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- // 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_
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