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cuda-based-raytrace
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Analyzed data for transfer-function purposes

This commit is contained in:
Martin Opat 2025-01-09 12:17:16 +01:00
parent 10324eb1ca
commit d978630f26
1 changed files with 12 additions and 2 deletions
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14
src/main.cu
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@ -10,6 +10,7 @@
#include <iostream> #include <iostream>
#include "linalg/linalg.h" #include "linalg/linalg.h"
#include <vector> #include <vector>
#include <numeric>
static float* d_volume = nullptr; static float* d_volume = nullptr;
@ -54,8 +55,8 @@ void getSpeed(std::vector<float>& speedData, int idx = 0) {
int main() { int main() {
std::vector<float> data; std::vector<float> data;
// getTemperature(data); getTemperature(data);
getSpeed(data); // getSpeed(data);
std::cout << "DATA size: " << data.size() << std::endl; std::cout << "DATA size: " << data.size() << std::endl;
@ -74,10 +75,19 @@ int main() {
float maxVal = *std::max_element(hostVolume, hostVolume + VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH); float maxVal = *std::max_element(hostVolume, hostVolume + VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH);
std::cout << "minVal: " << minVal << " maxVal: " << maxVal << std::endl; std::cout << "minVal: " << minVal << " maxVal: " << maxVal << std::endl;
// Normalize to [0, 1]
// Temperature: min: 0 max: 1 avg: 0.776319 median: 0.790567
// Speed: min: 0 max: 1 avg: 0.132117 median: 0.0837869
for (int i = 0; i < VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH; i++) { for (int i = 0; i < VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH; i++) {
hostVolume[i] = (hostVolume[i] - minVal) / (maxVal - minVal); hostVolume[i] = (hostVolume[i] - minVal) / (maxVal - minVal);
} }
// // print min, max, avg., and median values <--- the code actually does not work when this snippet is enabled so probably TODO: Delete this later
// std::sort(hostVolume, hostVolume + VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH);
// float sum = std::accumulate(hostVolume, hostVolume + VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH, 0.0f);
// float avg = sum / (VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH);
// std::cout << "min: " << hostVolume[0] << " max: " << hostVolume[VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH - 1] << " avg: " << avg << " median: " << hostVolume[VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH / 2] << std::endl;
// Allocate + copy data to GPU // Allocate + copy data to GPU
size_t volumeSize = sizeof(float) * VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH; size_t volumeSize = sizeof(float) * VOLUME_WIDTH * VOLUME_HEIGHT * VOLUME_DEPTH;
cudaMalloc((void**)&d_volume, volumeSize); cudaMalloc((void**)&d_volume, volumeSize);