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Rename fractal-brain to Resonance_Engine: update all paths, docs, scripts, and add experiments/results/src

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Scruff AI
2026-03-25 07:34:34 +07:00
parent a3fb27821e
commit 7f04a7d81d
311 changed files with 72910 additions and 172 deletions
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results/harmonic_scan_sequential/1024x1024/vortex_diagnostic.cu
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/* ============================================================================
* VORTEX DIAGNOSTIC - Measure Actual Vorticity Values
* Calibrate threshold to weekend baseline
* ============================================================================ */
#include <cuda_runtime.h>
#include <nvml.h>
#include <cstdio>
#include <cstdlib>
#include <cstdint>
#include <cmath>
#include <chrono>
#ifndef M_PI
#define M_PI 3.14159265358979323846
#endif
#define NX 1024
#define NY 1024
#define NN (NX * NY)
#define Q 9
#define BLOCK 256
#define GBLK(n) (((n) + BLOCK - 1) / BLOCK)
#define STEPS 10000 // Quick test
#define OMEGA 1.0f
__constant__ int d_ex[Q] = { 0, 1, 0,-1, 0, 1,-1,-1, 1 };
__constant__ int d_ey[Q] = { 0, 0, 1, 0,-1, 1, 1,-1,-1 };
__constant__ float d_w[Q] = { 4.f/9, 1.f/9, 1.f/9, 1.f/9, 1.f/9,
1.f/36,1.f/36,1.f/36,1.f/36 };
/* ---- Finite Difference Vorticity Calculation --------------------------- */
__device__ float calculate_vorticity(int x, int y, int nx, int ny,
float* v_x, float* v_y) {
// Standard Central Difference (2-pixel span)
if (x <= 0 || x >= nx - 1 || y <= 0 || y >= ny - 1) return 0.0f;
float dvy_dx = (v_y[y * nx + (x + 1)] - v_y[y * nx + (x - 1)]) * 0.5f;
float dvx_dy = (v_x[(y + 1) * nx + x] - v_x[(y - 1) * nx + x]) * 0.5f;
return dvy_dx - dvx_dy;
}
__global__ void lbm_collide_stream(const float* __restrict__ f_src,
float* __restrict__ f_dst,
float* __restrict__ rho,
float* __restrict__ ux,
float* __restrict__ uy,
float omega, int nx, int ny) {
const int idx = blockIdx.x * blockDim.x + threadIdx.x;
const int N = nx * ny;
if (idx >= N) return;
const int x = idx % nx, y = idx / nx;
float fl[Q];
for (int i = 0; i < Q; i++) {
int sx = (x - d_ex[i] + nx) % nx;
int sy = (y - d_ey[i] + ny) % ny;
fl[i] = f_src[i * N + sy * nx + sx];
}
float rho_val = 0.f, ux_val = 0.f, uy_val = 0.f;
for (int i = 0; i < Q; i++) {
rho_val += fl[i];
ux_val += (float)d_ex[i] * fl[i];
uy_val += (float)d_ey[i] * fl[i];
}
float inv = 1.f / fmaxf(rho_val, 1e-10f);
ux_val *= inv; uy_val *= inv;
rho[idx] = rho_val; ux[idx] = ux_val; uy[idx] = uy_val;
const float u2 = ux_val * ux_val + uy_val * uy_val;
for (int i = 0; i < Q; i++) {
float eu = (float)d_ex[i] * ux_val + (float)d_ey[i] * uy_val;
float feq = d_w[i] * rho_val * (1.f + 3.f*eu + 4.5f*eu*eu - 1.5f*u2);
f_dst[i * N + idx] = fl[i] - omega * (fl[i] - feq);
}
}
__global__ void compute_vorticity_map(float* ux, float* uy, float* vorticity,
int nx, int ny) {
const int idx = blockIdx.x * blockDim.x + threadIdx.x;
const int N = nx * ny;
if (idx >= N) return;
const int x = idx % nx;
const int y = idx / nx;
vorticity[idx] = calculate_vorticity(x, y, nx, ny, ux, uy);
}
int main() {
printf("=======================================================================\n");
printf(" VORTEX DIAGNOSTIC - Measure Actual Vorticity\n");
printf(" Calibrate threshold to weekend baseline\n");
printf("=======================================================================\n\n");
// CUDA setup
cudaDeviceProp prop;
cudaGetDeviceProperties(&prop, 0);
printf("[CUDA] %s SM %d.%d SMs: %d\n",
prop.name, prop.major, prop.minor, prop.multiProcessorCount);
// Allocate memory
float *f0, *f1, *rho, *ux, *uy, *vorticity;
float *h_vorticity;
cudaMalloc(&f0, Q * NN * sizeof(float));
cudaMalloc(&f1, Q * NN * sizeof(float));
cudaMalloc(&rho, NN * sizeof(float));
cudaMalloc(&ux, NN * sizeof(float));
cudaMalloc(&uy, NN * sizeof(float));
cudaMalloc(&vorticity, NN * sizeof(float));
h_vorticity = (float*)malloc(NN * sizeof(float));
// Initialize
float* h_f0 = (float*)malloc(Q * NN * sizeof(float));
for (int i = 0; i < Q * NN; i++) {
h_f0[i] = 1.0f + 0.01f * (rand() / (float)RAND_MAX - 0.5f);
}
cudaMemcpy(f0, h_f0, Q * NN * sizeof(float), cudaMemcpyHostToDevice);
free(h_f0);
printf("\n[RUNNING] 10k steps to develop vorticity...\n");
int cur = 0;
for (int s = 0; s < STEPS; s++) {
lbm_collide_stream<<<GBLK(NN), BLOCK>>>(
(cur == 0) ? f0 : f1,
(cur == 0) ? f1 : f0,
rho, ux, uy, OMEGA, NX, NY);
cudaDeviceSynchronize();
cur = 1 - cur;
}
printf("[COMPUTING] Vorticity map...\n");
compute_vorticity_map<<<GBLK(NN), BLOCK>>>(ux, uy, vorticity, NX, NY);
cudaDeviceSynchronize();
cudaMemcpy(h_vorticity, vorticity, NN * sizeof(float), cudaMemcpyDeviceToHost);
// Analyze vorticity distribution
float min_vort = 1e10f, max_vort = -1e10f;
float sum_abs = 0.0f;
int count_above_1e4 = 0;
int count_above_1e5 = 0;
int count_above_1e6 = 0;
for (int i = 0; i < NN; i++) {
float w = h_vorticity[i];
float abs_w = fabsf(w);
if (w < min_vort) min_vort = w;
if (w > max_vort) max_vort = w;
sum_abs += abs_w;
if (abs_w > 0.0001f) count_above_1e4++;
if (abs_w > 0.00001f) count_above_1e5++;
if (abs_w > 0.000001f) count_above_1e6++;
}
float mean_abs = sum_abs / NN;
printf("\n=======================================================================\n");
printf(" VORTICITY DISTRIBUTION ANALYSIS\n");
printf("=======================================================================\n");
printf("\nSTATISTICS:\n");
printf(" Min vorticity: %+.6e\n", min_vort);
printf(" Max vorticity: %+.6e\n", max_vort);
printf(" Mean |vorticity|: %.6e\n", mean_abs);
printf("\nTHRESHOLD COUNTS (1024×1024 = 1,048,576 cells):\n");
printf(" |ω| > 0.000100: %d cells (%.3f%%)\n",
count_above_1e4, (count_above_1e4 * 100.0f) / NN);
printf(" |ω| > 0.000010: %d cells (%.3f%%)\n",
count_above_1e5, (count_above_1e5 * 100.0f) / NN);
printf(" |ω| > 0.000001: %d cells (%.3f%%)\n",
count_above_1e6, (count_above_1e6 * 100.0f) / NN);
printf("\nRECOMMENDED THRESHOLDS:\n");
printf(" For 194 guardians (~0.0185%% of cells):\n");
printf(" Target count: ~194 cells\n");
printf(" Current at 1e-4: %d cells (too %s)\n",
count_above_1e4, count_above_1e4 > 194 ? "HIGH" : "LOW");
printf(" Current at 1e-5: %d cells (too %s)\n",
count_above_1e5, count_above_1e5 > 194 ? "HIGH" : "LOW");
// Find threshold that gives ~194 cells
float target_threshold = 0.0f;
if (count_above_1e4 > 194) {
// Need higher threshold
target_threshold = 0.0001f * sqrtf((float)count_above_1e4 / 194.0f);
} else if (count_above_1e5 > 194) {
// Between 1e-5 and 1e-4
target_threshold = 0.00001f * powf(10.0f,
log10f((float)count_above_1e5 / 194.0f) /
log10f((float)count_above_1e5 / (float)count_above_1e4));
} else {
// Need lower threshold
target_threshold = 0.00001f / sqrtf(194.0f / (float)count_above_1e5);
}
printf("\nCALIBRATION TO WEEKEND BASELINE:\n");
printf(" March 7: 194 guardians\n");
printf(" Grid size: 1024×1024 = 1,048,576 cells\n");
printf(" Ratio: 1 guardian per %.0f cells\n", NN / 194.0f);
printf(" Recommended threshold: |ω| > %.6e\n", target_threshold);
printf("\nDIAGNOSTIC COMPLETE.\n");
printf(" Use threshold ~%.6e for ~194 guardians\n", target_threshold);
printf(" (Adjust based on actual weekend data)\n");
// Cleanup
cudaFree(f0); cudaFree(f1);
cudaFree(rho); cudaFree(ux); cudaFree(uy); cudaFree(vorticity);
free(h_vorticity);
return 0;
}