Kaydet (Commit) 5493402f authored tarafından Tomaž Vajngerl's avatar Tomaž Vajngerl Kaydeden (comit) Tomaž Vajngerl

arraysumfunctor: fast sum a double array, use for SUM() in Calc

This adds an array sum functor which sums a double array in a
as fast as possible way. There are 2 implementations: SSE2 and
a simple unrolled implementation. SSE2 implementation is used if
SSE2 is detected at runtime.

Additional info:
SSE implementation at first processes the array until the array is
aligned by 16-bit boundary (should only process 1 element).
Then the array is processed by summing 8 values in one pass (using
4 variables that are 128-bit wide) where SSE operation can process
2 double values in one call.

Change-Id: I24494b08cae049aa3eabcb086867f1bdd4128374
üst 154bcd88
/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
* This file is part of the LibreOffice project.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
*/
#ifndef INCLUDED_SC_SOURCE_CORE_INC_ARRAYSUMFUNCTOR_HXX
#define INCLUDED_SC_SOURCE_CORE_INC_ARRAYSUMFUNCTOR_HXX
#include <emmintrin.h>
#include <tools/cpuid.hxx>
namespace sc
{
template<typename T, unsigned int N>
inline bool isAligned(const T* pointer)
{
return 0 == (uintptr_t(pointer) % N);
}
struct ArraySumFunctor
{
private:
const double* mpArray;
size_t mnSize;
public:
ArraySumFunctor(const double* pArray, size_t nSize)
: mpArray(pArray)
, mnSize(nSize)
{
}
double operator() ()
{
static bool hasSSE2 = tools::cpuid::hasSSE2();
double fSum = 0.0;
size_t i = 0;
const double* pCurrent = mpArray;
if (hasSSE2)
{
while (!isAligned<double, 16>(pCurrent))
{
fSum += *pCurrent++;
i++;
}
fSum += executeSSE2(i, pCurrent);
}
else
fSum += executeUnrolled(i, pCurrent);
// sum rest of the array
for (; i < mnSize; ++i)
fSum += mpArray[i];
return fSum;
}
private:
inline double executeSSE2(size_t& i, const double* pCurrent) const
{
double fSum = 0.0;
size_t nRealSize = mnSize - i;
size_t nUnrolledSize = nRealSize - (nRealSize % 8);
if (nUnrolledSize > 0)
{
__m128d sum1 = _mm_setzero_pd();
__m128d sum2 = _mm_setzero_pd();
__m128d sum3 = _mm_setzero_pd();
__m128d sum4 = _mm_setzero_pd();
for (; i < nUnrolledSize; i += 8)
{
__m128d load1 = _mm_load_pd(pCurrent);
sum1 = _mm_add_pd(sum1, load1);
pCurrent += 2;
__m128d load2 = _mm_load_pd(pCurrent);
sum2 = _mm_add_pd(sum2, load2);
pCurrent += 2;
__m128d load3 = _mm_load_pd(pCurrent);
sum3 = _mm_add_pd(sum3, load3);
pCurrent += 2;
__m128d load4 = _mm_load_pd(pCurrent);
sum4 = _mm_add_pd(sum4, load4);
pCurrent += 2;
}
sum1 = _mm_add_pd(_mm_add_pd(sum1, sum2), _mm_add_pd(sum3, sum4));
double temp;
_mm_storel_pd(&temp, sum1);
fSum += temp;
_mm_storeh_pd(&temp, sum1);
fSum += temp;
}
return fSum;
}
inline double executeUnrolled(size_t& i, const double* pCurrent) const
{
size_t nRealSize = mnSize - i;
size_t nUnrolledSize = nRealSize - (nRealSize % 4);
if (nUnrolledSize > 0)
{
double sum0 = 0.0;
double sum1 = 0.0;
double sum2 = 0.0;
double sum3 = 0.0;
for (; i < nUnrolledSize; i += 4)
{
sum0 += *pCurrent++;
sum1 += *pCurrent++;
sum2 += *pCurrent++;
sum3 += *pCurrent++;
}
return sum0 + sum1 + sum2 + sum3;
}
return 0.0;
}
};
} // end namespace sc
#endif
/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
......@@ -26,6 +26,8 @@
#include "mtvcellfunc.hxx"
#include "scmatrix.hxx"
#include "arraysumfunctor.hxx"
#include <formula/token.hxx>
using namespace formula;
......@@ -235,18 +237,9 @@ public:
if (nDataSize == 0)
return;
size_t nUnrolled = (nDataSize & 0x3) >> 2;
sc::ArraySumFunctor functor(p, nDataSize);
// Try to encourage the compiler/CPU to do something sensible for the next.
for (i = 0; i < nUnrolled; i+=4)
{
mfRest += p[i];
mfRest += p[i+1];
mfRest += p[i+2];
mfRest += p[i+3];
}
for (; i < nDataSize; ++i)
mfRest += p[i];
mfRest += functor();
break;
}
......
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