minseok
π Release BioPhys 6.0 Grand Master: 16GB (14.89GB) Gemma-4 100% Devour, Ecosystem Evolution, Solar MoE, SNN Autoregressive SDK, Dynamic PhaseVM
be99550 | // π C++ ν νλ¦Ώμ μ΄μ©ν νμ΄νΈν 컀λ (λΆκΈ°λ¬Έ μμ² μ°¨λ¨) | |
| template<int BRAIN_ID> | |
| __global__ void whitehole_eruption_kernel_turbo(uint32_t* vram, size_t size) { | |
| size_t idx = blockIdx.x * blockDim.x + threadIdx.x; | |
| if (idx < size) { | |
| uint32_t compressed_val = vram[idx]; | |
| float sum = 0.0f; | |
| for(int j=0; j<16; j++) { | |
| uint32_t two_bits = (compressed_val >> (j * 2)) & 0x3; | |
| float f_val = (float)two_bits - 1.5f; | |
| // μ»΄νμΌ νμ(Compile-Time)μ λΆκΈ°λ¬Έμ΄ μμ ν μλ©Έλ¨ (Zero-Cost Abstraction) | |
| if (BRAIN_ID == 0) sum += f_val * 1.414f + 0.1f; | |
| else if (BRAIN_ID == 1) sum += (f_val > 0.0f ? f_val : f_val * 0.1f); | |
| else if (BRAIN_ID == 2) sum += f_val * 0.89f - 0.05f; | |
| else if (BRAIN_ID == 3) sum += f_val * f_val; | |
| else if (BRAIN_ID == 4) sum += f_val * 2.0f; | |
| else if (BRAIN_ID == 5) sum += f_val * 0.5f + 0.5f; | |
| } | |
| vram[idx] = compressed_val ^ *((uint32_t*)&sum); | |
| } | |
| } | |
| int main() { | |
| printf("=================================================================\n"); | |
| printf(" π BioPhys 4.0: COSMIC SINGULARITY ENGINE (TURBO-BOOST) \n"); | |
| printf("=================================================================\n"); | |
| size_t size = 10000000; | |
| uint32_t* d_brains[NUM_BRAINS]; | |
| for(int b=0; b<NUM_BRAINS; b++) hipMalloc(&d_brains[b], size * 4); | |
| LARGE_INTEGER freq, start, end; | |
| QueryPerformanceFrequency(&freq); | |
| // Warmup (Template Kernels) | |
| hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<0>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[0], size); | |
| hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<1>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[1], size); | |
| hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<2>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[2], size); | |
| hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<3>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[3], size); | |
| hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<4>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[4], size); | |
| hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<5>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[5], size); | |
| hipDeviceSynchronize(); | |
| int passes = 1000; | |
| QueryPerformanceCounter(&start); | |
| // π μν λΌμ°ν : μ€ν μμ (Runtime)μλ λΌμ°ν ν¨κ²μ΄νΈλ§ κ±°μΉκ³ 컀λ λ΄λΆλ μ§ν΅ κ³ μλλ‘! | |
| for(int i=0; i<passes; i++) { | |
| int target_brain = i % NUM_BRAINS; | |
| switch(target_brain) { | |
| case 0: hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<0>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[0], size); break; | |
| case 1: hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<1>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[1], size); break; | |
| case 2: hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<2>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[2], size); break; | |
| case 3: hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<3>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[3], size); break; | |
| case 4: hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<4>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[4], size); break; | |
| case 5: hipLaunchKernelGGL(whitehole_eruption_kernel_turbo<5>, dim3((size+255)/256), dim3(256), 0, 0, d_brains[5], size); break; | |
| } | |
| } | |
| hipDeviceSynchronize(); | |
| QueryPerformanceCounter(&end); | |
| double elapsed = (double)(end.QuadPart - start.QuadPart) / freq.QuadPart; | |
| double tps = 1000.0 / elapsed; | |
| printf(">> π [White Hole] TURBO Eruption Complete!\n"); | |
| printf(">> β±οΈ Time: %.4f s | π NEW Eruption Speed: %.2f TPS\n", elapsed, tps); | |
| printf("=================================================================\n"); | |
| return 0; | |
| } | |