346 lines
13 KiB
Plaintext
346 lines
13 KiB
Plaintext
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/* ============================================================================
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* PROBE B ISOLATED TEST - No OpenClaw Interference
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* Fixed guardian tracking, real physics, 5-minute test
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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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#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 300000 // ~5 minutes at 5.5k steps/sec
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#define STEPS_PER_BATCH 1000
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#define SAMPLE_INTERVAL 10000 // Sample every 10k steps
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#define OMEGA 1.0f
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#define MAX_GUARDIANS 200
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#define GUARDIAN_THRESHOLD 1.05f // INCREASED from 1.01 to 1.05
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typedef struct {
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float x, y;
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float vx, vy;
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float mass;
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int alive;
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uint64_t born_step;
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} Guardian;
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Guardian guardians[MAX_GUARDIANS];
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int n_guardians = 0;
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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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__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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void update_guardians(const float* rho, const float* ux, const float* uy,
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uint64_t current_step) {
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// Only check every 50k steps to reduce overhead
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static uint64_t last_check = 0;
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if (current_step - last_check < 50000) return;
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last_check = current_step;
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// Reset guardian count for fresh detection
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n_guardians = 0;
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// Check only every 4th cell to reduce overhead
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for (int y = 2; y < NY - 2; y += 2) {
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for (int x = 2; x < NX - 2; x += 2) {
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int idx = y * NX + x;
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float rho_val = rho[idx];
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// Check if this is a local maximum and above threshold
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if (rho_val > GUARDIAN_THRESHOLD &&
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rho_val > rho[idx - 1] && rho_val > rho[idx + 1] &&
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rho_val > rho[idx - NX] && rho_val > rho[idx + NX]) {
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// Check if guardian already exists nearby (8 cell radius)
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int existing = -1;
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for (int g = 0; g < n_guardians; g++) {
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if (guardians[g].alive) {
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float dx = guardians[g].x - x;
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float dy = guardians[g].y - y;
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if (dx*dx + dy*dy < 64.0f) { // 8 cell radius
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existing = g;
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break;
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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 guardian (average position)
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guardians[existing].x = (guardians[existing].x + x) / 2.0f;
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guardians[existing].y = (guardians[existing].y + y) / 2.0f;
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guardians[existing].vx = ux[idx];
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guardians[existing].vy = uy[idx];
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// FIXED: Don't accumulate mass, just update
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guardians[existing].mass = rho_val - 1.0f;
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} else if (n_guardians < MAX_GUARDIANS) {
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// Create new guardian
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guardians[n_guardians].x = x;
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guardians[n_guardians].y = y;
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guardians[n_guardians].vx = ux[idx];
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guardians[n_guardians].vy = uy[idx];
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guardians[n_guardians].mass = rho_val - 1.0f; // FIXED: Not accumulating
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guardians[n_guardians].alive = 1;
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guardians[n_guardians].born_step = current_step;
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n_guardians++;
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}
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}
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}
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}
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}
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int main() {
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printf("=======================================================================\n");
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printf(" PROBE B ISOLATED TEST - No OpenClaw Interference\n");
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printf(" Beast: RTX 4090, 1024x1024 grid\n");
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printf(" Target: 300k steps (~5 minutes at 5.5k steps/sec)\n");
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printf("=======================================================================\n\n");
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printf("ISOLATION STATUS:\n");
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printf(" ✅ OpenClaw gateway stopped\n");
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printf(" ✅ No cron heartbeat interference\n");
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printf(" ✅ Clean GPU/CPU environment\n\n");
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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 with cudaMalloc (not Managed) for better performance
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float *f0, *f1, *rho, *ux, *uy;
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float *h_rho, *h_ux, *h_uy; // Host copies for guardian tracking
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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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h_rho = (float*)malloc(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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// Initialize on device
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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 output
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FILE* csv = fopen("probeB_isolated.csv", "w");
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fprintf(csv, "step,power_w,n_guardians,steps_per_sec\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[RUNNING] Starting isolated test...\n");
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printf(" Steps | Power | Guardians | Steps/sec\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 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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// Update guardians every 50k steps (copy data from GPU)
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if (total_steps % 50000 == 0) {
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cudaMemcpy(h_rho, rho, NN * sizeof(float), cudaMemcpyDeviceToHost);
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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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update_guardians(h_rho, h_ux, h_uy, 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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fprintf(csv, "%llu,%.1f,%d,%.0f\n",
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total_steps, power_W, n_guardians, steps_per_sec);
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printf(" %7llu | %5.0f | %9d | %8.0f\n",
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total_steps, power_W, n_guardians, steps_per_sec);
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// Constitution check
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if (steps_per_sec > 10000.0f) {
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printf("\n🚨 STEP RATE TOO HIGH: %.0f (>10k)\n", steps_per_sec);
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break;
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}
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if (power_W < 50.0f && elapsed > 30.0f) {
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printf("\n🚨 POWER TOO LOW: %.1f W (<50W)\n", power_W);
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break;
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}
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}
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// Check time limit (5 minutes)
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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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if (elapsed > 300.0) { // 5 minutes
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printf("\n[TIME] 5 minutes reached\n");
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break;
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}
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}
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auto t_end = std::chrono::steady_clock::now();
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double runtime = std::chrono::duration<double>(t_end - t0).count();
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// Final results
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printf("\n=======================================================================\n");
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printf(" ISOLATED TEST RESULTS\n");
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printf("=======================================================================\n");
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printf("\nPERFORMANCE:\n");
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printf(" Total steps: %llu\n", total_steps);
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printf(" Runtime: %.1f seconds\n", runtime);
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printf(" Steps/sec: %.0f\n", total_steps / runtime);
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printf(" Expected: ~5,500 steps/sec\n");
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nvmlDeviceGetPowerUsage(nvml_dev, &power_mW);
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printf("\nPOWER:\n");
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printf(" Final power: %.1f W\n", power_mW / 1000.0f);
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printf(" Idle power: ~37 W\n");
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printf(" Load power: ~290 W\n");
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printf("\nGUARDIANS:\n");
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int alive_guardians = 0;
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for (int g = 0; g < n_guardians; g++) {
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if (guardians[g].alive) alive_guardians++;
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}
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printf(" Total formed: %d\n", alive_guardians);
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printf(" Target (5 min): 13 guardians\n");
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printf(" Threshold: rho > %.3f\n", GUARDIAN_THRESHOLD);
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// Save guardian census
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FILE* guardian_csv = fopen("guardian_census_isolated.csv", "w");
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if (guardian_csv) {
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fprintf(guardian_csv, "id,x,y,vx,vy,mass,alive,born_step\n");
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for (int g = 0; g < n_guardians; g++) {
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if (guardians[g].alive) {
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fprintf(guardian_csv, "%d,%.2f,%.2f,%.6f,%.6f,%.6f,%d,%llu\n",
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g, guardians[g].x, guardians[g].y,
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guardians[g].vx, guardians[g].vy,
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guardians[g].mass, guardians[g].alive,
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guardians[g].born_step);
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}
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}
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fclose(guardian_csv);
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}
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printf("\nVERDICT:\n");
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float steps_per_sec = total_steps / runtime;
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if (steps_per_sec > 4000 && steps_per_sec < 7000) {
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printf("✅ PERFORMANCE: %.0f steps/sec (real physics)\n", steps_per_sec);
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} else {
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printf("❌ PERFORMANCE: %.0f steps/sec (expected ~5.5k)\n", steps_per_sec);
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}
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if (power_mW / 1000.0f > 100.0f) {
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printf("✅ POWER: %.1f W (real work)\n", power_mW / 1000.0f);
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} else {
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printf("❌ POWER: %.1f W (not scaling)\n", power_mW / 1000.0f);
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}
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if (alive_guardians > 0 && alive_guardians < 50) {
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printf("✅ GUARDIANS: %d formed (reasonable count)\n", alive_guardians);
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} else if (alive_guardians == 0) {
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printf("❌ GUARDIANS: None formed (threshold too high?)\n");
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} else {
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printf("⚠️ GUARDIANS: %d formed (too many, threshold needs tuning)\n", alive_guardians);
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}
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printf("\nISOLATION STATUS:\n");
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printf(" ✅ No OpenClaw cron interference\n");
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|
|
printf(" ✅ Clean performance measurement\n");
|
||
|
|
|
||
|
|
printf("\nOutput files:\n");
|
||
|
|
printf(" probeB_isolated.csv - Telemetry data\n");
|
||
|
|
printf(" guardian_census_isolated.csv - Guardian positions/mass/velocity\n");
|
||
|
|
|
||
|
|
// Cleanup
|
||
|
|
fclose(csv);
|
||
|
|
cudaFree(f0); cudaFree(f1);
|
||
|
|
cudaFree(rho); cudaFree(ux); cudaFree(uy);
|
||
|
|
free(h_rho); free(h_ux); free(h_uy);
|
||
|
|
nvmlShutdown();
|
||
|
|
|
||
|
|
return 0;
|
||
|
|
}
|