Austin Schuh | 70cc955 | 2019-01-21 19:46:48 -0800 | [diff] [blame^] | 1 | // Ceres Solver - A fast non-linear least squares minimizer |
| 2 | // Copyright 2018 Google Inc. All rights reserved. |
| 3 | // http://ceres-solver.org/ |
| 4 | // |
| 5 | // Redistribution and use in source and binary forms, with or without |
| 6 | // modification, are permitted provided that the following conditions are met: |
| 7 | // |
| 8 | // * Redistributions of source code must retain the above copyright notice, |
| 9 | // this list of conditions and the following disclaimer. |
| 10 | // * Redistributions in binary form must reproduce the above copyright notice, |
| 11 | // this list of conditions and the following disclaimer in the documentation |
| 12 | // and/or other materials provided with the distribution. |
| 13 | // * Neither the name of Google Inc. nor the names of its contributors may be |
| 14 | // used to endorse or promote products derived from this software without |
| 15 | // specific prior written permission. |
| 16 | // |
| 17 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| 18 | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| 19 | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| 20 | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| 21 | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| 22 | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| 23 | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| 24 | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| 25 | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 26 | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 27 | // POSSIBILITY OF SUCH DAMAGE. |
| 28 | // |
| 29 | // Author: wjr@google.com (William Rucklidge) |
| 30 | |
| 31 | #ifndef CERES_INTERNAL_PARALLEL_UTILS_H_ |
| 32 | #define CERES_INTERNAL_PARALLEL_UTILS_H_ |
| 33 | |
| 34 | namespace ceres { |
| 35 | namespace internal { |
| 36 | |
| 37 | // Converts a linear iteration order into a triangular iteration order. |
| 38 | // Suppose you have nested loops that look like |
| 39 | // for (int i = 0; i < n; i++) { |
| 40 | // for (int j = i; j < n; j++) { |
| 41 | // ... use i and j |
| 42 | // } |
| 43 | // } |
| 44 | // Naively using ParallelFor to parallelise those loops might look like |
| 45 | // ParallelFor(..., 0, n * n, num_threads, |
| 46 | // [](int thread_id, int k) { |
| 47 | // int i = k / n, j = k % n; |
| 48 | // if (j < i) return; |
| 49 | // ... |
| 50 | // }); |
| 51 | // but these empty work items can lead to very unbalanced threading. Instead, |
| 52 | // do this: |
| 53 | // int actual_work_items = (n * (n + 1)) / 2; |
| 54 | // ParallelFor(..., 0, actual_work_items, num_threads, |
| 55 | // [](int thread_id, int k) { |
| 56 | // int i, j; |
| 57 | // UnfoldIteration(k, n, &i, &j); |
| 58 | // ... |
| 59 | // }); |
| 60 | // which in each iteration will produce i and j satisfying |
| 61 | // 0 <= i <= j < n |
| 62 | void LinearIndexToUpperTriangularIndex(int k, int n, int* i, int* j); |
| 63 | |
| 64 | } // namespace internal |
| 65 | } // namespace ceres |
| 66 | |
| 67 | #endif // CERES_INTERNAL_PARALLEL_UTILS_H_ |