/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of NVIDIA CORPORATION nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #include #include #include #include #include #include #define PI 3.1415926536f typedef unsigned int uint; __device__ bool isInsideQuad_D(float2 pos0, float2 pos1, float width, float height) { if (fabs(pos0.x - pos1.x) < 0.5f * width && fabs(pos0.y - pos1.y) < 0.5f * height) { return true; } else { return false; } } __device__ bool isInsideBird(float2 pixel, float2 pos, float width, float height, float radius) { if (abs(pixel.x - pos.x) < 0.5f * width && abs(pixel.y - pos.y) < 0.5f * height || (pixel.x - pos.x) * (pixel.x - pos.x) + (pixel.y - pos.y) * (pixel.y - pos.y) < radius * radius) { return true; } else { return false; } } __global__ void cuda_kernel_update(float2 *newPos, float2 *curPos, uint numBirds, bool *hasproxy, bool *neighbors, bool *rightgoals, bool *leftgoals, Params *params) { uint i = blockIdx.x * blockDim.x + threadIdx.x; if (i >= numBirds) { return; } float minDist = 50000.f; float2 dij = make_float2(0.f); if (!hasproxy[i]) { for (uint j = 0; j < numBirds; j++) { if (j == i) { continue; } if (leftgoals[i * numBirds + j]) { dij = params->dX * normalize(curPos[j] - curPos[i]); break; } } } else { bool collision = false; for (uint j = 0; j < numBirds; j++) { float d; if (leftgoals[i * numBirds + j]) { d = curPos[j].x - (params->wingspan + params->lambda) - curPos[i].x; if (fabs(d) < fabs(minDist)) { minDist = d; } } if (rightgoals[i * numBirds + j]) { d = curPos[j].x + (params->wingspan + params->lambda) - curPos[i].x; if (fabs(d) < fabs(minDist)) { minDist = d; } } if (neighbors[i * numBirds + j] && !collision) { if (curPos[j].y >= curPos[i].y && curPos[j].y < curPos[i].y + params->epsilon) { dij.y = -params->dY; collision = true; } } } if (fabs(minDist) <= params->dX) { return; } dij.x = minDist > 0 ? params->dX : -params->dX; } newPos[i].x = curPos[i].x + dij.x; newPos[i].y = curPos[i].y + dij.y; } __global__ void cuda_kernel_checktriples(float2 *pos, uint numBirds, bool *hasproxy, bool *neighbors, bool *rightgoals, bool *leftgoals, uint3 *triples, Params *params) { uint ith = blockIdx.x * blockDim.x + threadIdx.x; if (ith >= numBirds * (numBirds - 1) * (numBirds - 2) / 6) { return; } uint a[3]; a[0] = triples[ith].x; a[1] = triples[ith].y; a[2] = triples[ith].z; uint i, j, x; for (i = 0; i < 3; i++) { for (j = 2; j > i; j--) { if (pos[a[j - 1]].y > pos[a[j]].y) { x = a[j - 1]; a[j - 1] = a[j]; a[j] = x; } } } if (hasproxy[a[0]]) { float a2a1 = pos[a[2]].x - pos[a[1]].x; if (fabs(a2a1) < 2.f * (params->wingspan + params->lambda)) if (a2a1 >= 0) { if (leftgoals[a[0] * numBirds + a[2]]) { leftgoals[a[0] * numBirds + a[2]] = false; } if (rightgoals[a[0] * numBirds + a[1]]) { rightgoals[a[0] * numBirds + a[1]] = false; } } else { if (leftgoals[a[0] * numBirds + a[1]]) { leftgoals[a[0] * numBirds + a[1]] = false; } if (rightgoals[a[0] * numBirds + a[2]]) { rightgoals[a[0] * numBirds + a[2]] = false; } } } else { if ((leftgoals[a[0] * numBirds + a[2]]) && (leftgoals[a[0] * numBirds + a[1]])) if ((length(pos[a[1]] - pos[a[0]]) < length(pos[a[2]] - pos[a[0]]))) { leftgoals[a[0] * numBirds + a[2]] = false; } else { leftgoals[a[0] * numBirds + a[1]] = false; } } } __global__ void cuda_kernel_checkpairs(float2 *pos, uint numBirds, bool *hasproxy, bool *neighbors, bool *rightgoals, bool *leftgoals, uint2 *pairs, Params *params) { uint i = blockIdx.x * blockDim.x + threadIdx.x; if (i >= numBirds * (numBirds - 1) / 2) { return; } uint front, back; if (pos[pairs[i].y].y > pos[pairs[i].x].y) { front = pairs[i].y; back = pairs[i].x; } else { front = pairs[i].x; back = pairs[i].y; } leftgoals[back * numBirds + front] = true; rightgoals[back * numBirds + front] = true; float2 stepback; stepback.x = pos[front].x; stepback.y = pos[front].y - 0.5f * params->upwashY; if (isInsideQuad_D( pos[back], stepback, 2.f * (params->wingspan + params->lambda + params->upwashX), params->upwashY)) { neighbors[back * numBirds + front] = true; if (!hasproxy[back]) { hasproxy[back] = true; } } } extern "C" void cuda_simulate(float2 *newPos, float2 *curPos, uint numBirds, bool *d_hasproxy, bool *d_neighbors, bool *d_leftgoals, bool *d_rightgoals, uint2 *d_pairs, uint3 *d_triples, Params *d_params) { cudaError_t error = cudaSuccess; float tempms; static float ms = 0.f; static uint step = 0; int smallblockSize = 32, midblockSize = 128, bigblockSize = 32; cudaEvent_t e_start, e_stop; cudaEventCreate(&e_start); cudaEventCreate(&e_stop); cudaEventRecord(e_start, 0); cudaMemset(d_leftgoals, 0, numBirds * numBirds * sizeof(bool)); cudaMemset(d_rightgoals, 0, numBirds * numBirds * sizeof(bool)); cudaMemset(d_hasproxy, 0, numBirds * sizeof(bool)); cudaMemset(d_neighbors, 0, numBirds * numBirds * sizeof(bool)); dim3 Db = dim3(bigblockSize); dim3 Dg = dim3((numBirds * (numBirds - 1) / 2 + bigblockSize - 1) / bigblockSize); cuda_kernel_checkpairs<<>>(curPos, numBirds, d_hasproxy, d_neighbors, d_rightgoals, d_leftgoals, d_pairs, d_params); Db = dim3(midblockSize); Dg = dim3((numBirds * (numBirds - 1) * (numBirds - 2) / 6 + bigblockSize - 1) / bigblockSize); cuda_kernel_checktriples<<>>(curPos, numBirds, d_hasproxy, d_neighbors, d_rightgoals, d_leftgoals, d_triples, d_params); Db = dim3(smallblockSize); Dg = dim3((numBirds + smallblockSize - 1) / smallblockSize); cuda_kernel_update<<>>(newPos, curPos, numBirds, d_hasproxy, d_neighbors, d_rightgoals, d_leftgoals, d_params /*, d_pWingTips */); cudaDeviceSynchronize(); cudaEventRecord(e_stop, 0); cudaEventSynchronize(e_stop); cudaEventElapsedTime(&tempms, e_start, e_stop); ms += tempms; if (!(step % 100) && step) { printf("GPU, step %d \ntime per step %6.3f ms \n", step, ms / 100.f); ms = 0.f; } step++; error = cudaGetLastError(); if (error != cudaSuccess) { printf("one of the cuda kernels failed to launch, error = %d\n", error); } }