Cuda Matrix Multiplication Example Code

15 Apr, 2021

P i j 0. I use the cublas library but the following code is to demonstrate how its possible to call cublas directly from cuda.

Cs Tech Era Tiled Matrix Multiplication Using Shared Memory In Cuda

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Cuda matrix multiplication example code. Please type in m n and k. IfrowMatrix multiplication between a IxJ matrix d_M and JxK matrix d_N produces a matrix d_P with dimensions IxK. It is assumed that the student is familiar with C programming but no other background is assumed.

Thread index int tx threadIdx x. Time elapsed on matrix multiplication of 1024x1024. Cs355ghost01 1939 mult-matrix 1000 K 256 NN 1000000K 256 3906250000 --- use 3907 blocks Elasped time 43152 micro secs errors 0.

Float M 500 500 N 500 500 P 500 500. Mm_kernel a b result2 size. Test results following tests were carried out on a Tesla M2075 card lzhengchunclus10 liu aout.

In this video we look at writing a simple matrix multiplication kernel from scratch in CUDAFor code samples. 429 magma sgemm - matrix-matrix multiplication. Dim3 grid dim dim.

Int by blockIdx y. Nvcc -o mult-matrixo -c mult-matrixcu Sample. J M i j 500.

Good luck to everyone in CUDA David Lisin. Our main purpose is to show a set of examples containing matrix com-putations on GPUs which are easy to understand. I yi alphaxi yi Invoke serial SAXPY kernel.

Matrix multiplication is simple. There are 4 different types of memory. To calculate ij th element in C we need to multiply i th row of A with j th column in B Fig1.

N i j 500. Size BLOCK_SIZE. Perform CUDA matrix multiplication.

A grid of CUDA thread blocks. Dim3 block BLOCK_SIZE BLOCK_SIZE. A hierarchy of thread groups shared memory and thread synchronization.

We use the example of Matrix Multiplication to introduce the basics of GPU computing in the CUDA environment. A block of BLOCK_SIZE x BLOCK_SIZE CUDA threads. Size BLOCK_SIZE 1.

So an individual element in C will be a vector-vector. One platform for doing so is NVIDIAs Compute Uni ed Device Architecture or CUDA. In my CUDA Program Structure post I mentioned that CUDA provides three abstractions.

Before wall_clock_time. I for int j 0. For int i 0.

Dim size BLOCK_SIZE 0. 223 4210 magma sgemm - uni ed memory version. 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.

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. 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. Matrix multiplication in CUDA this is a toy program for learning CUDA some functions are reusable for other purposes.

The formula used to calculate elements of d_P is. We believe that the presented document. I hope it serves all who are interested.

This is the matrixMultm file. 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. Through over 200 code samples.

Matrix Multiplication In Cuda A Simple Guide By Charitha Saumya Analytics Vidhya Medium