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d957a90573
...
8dec472929
6 changed files with 274 additions and 84 deletions
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@ -1 +1,194 @@
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#include "neighbor_list.cuh"
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#include "neighbor_list.cuh"
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/**
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* Step 1: Assign particles to cells
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*/
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__global__ void assign_particles_to_cells_kernel(const float4 *positions,
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int *particle_cells,
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const CellList cell_list,
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size_t n_particles) {
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size_t i = get_thread_id();
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if (i >= n_particles)
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return;
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float4 pos = positions[i];
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float3 pos3 = make_float3(pos.x, pos.y, pos.z);
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int3 cell_coords = cell_list.get_cell_coords(pos3);
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// Clamp to valid range (handle edge cases)
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cell_coords.x = max(0, min(cell_coords.x, cell_list.grid_size.x - 1));
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cell_coords.y = max(0, min(cell_coords.y, cell_list.grid_size.y - 1));
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cell_coords.z = max(0, min(cell_coords.z, cell_list.grid_size.z - 1));
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particle_cells[i] =
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cell_list.get_cell_index(cell_coords.x, cell_coords.y, cell_coords.z);
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}
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/**
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* Step 2: Find cell boundaries after sorting
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*/
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__global__ void find_cell_boundaries_kernel(const int *sorted_particle_cells,
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int *cell_starts, int *cell_ends,
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size_t n_particles,
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size_t total_cells) {
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size_t i = get_thread_id();
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if (i >= n_particles)
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return;
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int cell = sorted_particle_cells[i];
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// Check if this is the start of a new cell
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if (i == 0 || sorted_particle_cells[i - 1] != cell) {
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cell_starts[cell] = i;
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}
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// Check if this is the end of a cell
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if (i == n_particles - 1 || sorted_particle_cells[i + 1] != cell) {
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cell_ends[cell] = i + 1;
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}
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}
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/**
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* Step 3: Build actual neighbor lists using cell lists
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*/
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__global__ void
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build_neighbor_lists_kernel(const float4 *positions, const CellList cell_list,
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NeighborList neighbor_list, float cutoff_squared,
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const float3 *box_lengths, size_t n_particles) {
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size_t i = get_thread_id();
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if (i >= n_particles)
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return;
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float4 pos_i = positions[i];
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float3 my_pos = make_float3(pos_i.x, pos_i.y, pos_i.z);
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int3 my_cell = cell_list.get_cell_coords(my_pos);
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int neighbor_count = 0;
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int max_neighbors = neighbor_list.max_neighbors;
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int *my_neighbors = neighbor_list.get_neighbors(i);
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// Search neighboring cells (3x3x3 = 27 cells including self)
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for (int dz = -1; dz <= 1; dz++) {
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for (int dy = -1; dy <= 1; dy++) {
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for (int dx = -1; dx <= 1; dx++) {
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int3 neighbor_cell =
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make_int3(my_cell.x + dx, my_cell.y + dy, my_cell.z + dz);
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// Check bounds
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if (neighbor_cell.x < 0 || neighbor_cell.x >= cell_list.grid_size.x ||
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neighbor_cell.y < 0 || neighbor_cell.y >= cell_list.grid_size.y ||
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neighbor_cell.z < 0 || neighbor_cell.z >= cell_list.grid_size.z) {
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continue;
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}
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int cell_idx = cell_list.get_cell_index(
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neighbor_cell.x, neighbor_cell.y, neighbor_cell.z);
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int start = cell_list.cell_starts[cell_idx];
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int end = cell_list.cell_ends[cell_idx];
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// Check all particles in this cell
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for (int idx = start; idx < end; idx++) {
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int j = cell_list.sorted_particles[idx];
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if (i >= j)
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continue; // Avoid double counting and self-interaction
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float4 pos_j = positions[j];
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float3 other_pos = make_float3(pos_j.x, pos_j.y, pos_j.z);
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// Calculate distance with periodic boundary conditions
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float dx = my_pos.x - other_pos.x;
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float dy = my_pos.y - other_pos.y;
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float dz = my_pos.z - other_pos.z;
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// Apply PBC
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dx -= box_lengths->x * roundf(dx / box_lengths->x);
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dy -= box_lengths->y * roundf(dy / box_lengths->y);
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dz -= box_lengths->z * roundf(dz / box_lengths->z);
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float r_squared = dx * dx + dy * dy + dz * dz;
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if (r_squared <= cutoff_squared && neighbor_count < max_neighbors) {
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my_neighbors[neighbor_count] = j;
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neighbor_count++;
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}
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}
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}
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}
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}
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neighbor_list.neighbor_counts[i] = neighbor_count;
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}
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// =============================================================================
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// HOST FUNCTIONS
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// =============================================================================
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void build_cell_list(const float4 *positions, CellList &cell_list,
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const float3 *box_lengths) {
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// Step 1: Assign particles to cells
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auto config = get_launch_config(cell_list.n_particles);
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assign_particles_to_cells_kernel<<<config.blocks, config.threads>>>(
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positions, cell_list.particle_cells, cell_list, cell_list.n_particles);
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// Step 2: Sort particles by cell index using Thrust
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thrust::device_ptr<int> particle_cells_ptr(cell_list.particle_cells);
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thrust::device_ptr<int> sorted_particles_ptr(cell_list.sorted_particles);
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// Initialize particle indices 0, 1, 2, ...
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thrust::sequence(sorted_particles_ptr,
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sorted_particles_ptr + cell_list.n_particles);
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// Sort particle indices by their cell assignments
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thrust::sort_by_key(particle_cells_ptr,
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particle_cells_ptr + cell_list.n_particles,
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sorted_particles_ptr);
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// Step 3: Initialize cell boundaries to -1
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cudaMemset(cell_list.cell_starts, -1, cell_list.total_cells * sizeof(int));
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cudaMemset(cell_list.cell_ends, -1, cell_list.total_cells * sizeof(int));
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// Step 4: Find cell boundaries
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config = get_launch_config(cell_list.n_particles);
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find_cell_boundaries_kernel<<<config.blocks, config.threads>>>(
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cell_list.particle_cells, cell_list.cell_starts, cell_list.cell_ends,
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cell_list.n_particles, cell_list.total_cells);
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}
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void build_neighbor_list(const float4 *positions, const CellList &cell_list,
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NeighborList &neighbor_list, float cutoff_squared,
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const float3 *box_lengths) {
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// Initialize neighbor counts to 0
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cudaMemset(neighbor_list.neighbor_counts, 0,
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neighbor_list.n_particles * sizeof(int));
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auto config = get_launch_config(neighbor_list.n_particles);
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build_neighbor_lists_kernel<<<config.blocks, config.threads>>>(
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positions, cell_list, neighbor_list, cutoff_squared, box_lengths,
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neighbor_list.n_particles);
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}
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void build_neighbor_list_optimized(const float4 *positions, size_t n_particles,
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const float3 *box_lengths, float cutoff,
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NeighborList &neighbor_list) {
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// Get box size for cell list construction
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float3 box_size;
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cudaMemcpy(&box_size, box_lengths, sizeof(float3), cudaMemcpyDeviceToHost);
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// Create cell list
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CellList cell_list(n_particles, box_size, cutoff);
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// Build cell list
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build_cell_list(positions, cell_list, box_lengths);
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// Build neighbor list using cell list
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build_neighbor_list(positions, cell_list, neighbor_list, cutoff * cutoff,
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box_lengths);
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}
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@ -1,21 +1,68 @@
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#ifndef NEIGHBOR_LIST_CUH
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#ifndef NEIGHBOR_LIST_CUH
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#define NEIGHBOR_LIST_CUH
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#define NEIGHBOR_LIST_CUH
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#include "box.hpp"
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#include "kernel_config.cuh" // From previous artifact
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#include "kernel_config.cuh"
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#include "utils.cuh"
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#include <cuda_runtime.h>
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#include <cuda_runtime.h>
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#include <thrust/device_vector.h>
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#include <thrust/device_vector.h>
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#include <thrust/pair.h>
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#include <thrust/sequence.h>
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#include <thrust/sequence.h>
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#include <thrust/sort.h>
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#include <thrust/sort.h>
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/**
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* Simple kernel to initialize neighbor offsets
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*/
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__global__ void init_neighbor_offsets(int *offsets, size_t n_particles,
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int max_neighbors) {
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size_t i = get_thread_id();
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if (i <= n_particles) { // Note: <= because we need n_particles + 1 elements
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offsets[i] = i * max_neighbors;
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}
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}
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/**
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* Neighbor list data structure
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* Uses a compact format similar to CSR sparse matrices
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*/
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struct NeighborList {
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int *neighbor_offsets; // Size: n_particles + 1, offset into neighbor_indices
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int *neighbor_indices; // Size: total_neighbors, actual neighbor particle IDs
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int *neighbor_counts; // Size: n_particles, number of neighbors per particle
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size_t max_neighbors; // Maximum neighbors allocated per particle
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size_t n_particles;
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// Constructor
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NeighborList(size_t n_particles, size_t max_neighbors_per_particle)
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: max_neighbors(max_neighbors_per_particle), n_particles(n_particles) {
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cudaMalloc(&neighbor_offsets, (n_particles + 1) * sizeof(int));
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cudaMalloc(&neighbor_indices, n_particles * max_neighbors * sizeof(int));
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cudaMalloc(&neighbor_counts, n_particles * sizeof(int));
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// Initialize offsets
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auto kernel_config = get_launch_config(n_particles);
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init_neighbor_offsets<<<kernel_config.blocks, kernel_config.threads>>>(
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neighbor_offsets, n_particles, max_neighbors);
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}
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~NeighborList() {
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cudaFree(neighbor_offsets);
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cudaFree(neighbor_indices);
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cudaFree(neighbor_counts);
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}
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// Get neighbors for particle i (device function)
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__device__ int *get_neighbors(int i) const {
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return &neighbor_indices[neighbor_offsets[i]];
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}
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__device__ int get_neighbor_count(int i) const { return neighbor_counts[i]; }
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};
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/**
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/**
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* Cell list structure for spatial hashing
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* Cell list structure for spatial hashing
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*/
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*/
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struct CellList {
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struct CellList {
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int *cell_starts; // Size: total_cells, start index in sorted_particles
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int *cell_starts; // Size: total_cells, start index in sorted_particles
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int *cell_count; // Size: total_cells, end index in sorted_particles
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int *cell_ends; // Size: total_cells, end index in sorted_particles
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int *sorted_particles; // Size: n_particles, particle IDs sorted by cell
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int *sorted_particles; // Size: n_particles, particle IDs sorted by cell
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int *particle_cells; // Size: n_particles, which cell each particle belongs to
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int *particle_cells; // Size: n_particles, which cell each particle belongs to
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@ -25,55 +72,40 @@ struct CellList {
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size_t total_cells;
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size_t total_cells;
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size_t n_particles;
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size_t n_particles;
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CellList(size_t n_particles, Box &box, float r_cutoff)
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CellList(size_t n_particles, float3 box_size, float cutoff)
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: n_particles(n_particles) {
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: n_particles(n_particles) {
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box_min.x = box.xlo;
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// Calculate grid dimensions (cell size slightly larger than cutoff)
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box_min.y = box.ylo;
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float cell_margin = 1.001f; // Small safety margin
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box_min.z = box.zlo;
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cell_size = make_float3(cutoff * cell_margin, cutoff * cell_margin,
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cutoff * cell_margin);
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auto [grid_size, cell_size] = calc_grid_and_cell_size(box, r_cutoff);
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grid_size.x = (int)ceilf(box_size.x / cell_size.x);
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this->grid_size = grid_size;
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grid_size.y = (int)ceilf(box_size.y / cell_size.y);
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this->cell_size = cell_size;
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grid_size.z = (int)ceilf(box_size.z / cell_size.z);
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total_cells = grid_size.x * grid_size.y * grid_size.z;
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total_cells = (size_t)grid_size.x * grid_size.y * grid_size.z;
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box_min = make_float3(0.0f, 0.0f, 0.0f); // Assume box starts at origin
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// Allocate memory
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cudaMalloc(&cell_starts, total_cells * sizeof(int));
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cudaMalloc(&cell_starts, total_cells * sizeof(int));
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cudaMalloc(&cell_count, total_cells * sizeof(int));
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cudaMalloc(&cell_ends, total_cells * sizeof(int));
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cudaMalloc(&sorted_particles, n_particles * sizeof(int));
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cudaMalloc(&sorted_particles, n_particles * sizeof(int));
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cudaMalloc(&particle_cells, n_particles * sizeof(int));
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cudaMalloc(&particle_cells, n_particles * sizeof(int));
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}
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}
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~CellList() {
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~CellList() {
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cudaFree(cell_starts);
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cudaFree(cell_starts);
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cudaFree(cell_count);
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cudaFree(cell_ends);
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cudaFree(sorted_particles);
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cudaFree(sorted_particles);
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cudaFree(particle_cells);
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cudaFree(particle_cells);
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}
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}
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// Get cell index from 3D coordinates
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// Get cell index from 3D coordinates
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// TODO; Maybe update this to use Morton Encodings in the future to improve
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__device__ int get_cell_index(int x, int y, int z) const {
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// locality of particle indices. Unclear how much of a benefit this will add,
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// but would be cool to do
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__host__ __device__ int get_cell_index(int x, int y, int z) const {
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return z * grid_size.x * grid_size.y + y * grid_size.x + x;
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return z * grid_size.x * grid_size.y + y * grid_size.x + x;
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}
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}
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std::pair<int3, float3> calc_grid_and_cell_size(Box &box,
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float r_cutoff) const {
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int3 grid_size = {utils::max((int)(box.xhi - box.xlo) / r_cutoff, 1),
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utils::max((int)(box.yhi - box.ylo) / r_cutoff, 1),
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utils::max((int)(box.zhi - box.zlo) / r_cutoff, 1)};
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float3 cell_size = {
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(box.xhi - box.xlo) / grid_size.x,
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(box.yhi - box.ylo) / grid_size.y,
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(box.zhi - box.zlo) / grid_size.z,
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};
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return std::make_pair(grid_size, cell_size);
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}
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// Get cell coordinates from position
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// Get cell coordinates from position
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__device__ int3 get_cell_coords(float3 pos) const {
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__device__ int3 get_cell_coords(float3 pos) const {
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return make_int3((int)((pos.x - box_min.x) / cell_size.x),
|
return make_int3((int)((pos.x - box_min.x) / cell_size.x),
|
||||||
|
@ -82,4 +114,19 @@ struct CellList {
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
|
// Forward declarations
|
||||||
|
void build_cell_list(const float4 *positions, CellList &cell_list,
|
||||||
|
const float3 *box_lengths);
|
||||||
|
|
||||||
|
void build_neighbor_list(const float4 *positions, const CellList &cell_list,
|
||||||
|
NeighborList &neighbor_list, float cutoff_squared,
|
||||||
|
const float3 *box_lengths);
|
||||||
|
|
||||||
|
/**
|
||||||
|
* High-level interface - builds complete neighbor list
|
||||||
|
*/
|
||||||
|
void build_neighbor_list_optimized(const float4 *positions, size_t n_particles,
|
||||||
|
const float3 *box_lengths, float cutoff,
|
||||||
|
NeighborList &neighbor_list);
|
||||||
|
|
||||||
#endif
|
#endif
|
||||||
|
|
|
@ -1,8 +0,0 @@
|
||||||
#ifndef UTILS_CUH
|
|
||||||
#define UTILS_CUH
|
|
||||||
|
|
||||||
namespace utils {
|
|
||||||
__device__ __host__ inline int max(int a, int b) { return (a > b) ? a : b; }
|
|
||||||
} // namespace utils
|
|
||||||
|
|
||||||
#endif
|
|
10
src/box.hpp
10
src/box.hpp
|
@ -18,16 +18,6 @@ struct Box {
|
||||||
bool x_is_periodic;
|
bool x_is_periodic;
|
||||||
bool y_is_periodic;
|
bool y_is_periodic;
|
||||||
bool z_is_periodic;
|
bool z_is_periodic;
|
||||||
|
|
||||||
Box(real xlo, real xhi, real ylo, real yhi, real zlo, real zhi,
|
|
||||||
bool x_is_periodic, bool y_is_periodic, bool z_is_periodic)
|
|
||||||
: xlo(xlo), xhi(xhi), ylo(ylo), yhi(yhi), zlo(zlo), zhi(zhi),
|
|
||||||
x_is_periodic(x_is_periodic), y_is_periodic(y_is_periodic),
|
|
||||||
z_is_periodic(z_is_periodic) {}
|
|
||||||
|
|
||||||
Box(real xlo, real xhi, real ylo, real yhi, real zlo, real zhi)
|
|
||||||
: xlo(xlo), xhi(xhi), ylo(ylo), yhi(yhi), zlo(zlo), zhi(zhi),
|
|
||||||
x_is_periodic(true), y_is_periodic(true), z_is_periodic(true) {}
|
|
||||||
};
|
};
|
||||||
|
|
||||||
#endif
|
#endif
|
||||||
|
|
|
@ -4,7 +4,6 @@ add_executable(${NAME}_cuda_tests
|
||||||
test_potential.cu
|
test_potential.cu
|
||||||
test_forces.cu
|
test_forces.cu
|
||||||
test_kernel_config.cu
|
test_kernel_config.cu
|
||||||
test_neighbor_list.cu
|
|
||||||
)
|
)
|
||||||
|
|
||||||
target_link_libraries(${NAME}_cuda_tests gtest gtest_main)
|
target_link_libraries(${NAME}_cuda_tests gtest gtest_main)
|
||||||
|
|
|
@ -1,31 +0,0 @@
|
||||||
|
|
||||||
#include "box.hpp"
|
|
||||||
#include "neighbor_list.cuh"
|
|
||||||
#include "gtest/gtest.h"
|
|
||||||
|
|
||||||
TEST(CellListTest, Constructor) {
|
|
||||||
// Test case 1: Simple case
|
|
||||||
Box box(0, 10, 0, 10, 0, 10);
|
|
||||||
float cutoff = 2.5;
|
|
||||||
CellList cell_list(100, box, cutoff);
|
|
||||||
|
|
||||||
EXPECT_EQ(cell_list.grid_size.x, 4);
|
|
||||||
EXPECT_EQ(cell_list.grid_size.y, 4);
|
|
||||||
EXPECT_EQ(cell_list.grid_size.z, 4);
|
|
||||||
EXPECT_FLOAT_EQ(cell_list.cell_size.x, 2.5);
|
|
||||||
EXPECT_FLOAT_EQ(cell_list.cell_size.y, 2.5);
|
|
||||||
EXPECT_FLOAT_EQ(cell_list.cell_size.z, 2.5);
|
|
||||||
EXPECT_EQ(cell_list.total_cells, 64);
|
|
||||||
}
|
|
||||||
|
|
||||||
TEST(CellListTest, GetCellIndex) {
|
|
||||||
Box box(0, 10, 0, 10, 0, 10);
|
|
||||||
float cutoff = 2.5;
|
|
||||||
CellList cell_list(100, box, cutoff);
|
|
||||||
|
|
||||||
int x = 1, y = 2, z = 3;
|
|
||||||
int expected_index = z * cell_list.grid_size.x * cell_list.grid_size.y +
|
|
||||||
y * cell_list.grid_size.x + x;
|
|
||||||
|
|
||||||
EXPECT_EQ(cell_list.get_cell_index(x, y, z), expected_index);
|
|
||||||
}
|
|
Loading…
Add table
Add a link
Reference in a new issue