| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2018 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/port.h"namespace ceres {namespace 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 < nCERES_EXPORT_INTERNAL void LinearIndexToUpperTriangularIndex(int k,                                                             int n,                                                             int* i,                                                             int* j);}  // namespace internal}  // namespace ceres#endif  // CERES_INTERNAL_PARALLEL_UTILS_H_
 |