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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
book

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

by Bhaumik Vaidya
September 2018
Intermediate to advanced
380 pages
9h 40m
English
Packt Publishing
Content preview from Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Executing threads on a device

We have seen that, while configuring kernel parameters, we can start multiple blocks and multiple threads in parallel. So, in which order do these blocks and threads start and finish their execution? It is important to know this if we want to use the output of one thread in other threads. To understand this, we have modified the kernel in the hello,CUDA! program we saw in the first chapter, by including a print statement in the kernel call, which prints the block number. The modified code is as follows:

#include <iostream>#include <stdio.h>__global__ void myfirstkernel(void) {  //blockIdx.x gives the block number of current kernel   printf("Hello!!!I'm thread in block: %d\n", blockIdx.x);}int main(void) { //A kernel ...
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Publisher Resources

ISBN: 9781789348293