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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"
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28//
29// Author: wjr@google.com (William Rucklidge)
30
31#ifndef CERES_INTERNAL_PARALLEL_UTILS_H_
32#define CERES_INTERNAL_PARALLEL_UTILS_H_
33
34namespace ceres {
35namespace 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
62void LinearIndexToUpperTriangularIndex(int k, int n, int* i, int* j);
63
64} // namespace internal
65} // namespace ceres
66
67#endif // CERES_INTERNAL_PARALLEL_UTILS_H_