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Math: added Algorithms::kahanSum().

The test is running pretty slow on debug builds, though (sorry). I see
no way how to make it faster while still exposing the issues with
std::accumulate().
pull/190/head
Vladimír Vondruš 9 years ago
parent
commit
543782d78b
  1. 1
      src/Magnum/Math/Algorithms/CMakeLists.txt
  2. 85
      src/Magnum/Math/Algorithms/KahanSum.h
  3. 1
      src/Magnum/Math/Algorithms/Test/CMakeLists.txt
  4. 166
      src/Magnum/Math/Algorithms/Test/KahanSumTest.cpp

1
src/Magnum/Math/Algorithms/CMakeLists.txt

@ -26,6 +26,7 @@
set(MagnumMathAlgorithms_HEADERS
GaussJordan.h
GramSchmidt.h
KahanSum.h
Qr.h
Svd.h)

85
src/Magnum/Math/Algorithms/KahanSum.h

@ -0,0 +1,85 @@
#ifndef Magnum_Math_Algorithms_KahanSum_h
#define Magnum_Math_Algorithms_KahanSum_h
/*
This file is part of Magnum.
Copyright © 2010, 2011, 2012, 2013, 2014, 2015, 2016
Vladimír Vondruš <mosra@centrum.cz>
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense,
and/or sell copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included
in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
*/
/** @file
* @brief Function @ref Magnum::Math::Algorithms::kahanSum()
*/
#include <utility>
namespace Magnum { namespace Math { namespace Algorithms {
/**
@brief Kahan summation algorithm
@param[in] begin Range begin
@param[in] end Range end
@param[in] sum Initial value for the sum
@param[in,out] compensation Floating-point roundoff error compensation value.
If non-`nullptr`, value behind the pointer is used as initial compensation
value and the resulting value is
Calculates a sum of a large range of floating-point numbers with roundoff error
compensation. Compared to for example `std::accumulate()` the algorithm
significantly reduces numerical error in the total. See Wikipedia for an
in-depth explanation: https://en.wikipedia.org/wiki/Kahan_summation_algorithm
Example with summation of a hundred million ones:
@code
std::vector<Float> data(100000000, 1.0f);
Float a = std::accumulate(data.begin(), data.end()); // 1.667e7f
Float b = Math::Algorithms::kahanSum(data.begin(), data.end()); // 1.000e8f
@endcode
If required, it is also possible to use this algorithm on non-contiguous ranges
or single values (for example when calculating sum of pixel values in an image
with some row padding or when the inputs are generated / converted from other
values):
@code
Containers::ArrayView<UnsignedByte> pixels;
Float sum = 0.0f, c = 0.0f;
for(UnsignedByte pixel: pixels) {
Float value = Math::normalize<Float>(pixel);
sum = Math::Algorithms::kahanSum(&value, &value + 1, sum, &c);
}
@endcode
*/
template<class Iterator, class T = typename std::decay<decltype(*std::declval<Iterator>())>::type> T kahanSum(Iterator begin, Iterator end, T sum = T(0), T* compensation = nullptr) {
T c = compensation ? *compensation : T(0);
for(Iterator it = begin; it != end; ++it) {
const T y = *it - c;
const T t = sum + y;
c = (t - sum) - y;
sum = t;
}
if(compensation) *compensation = c;
return sum;
}
}}}
#endif

1
src/Magnum/Math/Algorithms/Test/CMakeLists.txt

@ -25,5 +25,6 @@
corrade_add_test(MathAlgorithmsGaussJordanTest GaussJordanTest.cpp LIBRARIES MagnumMathTestLib)
corrade_add_test(MathAlgorithmsGramSchmidtTest GramSchmidtTest.cpp LIBRARIES MagnumMathTestLib)
corrade_add_test(MathAlgorithmsKahanSumTest KahanSumTest.cpp LIBRARIES MagnumMathTestLib)
corrade_add_test(MathAlgorithmsQrTest QrTest.cpp LIBRARIES MagnumMathTestLib)
corrade_add_test(MathAlgorithmsSvdTest SvdTest.cpp LIBRARIES MagnumMathTestLib)

166
src/Magnum/Math/Algorithms/Test/KahanSumTest.cpp

@ -0,0 +1,166 @@
/*
This file is part of Magnum.
Copyright © 2010, 2011, 2012, 2013, 2014, 2015, 2016
Vladimír Vondruš <mosra@centrum.cz>
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense,
and/or sell copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included
in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.
*/
#include <numeric>
#include <Corrade/TestSuite/Tester.h>
#include "Magnum/Magnum.h"
#include "Magnum/Math/Algorithms/KahanSum.h"
namespace Magnum { namespace Math { namespace Algorithms { namespace Test {
struct KahanSumTest: TestSuite::Tester {
explicit KahanSumTest();
void floats();
void integers();
void iterative();
void accumulate100k();
void kahan100k();
};
KahanSumTest::KahanSumTest() {
addTests({&KahanSumTest::floats,
&KahanSumTest::integers,
&KahanSumTest::iterative});
addBenchmarks({&KahanSumTest::accumulate100k,
&KahanSumTest::kahan100k}, 50);
}
namespace {
/* Custom iterator class to avoid allocating half a gigabyte for hundred
million values */
template<class T> struct Iterator
#ifdef CORRADE_MSVC2015_COMPATIBILITY
/* This is needed on MSVC in order to have std::accumulate() eat these
iterators properly. However, std::iterator is being deprecated in C++17
and the go-to way of typedef'ing all the things doesn't work (the
compiler complains about iterator_category not being defined in
std::iterator_traits) */
: std::iterator<std::forward_iterator_tag, T>
#endif
{
explicit Iterator(T value, std::size_t i = 0): _value{value}, _i{i} {}
bool operator!=(const Iterator& other) const { return _i != other._i; }
Iterator& operator++() {
++_i;
return *this;
}
T operator*() const { return _value; }
private:
T _value{};
std::size_t _i{};
};
}
void KahanSumTest::floats() {
Iterator<Float> begin{1.0f};
Iterator<Float> end{1.0f, 100000000};
CORRADE_COMPARE(kahanSum(begin, end), 1.0e8f);
{
#ifdef CORRADE_TARGET_EMSCRIPTEN
/* Last tested: emscripten 1.37.1 */
CORRADE_EXPECT_FAIL("Gives the same result as kahanSum(), might be "
"because doubles are used internally.");
#endif
CORRADE_COMPARE(std::accumulate(begin, end, 0.0f), 1.6777216e7f);
}
}
void KahanSumTest::integers() {
Iterator<Int> begin{1};
Iterator<Int> end{1, 100000};
CORRADE_COMPARE(kahanSum(begin, end), 100000);
CORRADE_COMPARE(std::accumulate(begin, end, 0.0f), 100000);
}
void KahanSumTest::iterative() {
Iterator<Float> begin{1.0f};
Iterator<Float> end{1.0f, 100000000};
Float sum{}, sumKahan{}, c{};
for(auto it = begin; it != end; ++it) {
Float d = *it;
sum += d;
sumKahan = kahanSum(&d, &d + 1, sumKahan, &c);
}
/* This is very weird on Emscripten. */
{
#ifdef CORRADE_TARGET_EMSCRIPTEN
/* Last tested: emscripten 1.37.1 */
CORRADE_EXPECT_FAIL_IF(sumKahan == 1.6777216e7f,
"Probably because of some misoptimization, happens only on -O1 "
"and not on larger optimization levels.");
#endif
CORRADE_COMPARE(sumKahan, 1.0e8f);
} {
#ifdef CORRADE_TARGET_EMSCRIPTEN
/* Last tested: emscripten 1.37.1 */
CORRADE_EXPECT_FAIL_IF(sumKahan == 1.0e8f,
"Gives the same result as kahanSum(), might be because doubles are "
"used internally. Happens only on larger optimization levels, not "
"on -O1.");
#endif
CORRADE_COMPARE(sum, 1.6777216e7f);
}
}
void KahanSumTest::accumulate100k() {
std::vector<Float> data(100000, 1.0f);
volatile Float a; /* to avoid optimizing the loop out */
CORRADE_BENCHMARK(10) {
a = std::accumulate(data.begin(), data.end(), 0.0f);
}
CORRADE_COMPARE(Float(a), 100000.0f);
}
void KahanSumTest::kahan100k() {
std::vector<Float> data(100000, 1.0f);
volatile Float a; /* to avoid optimizing the loop out */
CORRADE_BENCHMARK(10) {
a = kahanSum(data.begin(), data.end());
}
CORRADE_COMPARE(Float(a), 100000.0f);
}
}}}}
CORRADE_TEST_MAIN(Magnum::Math::Algorithms::Test::KahanSumTest)
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