Time performance - ippiCrossCorrNorm_32f_C1R

Hi,

I have compared the time performance of cross-correlation (with normalized coefficients) in Ipp 7.0 vs Ipp 2018. In my test, the old version is 2x - 3x faster. I have disabled the hyper-threding from Bios. I have tried to use versions for different processors (y8, e9, I9). 

VTune (trial) shows that Ipp 2018 version of cross-correlation has no multi-threading compared to Ipp 7.0.

Is there something I'm missing? The only difference between the 2 tests is the call for cross-correlation.

My processor is an Intel Core i7 4790.

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Test #1: Ipp 2018

Lib info:

targetCpu: I9

Name: "ippCV AVX2 (I9)"

Version: "2018.0.3 (r58644)"

BuildDate: "Apr 7 2018"

Code:

CGenericImage imInput; // 2048 x 2048, 8-bit image loaded from hdd

CGenericImage imInput_32f; // input image converted to Ipp32f

CGenericImage imTemplate_32f; // generated gaussian template, 9x9

CGenericImage imOutput_32f; // score image

IppiSize szImage = { imInput.m_nWidth, imInput.m_nHeight };

IppiSize szTemplate = { imTemplate_32f.m_nWidth, imTemplate_32f.m_nHeight };

st |= ippiConvert_8u32f_C1R((Ipp8u*)imInput.m_pData, imInput.m_nStep, (Ipp32f*)imInput_32f.m_pData, imInput_32f.m_nStep, szImage);

Ipp8u* pBuffer = NULL;

int nBufferSize = 0;

st |= ippiCrossCorrNormGetBufferSize(szImage, szTemplate, algType, &nBufferSize);

pBuffer = ippsMalloc_8u(nBufferSize);

IppEnum algType = (IppEnum)(ippAlgAuto | ippiROISame | ippiNormCoefficient);

st |= ippiCrossCorrNorm_32f_C1R((Ipp32f*)imInput_32f.m_pData, imInput_32f.m_nStep, szImage

, (Ipp32f*)imTemplate_32f.m_pData, imTemplate_32f.m_nStep, szTemplate

, (Ipp32f*)imOutput_32f.m_pData, imOutput_32f.m_nStep, algType, pBuffer);

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Test #2: Ipp 7.0

Lib info:

targetCpu: e9

Name: "ippcve9-7.0.dll"

Version: "7.0 build 250.85"

BuildDate: "Nov 27 2011"

Code:

CGenericImage imInput; // 2048 x 2048, 8-bit image loaded from hdd

CGenericImage imInput_32f; // input image converted to Ipp32f

CGenericImage imTemplate_32f; // generated gaussian template, 9x9

CGenericImage imOutput_32f; // score image

IppiSize szImage = { imInput.m_nWidth, imInput.m_nHeight };

IppiSize szTemplate = { imTemplate_32f.m_nWidth, imTemplate_32f.m_nHeight };

st = ippiConvert_8u32f_C1R((Ipp8u*)imInput.m_pData, imInput.m_nStep, (Ipp32f*)imInput_32f.m_pData, imInput_32f.m_nStep, szImage);

st = ippiCrossCorrSame_NormLevel_32f_C1R((Ipp32f*)imInput_32f.m_pData, imInput_32f.m_nStep, szImage

, (Ipp32f*)imTemplate_32f.m_pData, imTemplate_32f.m_nStep, szTemplate

, (Ipp32f*)imOutput_32f.m_pData, imOutput_32f.m_nStep);

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