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Austin Schuh70cc9552019-01-21 19:46:48 -08001// 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
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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
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080034#include "ceres/internal/port.h"
35
Austin Schuh70cc9552019-01-21 19:46:48 -080036namespace ceres {
37namespace internal {
38
39// Converts a linear iteration order into a triangular iteration order.
40// Suppose you have nested loops that look like
41// for (int i = 0; i < n; i++) {
42// for (int j = i; j < n; j++) {
43// ... use i and j
44// }
45// }
46// Naively using ParallelFor to parallelise those loops might look like
47// ParallelFor(..., 0, n * n, num_threads,
48// [](int thread_id, int k) {
49// int i = k / n, j = k % n;
50// if (j < i) return;
51// ...
52// });
53// but these empty work items can lead to very unbalanced threading. Instead,
54// do this:
55// int actual_work_items = (n * (n + 1)) / 2;
56// ParallelFor(..., 0, actual_work_items, num_threads,
57// [](int thread_id, int k) {
58// int i, j;
59// UnfoldIteration(k, n, &i, &j);
60// ...
61// });
62// which in each iteration will produce i and j satisfying
63// 0 <= i <= j < n
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080064CERES_EXPORT_INTERNAL void LinearIndexToUpperTriangularIndex(int k,
65 int n,
66 int* i,
67 int* j);
Austin Schuh70cc9552019-01-21 19:46:48 -080068
69} // namespace internal
70} // namespace ceres
71
72#endif // CERES_INTERNAL_PARALLEL_UTILS_H_