// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2023 Google Inc. All rights reserved. // http://ceres-solver.org/ // // 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 Google Inc. 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 AND CONTRIBUTORS "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. // // Author: wjr@google.com (William Rucklidge) #ifndef CERES_INTERNAL_PARALLEL_UTILS_H_ #define CERES_INTERNAL_PARALLEL_UTILS_H_ #include "ceres/internal/export.h" namespace ceres::internal { // Converts a linear iteration order into a triangular iteration order. // Suppose you have nested loops that look like // for (int i = 0; i < n; i++) { // for (int j = i; j < n; j++) { // ... use i and j // } // } // Naively using ParallelFor to parallelise those loops might look like // ParallelFor(..., 0, n * n, num_threads, // [](int thread_id, int k) { // int i = k / n, j = k % n; // if (j < i) return; // ... // }); // but these empty work items can lead to very unbalanced threading. Instead, // do this: // int actual_work_items = (n * (n + 1)) / 2; // ParallelFor(..., 0, actual_work_items, num_threads, // [](int thread_id, int k) { // int i, j; // UnfoldIteration(k, n, &i, &j); // ... // }); // which in each iteration will produce i and j satisfying // 0 <= i <= j < n CERES_NO_EXPORT void LinearIndexToUpperTriangularIndex(int k, int n, int* i, int* j); } // namespace ceres::internal #endif // CERES_INTERNAL_PARALLEL_UTILS_H_