Rename fractal-brain to Resonance_Engine: update all paths, docs, scripts, and add experiments/results/src
This commit is contained in:
Scruff AI
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/* ============================================================================
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* RESONANCE TRACKER - LTP (Long-Term Potentiation) Metrics
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* Fractal Brain Cheat Sheet: Resonance = Connection strengthening
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* ============================================================================ */
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#include <cuda_runtime.h>
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#include <nvml.h>
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#include <cstdio>
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#include <cstdlib>
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#include <cstdint>
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#include <cmath>
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#include <chrono>
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#include <vector>
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#ifndef M_PI
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#define M_PI 3.14159265358979323846
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#endif
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#define NX 1024
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#define NY 1024
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#define NN (NX * NY)
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#define Q 9
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#define BLOCK 256
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#define GBLK(n) (((n) + BLOCK - 1) / BLOCK)
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#define TOTAL_STEPS 500000 // ~1.5 minutes
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#define STEPS_PER_BATCH 500
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#define SAMPLE_INTERVAL 10000 // More frequent sampling
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#define OMEGA 1.0f
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/* ---- Resonance Threshold ------------------------------------------------ */
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#define VORTICITY_THRESHOLD 0.0000001f // Much lower for resonance detection
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#define MIN_LIFETIME 10000 // 10k steps minimum for resonance
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#define MAX_PATTERNS 1000
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/* ---- Resonance Pattern Structure --------------------------------------- */
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typedef struct {
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int id;
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float position[2]; // Current position
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float velocity[2]; // Current velocity
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float vorticity; // Current vorticity strength
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float mass; // Accumulated mass
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float coherence; // Pattern coherence (0-1)
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uint64_t first_seen; // Step when first detected
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uint64_t last_seen; // Step when last seen
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uint64_t lifetime; // Total steps survived
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int active; // 1 if currently active
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float growth_rate; // Mass accumulation rate
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float stability; // Position stability (0-1)
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// Resonance metrics
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float peak_vorticity; // Maximum vorticity reached
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float avg_vorticity; // Average vorticity over lifetime
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int persistence_count; // Number of consecutive detections
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} ResonancePattern;
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ResonancePattern patterns[MAX_PATTERNS];
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int n_patterns = 0;
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/* ---- D2Q9 --------------------------------------------------------------- */
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__constant__ int d_ex[Q] = { 0, 1, 0,-1, 0, 1,-1,-1, 1 };
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__constant__ int d_ey[Q] = { 0, 0, 1, 0,-1, 1, 1,-1,-1 };
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__constant__ float d_w[Q] = { 4.f/9, 1.f/9, 1.f/9, 1.f/9, 1.f/9,
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1.f/36,1.f/36,1.f/36,1.f/36 };
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/* ======================================================================== */
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/* K E R N E L S */
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/* ======================================================================== */
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/* ---- LBM collide & stream ---------------------------------------------- */
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__global__ void lbm_collide_stream(const float* __restrict__ f_src,
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float* __restrict__ f_dst,
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float* __restrict__ rho,
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float* __restrict__ ux,
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float* __restrict__ uy,
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float omega, int nx, int ny) {
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const int idx = blockIdx.x * blockDim.x + threadIdx.x;
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const int N = nx * ny;
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if (idx >= N) return;
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const int x = idx % nx, y = idx / nx;
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float fl[Q];
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for (int i = 0; i < Q; i++) {
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int sx = (x - d_ex[i] + nx) % nx;
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int sy = (y - d_ey[i] + ny) % ny;
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fl[i] = f_src[i * N + sy * nx + sx];
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}
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float rho_val = 0.f, ux_val = 0.f, uy_val = 0.f;
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for (int i = 0; i < Q; i++) {
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rho_val += fl[i];
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ux_val += (float)d_ex[i] * fl[i];
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uy_val += (float)d_ey[i] * fl[i];
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}
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float inv = 1.f / fmaxf(rho_val, 1e-10f);
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ux_val *= inv; uy_val *= inv;
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rho[idx] = rho_val; ux[idx] = ux_val; uy[idx] = uy_val;
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const float u2 = ux_val * ux_val + uy_val * uy_val;
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for (int i = 0; i < Q; i++) {
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float eu = (float)d_ex[i] * ux_val + (float)d_ey[i] * uy_val;
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float feq = d_w[i] * rho_val * (1.f + 3.f*eu + 4.5f*eu*eu - 1.5f*u2);
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f_dst[i * N + idx] = fl[i] - omega * (fl[i] - feq);
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}
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}
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/* ---- Finite Difference Vorticity --------------------------------------- */
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__device__ float calculate_vorticity(int x, int y, int nx, int ny,
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float* v_x, float* v_y) {
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if (x <= 0 || x >= nx - 1 || y <= 0 || y >= ny - 1) return 0.0f;
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float dvy_dx = (v_y[y * nx + (x + 1)] - v_y[y * nx + (x - 1)]) * 0.5f;
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float dvx_dy = (v_x[(y + 1) * nx + x] - v_x[(y - 1) * nx + x]) * 0.5f;
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return dvy_dx - dvx_dy;
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}
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__global__ void compute_vorticity_map(float* ux, float* uy, float* vorticity,
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int nx, int ny) {
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const int idx = blockIdx.x * blockDim.x + threadIdx.x;
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const int N = nx * ny;
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if (idx >= N) return;
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const int x = idx % nx;
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const int y = idx / nx;
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vorticity[idx] = calculate_vorticity(x, y, nx, ny, ux, uy);
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}
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/* ======================================================================== */
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/* R E S O N A N C E T R A C K I N G */
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/* ======================================================================== */
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void update_resonance_patterns(const float* vorticity, const float* ux, const float* uy,
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const float* rho, uint64_t current_step) {
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// Track local maxima of vorticity
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for (int y = 1; y < NY - 1; y++) {
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for (int x = 1; x < NX - 1; x++) {
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int idx = y * NX + x;
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float w = fabsf(vorticity[idx]);
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// Check if above threshold and local maximum
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if (w > VORTICITY_THRESHOLD &&
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w > fabsf(vorticity[idx - 1]) &&
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w > fabsf(vorticity[idx + 1]) &&
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w > fabsf(vorticity[idx - NX]) &&
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w > fabsf(vorticity[idx + NX])) {
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// Find existing pattern nearby
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int existing = -1;
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float min_dist = 10.0f; // Within 10 cells
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for (int p = 0; p < n_patterns; p++) {
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if (patterns[p].active) {
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float dx = patterns[p].position[0] - x;
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float dy = patterns[p].position[1] - y;
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float dist = sqrtf(dx*dx + dy*dy);
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if (dist < min_dist) {
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min_dist = dist;
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existing = p;
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}
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}
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}
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if (existing >= 0) {
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// Update existing pattern
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ResonancePattern* pat = &patterns[existing];
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// Calculate movement
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float dx = x - pat->position[0];
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float dy = y - pat->position[1];
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float movement = sqrtf(dx*dx + dy*dy);
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// Update position (weighted average)
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pat->position[0] = 0.7f * pat->position[0] + 0.3f * x;
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pat->position[1] = 0.7f * pat->position[1] + 0.3f * y;
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// Update velocity
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pat->velocity[0] = ux[idx];
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pat->velocity[1] = uy[idx];
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// Update vorticity stats
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pat->vorticity = w;
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if (w > pat->peak_vorticity) pat->peak_vorticity = w;
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pat->avg_vorticity = (pat->avg_vorticity * pat->persistence_count + w) / (pat->persistence_count + 1);
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// Update mass (accumulate density)
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pat->mass += rho[idx] - 1.0f; // Excess density
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// Update coherence (inverse of movement)
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pat->coherence = 1.0f / (1.0f + movement);
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// Update stability (how little it moves)
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pat->stability = 1.0f / (1.0f + movement * 10.0f);
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// Update lifetime and persistence
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pat->last_seen = current_step;
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pat->lifetime = current_step - pat->first_seen;
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pat->persistence_count++;
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// Calculate growth rate
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if (pat->lifetime > 0) {
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pat->growth_rate = pat->mass / pat->lifetime;
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}
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} else if (n_patterns < MAX_PATTERNS) {
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// Create new pattern
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ResonancePattern* pat = &patterns[n_patterns];
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pat->id = n_patterns;
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pat->position[0] = x;
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pat->position[1] = y;
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pat->velocity[0] = ux[idx];
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pat->velocity[1] = uy[idx];
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pat->vorticity = w;
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pat->mass = rho[idx] - 1.0f;
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pat->coherence = 1.0f;
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pat->first_seen = current_step;
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pat->last_seen = current_step;
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pat->lifetime = 0;
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pat->active = 1;
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pat->growth_rate = 0.0f;
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pat->stability = 1.0f;
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pat->peak_vorticity = w;
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pat->avg_vorticity = w;
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pat->persistence_count = 1;
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n_patterns++;
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}
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}
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}
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}
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// Deactivate patterns not seen recently
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for (int p = 0; p < n_patterns; p++) {
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if (patterns[p].active) {
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if (current_step - patterns[p].last_seen > 5000) { // 5k steps timeout
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patterns[p].active = 0;
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}
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}
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}
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}
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/* ---- Save Resonance Metrics -------------------------------------------- */
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void save_resonance_metrics(uint64_t current_step) {
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FILE* csv = fopen("resonance_metrics.csv", "w");
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if (!csv) return;
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// Header
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fprintf(csv, "pattern_id,step,pos_x,pos_y,vel_x,vel_y,vorticity,mass,coherence,lifetime,growth_rate,stability,peak_vort,avg_vort,persistence\n");
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for (int p = 0; p < n_patterns; p++) {
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if (patterns[p].active && patterns[p].lifetime >= MIN_LIFETIME) {
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fprintf(csv, "%d,%llu,%.1f,%.1f,%.6f,%.6f,%.6e,%.6f,%.3f,%llu,%.6e,%.3f,%.6e,%.6e,%d\n",
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patterns[p].id,
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current_step,
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patterns[p].position[0],
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patterns[p].position[1],
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patterns[p].velocity[0],
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patterns[p].velocity[1],
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patterns[p].vorticity,
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patterns[p].mass,
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patterns[p].coherence,
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patterns[p].lifetime,
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patterns[p].growth_rate,
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patterns[p].stability,
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patterns[p].peak_vorticity,
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patterns[p].avg_vorticity,
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patterns[p].persistence_count);
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}
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}
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fclose(csv);
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// Summary JSON
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FILE* json = fopen("resonance_summary.json", "w");
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if (!json) return;
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int active_count = 0;
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int resonant_count = 0; // Patterns with lifetime > MIN_LIFETIME
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for (int p = 0; p < n_patterns; p++) {
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if (patterns[p].active) active_count++;
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if (patterns[p].active && patterns[p].lifetime >= MIN_LIFETIME) resonant_count++;
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}
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fprintf(json, "{\n");
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fprintf(json, " \"current_step\": %llu,\n", current_step);
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fprintf(json, " \"total_patterns\": %d,\n", n_patterns);
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fprintf(json, " \"active_patterns\": %d,\n", active_count);
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fprintf(json, " \"resonant_patterns\": %d,\n", resonant_count);
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fprintf(json, " \"min_lifetime\": %d,\n", MIN_LIFETIME);
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fprintf(json, " \"vorticity_threshold\": %.6e\n", VORTICITY_THRESHOLD);
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fprintf(json, "}\n");
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fclose(json);
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}
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/* ======================================================================== */
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/* M A I N T E S T */
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/* ======================================================================== */
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int main() {
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printf("=======================================================================\n");
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printf(" RESONANCE TRACKER - LTP (Long-Term Potentiation) Metrics\n");
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printf(" Fractal Brain: Resonance = Connection strengthening\n");
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printf("=======================================================================\n\n");
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printf("RESONANCE DEFINITION:\n");
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printf(" LTP (Long-Term Potentiation): Connection gets stronger with use\n");
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printf(" Metrics: Lifetime, Coherence, Growth Rate, Stability\n");
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printf(" Threshold: |ω| > %.6e, Min Lifetime: %d steps\n\n",
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VORTICITY_THRESHOLD, MIN_LIFETIME);
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// CUDA setup
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cudaDeviceProp prop;
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cudaGetDeviceProperties(&prop, 0);
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printf("[CUDA] %s SM %d.%d SMs: %d\n",
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prop.name, prop.major, prop.minor, prop.multiProcessorCount);
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// NVML power monitoring
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nvmlInit();
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nvmlDevice_t nvml_dev;
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nvmlDeviceGetHandleByIndex(0, &nvml_dev);
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unsigned int power_mW;
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nvmlDeviceGetPowerUsage(nvml_dev, &power_mW);
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printf("[NVML] Idle power: %.1f W\n", power_mW / 1000.0f);
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// Allocate memory
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float *f0, *f1, *rho, *ux, *uy, *vorticity;
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float *h_ux, *h_uy, *h_vorticity, *h_rho;
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cudaMalloc(&f0, Q * NN * sizeof(float));
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cudaMalloc(&f1, Q * NN * sizeof(float));
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cudaMalloc(&rho, NN * sizeof(float));
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cudaMalloc(&ux, NN * sizeof(float));
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cudaMalloc(&uy, NN * sizeof(float));
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cudaMalloc(&vorticity, NN * sizeof(float));
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h_ux = (float*)malloc(NN * sizeof(float));
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h_uy = (float*)malloc(NN * sizeof(float));
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h_vorticity = (float*)malloc(NN * sizeof(float));
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h_rho = (float*)malloc(NN * sizeof(float));
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// Initialize
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float* h_f0 = (float*)malloc(Q * NN * sizeof(float));
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for (int i = 0; i < Q * NN; i++) {
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h_f0[i] = 1.0f + 0.01f * (rand() / (float)RAND_MAX - 0.5f);
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}
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cudaMemcpy(f0, h_f0, Q * NN * sizeof(float), cudaMemcpyHostToDevice);
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free(h_f0);
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// Prepare telemetry
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FILE* telemetry = fopen("resonance_telemetry.csv", "w");
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fprintf(telemetry, "step,power_w,steps_per_sec,active_patterns,resonant_patterns,avg_lifetime,avg_coherence\n");
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auto t0 = std::chrono::steady_clock::now();
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uint64_t total_steps = 0;
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int cur = 0;
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printf("\n[EXPERIMENT] Tracking resonance patterns...\n");
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printf(" Steps | Power | Active | Resonant | Steps/sec | Avg Lifetime\n");
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printf(" --------|-------|--------|----------|-----------|-------------\n");
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int batches = TOTAL_STEPS / STEPS_PER_BATCH;
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for (int batch = 0; batch < batches; batch++) {
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// Run LBM steps
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for (int s = 0; s < STEPS_PER_BATCH; s++) {
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lbm_collide_stream<<<GBLK(NN), BLOCK>>>(
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(cur == 0) ? f0 : f1,
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(cur == 0) ? f1 : f0,
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rho, ux, uy, OMEGA, NX, NY);
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cudaDeviceSynchronize();
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cur = 1 - cur;
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}
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total_steps += STEPS_PER_BATCH;
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// Compute vorticity and update patterns every 5k steps
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if (total_steps % 5000 == 0) {
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compute_vorticity_map<<<GBLK(NN), BLOCK>>>(ux, uy, vorticity, NX, NY);
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cudaDeviceSynchronize();
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// Copy to host
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cudaMemcpy(h_ux, ux, NN * sizeof(float), cudaMemcpyDeviceToHost);
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cudaMemcpy(h_uy, uy, NN * sizeof(float), cudaMemcpyDeviceToHost);
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cudaMemcpy(h_vorticity, vorticity, NN * sizeof(float), cudaMemcpyDeviceToHost);
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cudaMemcpy(h_rho, rho, NN * sizeof(float), cudaMemcpyDeviceToHost);
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update_resonance_patterns(h_vorticity, h_ux, h_uy, h_rho, total_steps);
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}
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// Report every 10k steps
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if (total_steps % SAMPLE_INTERVAL == 0) {
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nvmlDeviceGetPowerUsage(nvml_dev, &power_mW);
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float power_W = power_mW / 1000.0f;
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auto t_now = std::chrono::steady_clock::now();
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double elapsed = std::chrono::duration<double>(t_now - t0).count();
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float steps_per_sec = total_steps / elapsed;
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// Calculate resonance statistics
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int active_count = 0;
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int resonant_count = 0;
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uint64_t total_lifetime = 0;
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float total_coherence = 0.0f;
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for (int p = 0; p < n_patterns; p++) {
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if (patterns[p].active) {
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active_count++;
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total_lifetime += patterns[p].lifetime;
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total_coherence += patterns[p].coherence;
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if (patterns[p].lifetime >= MIN_LIFETIME) {
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resonant_count++;
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}
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}
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}
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float avg_lifetime = (active_count > 0) ? (float)total_lifetime / active_count : 0.0f;
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float avg_coherence = (active_count > 0) ? total_coherence / active_count : 0.0f;
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fprintf(telemetry, "%llu,%.1f,%.0f,%d,%d,%.0f,%.3f\n",
|
||||
total_steps, power_W, steps_per_sec, active_count, resonant_count,
|
||||
avg_lifetime, avg_coherence);
|
||||
|
||||
printf(" %7llu | %5.0f | %6d | %8d | %8.0f | %11.0f\n",
|
||||
total_steps, power_W, active_count, resonant_count,
|
||||
steps_per_sec, avg_lifetime);
|
||||
|
||||
// Save detailed metrics every 50k steps
|
||||
if (total_steps % 50000 == 0) {
|
||||
save_resonance_metrics(total_steps);
|
||||
}
|
||||
}
|
||||
|
||||
// Check time limit (2 minutes)
|
||||
auto t_now = std::chrono::steady_clock::now();
|
||||
double elapsed = std::chrono::duration<double>(t_now - t0).count();
|
||||
if (elapsed > 120.0) { // 2 minutes
|
||||
printf("\n[TIME] 2 minutes reached\n");
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
auto t_end = std::chrono::steady_clock::now();
|
||||
double runtime = std::chrono::duration<double>(t_end - t0).count();
|
||||
|
||||
// Final results
|
||||
printf("\n=======================================================================\n");
|
||||
printf(" RESONANCE TRACKER - FINAL METRICS\n");
|
||||
printf("=======================================================================\n");
|
||||
|
||||
printf("\nEXPERIMENT SUMMARY:\n");
|
||||
printf(" Total steps: %llu\n", total_steps);
|
||||
printf(" Runtime: %.1f seconds (%.2f minutes)\n", runtime, runtime / 60.0);
|
||||
printf(" Steps/sec: %.0f\n", total_steps / runtime);
|
||||
|
||||
nvmlDeviceGetPowerUsage(nvml_dev, &power_mW);
|
||||
printf(" Final power: %.1f W\n", power_mW / 1000.0f);
|
||||
|
||||
// Final resonance statistics
|
||||
int active_count = 0;
|
||||
int resonant_count = 0;
|
||||
uint64_t total_lifetime = 0;
|
||||
float total_coherence = 0.0f;
|
||||
float total_growth = 0.0f;
|
||||
float total_stability = 0.0f;
|
||||
|
||||
for (int p = 0; p < n_patterns; p++) {
|
||||
if (patterns[p].active) {
|
||||
active_count++;
|
||||
total_lifetime += patterns[p].lifetime;
|
||||
total_coherence += patterns[p].coherence;
|
||||
total_growth += patterns[p].growth_rate;
|
||||
total_stability += patterns[p].stability;
|
||||
|
||||
if (patterns[p].lifetime >= MIN_LIFETIME) {
|
||||
resonant_count++;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
printf("\nRESONANCE METRICS:\n");
|
||||
printf(" Total patterns: %d\n", n_patterns);
|
||||
printf(" Active patterns: %d\n", active_count);
|
||||
printf(" Resonant patterns: %d (lifetime >= %d steps)\n", resonant_count, MIN_LIFETIME);
|
||||
|
||||
if (active_count > 0) {
|
||||
printf(" Avg lifetime: %.0f steps\n", (float)total_lifetime / active_count);
|
||||
printf(" Avg coherence: %.3f (0-1)\n", total_coherence / active_count);
|
||||
printf(" Avg growth rate: %.3e mass/step\n", total_growth / active_count);
|
||||
printf(" Avg stability: %.3f (0-1)\n", total_stability / active_count);
|
||||
}
|
||||
|
||||
printf("\nRESONANCE CLASSIFICATION:\n");
|
||||
if (resonant_count > 0) {
|
||||
printf(" ✅ RESONANCE DETECTED: %d patterns show LTP\n", resonant_count);
|
||||
printf(" Patterns strengthen with repeated activation\n");
|
||||
} else if (active_count > 0) {
|
||||
printf(" ⚠️ PATTERNS DETECTED: %d patterns, but none resonant yet\n", active_count);
|
||||
printf(" Need more time for LTP development\n");
|
||||
} else {
|
||||
printf(" ⚠️ NO PATTERNS DETECTED: Threshold may need adjustment\n");
|
||||
printf(" Try lower vorticity threshold or longer runtime\n");
|
||||
}
|
||||
|
||||
// Save final metrics
|
||||
save_resonance_metrics(total_steps);
|
||||
|
||||
printf("\nOUTPUT FILES:\n");
|
||||
printf(" resonance_telemetry.csv - Time-series telemetry\n");
|
||||
printf(" resonance_metrics.csv - Detailed pattern metrics\n");
|
||||
printf(" resonance_summary.json - Summary statistics\n");
|
||||
|
||||
printf("\nANALYSIS:\n");
|
||||
printf(" Resonance (LTP) requires:\n");
|
||||
printf(" 1. Pattern detection (vorticity > threshold)\n");
|
||||
printf(" 2. Persistence (lifetime > %d steps)\n", MIN_LIFETIME);
|
||||
printf(" 3. Coherence (organized structure)\n");
|
||||
printf(" 4. Growth (mass/energy accumulation)\n");
|
||||
|
||||
// Cleanup
|
||||
fclose(telemetry);
|
||||
cudaFree(f0); cudaFree(f1);
|
||||
cudaFree(rho); cudaFree(ux); cudaFree(uy); cudaFree(vorticity);
|
||||
free(h_ux); free(h_uy); free(h_vorticity); free(h_rho);
|
||||
nvmlShutdown();
|
||||
|
||||
return 0;
|
||||
}
|
||||
Reference in New Issue
Block a user