuda code 1 The dot product 2 Matrixvector multiplication 3 Sparse matrix multiplication 4 Global reduction Computing y ax y with a Serial Loop void saxpy_serialint n float alpha float x float y forint i 0.

A typical approach to this will be to create three arrays on CPU the host in CUDA terminology initialize them copy the arrays on GPU the device on CUDA terminology do the actual matrix multiplication on GPU and finally copy the result on CPU. Before wall_clock_time. Dim3 grid dim dim.

Our main purpose is to show a set of examples containing matrix com-putations on GPUs which are easy to understand. Int y blockIdx. For example element 11 will be found at position.

A hierarchy of thread groups shared memory and thread synchronization. In your main program assign float values to the elements of A and B. A grid of CUDA thread blocks.

Int by blockIdx y. Cs355ghost01 1939 mult-matrix 1000 K 256 NN 1000000K 256 3906250000 --- use 3907 blocks Elasped time 43152 micro secs errors 0. Printf -wBWidthB -hBHeightB Width x Height of Matrix B n.

This makes the CUDA programming easier.

Running A Parallel Matrix Multiplication Program Using Cuda On Futuregrid