Hands-On GPU Computing with Python by Avimanyu Bandyopadhyay

Author:Avimanyu Bandyopadhyay
Language: eng
Format: epub, mobi, pdf
Tags: COM087020 - COMPUTERS / Desktop Applications / Design and Graphics, COM051240 - COMPUTERS / Software Development and Engineering / Systems Analysis and Design, COM051220 - COMPUTERS / Programming / Parallel
Publisher: Packt Publishing
Published: 2019-05-14T03:19:35+00:00

// Setup input values

for (i = 0; i < N - 1; ++i) {

p[i] = 24.0;

q[i] = 12.0;

}

// Copy inputs to device

hipMemcpy(gpu_p, p, size, hipMemcpyHostToDevice);

hipMemcpy(gpu_q, q, size, hipMemcpyHostToDevice);

Note that only the following comment has been modified manually for HIP:

//INITIALIZE HIP EVENTS

hipEvent_t start, stop;

float elapsedTime;

//CREATING EVENTS

hipEventCreate(&start);

hipEventCreate(&stop);

hipEventRecord(start, 0);

//HIP KERNEL STUFF HERE...

// Launch multiply() kernel on GPU with N threads

hipLaunchKernelGGL(multiply, dim3((N + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK), dim3(THREADS_PER_BLOCK), 0, 0, gpu_p, gpu_q, N);

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