sse

This question already has an answer here: inlining failed in call to always_inline ‘_mm_mullo_epi32’: target specific option mismatch 1 answer I am trying to compile this project from github which is implemented in C++ with SIMD intrinsic (SSE4.1). The project in github is given as a Visual Studio solution, but I am trying to port it in Qtcreator with cmake. While I am trying to compile it I get the following error: /usr/lib/gcc/x86_64-unknown-linux-gnu/5.3.0/include/smmintrin.h:520:1: error: inlining failed in call to always_inline '__m128i _mm_cvtepu8_epi32(__m128i)': target specific option

I am trying to convert a loop I have into a SSE intrinsics. I seem to have made fairly good progress, and by that I mean It's in the correct direction however I appear to have done some of the translation wrong somewhere as I am not getting the same "correct" answer which results from the non-sse code. My original loop which I unrolled by a factor of 4 looks like this: int unroll_n = (N/4)*4; for (int j = 0; j < unroll_n; j++) { for (int i = 0; i < unroll_n; i+=4) { float rx = x[j] - x[i]; float ry = y[j] - y[i]; float rz = z[j] - z[i]; float r2 = rx*rx + ry*ry + rz*rz + eps; float r2inv = 1

EDIT: As Cody Gray pointed out in his comment, profiling with disabled optimization is complete waste of time. How then should i approach this test? Microsoft in its XMVectorZero in case if defined _XM_SSE_INTRINSICS_ uses _mm_setzero_ps and {0.0f,0.0f,0.0f,0.0f} if don't. I decided to check how big is the win. So i used the following program in Release x86 and Configuration Properties>C/C++>Optimization>Optimization set to Disabled (/Od) . constexpr __int64 loops = 1e9; inline void fooSSE() { for (__int64 i = 0; i < loops; ++i) { XMVECTOR zero1 = _mm_setzero_ps(); //XMVECTOR zero2 = _mm

I have an image drawing routine which is compiled multiple times for SSE, SSE2, SSE3, SSE4.1, SSE4.2, AVX and AVX2. My program dynamically dispatches one of these binary variations by checking CPUID flags. On Windows, I check the version of Windows and disable AVX/AVX2 dispatch if the OS doesn't support them. (For example, only Windows 7 SP1 or later supports AVX/AVX2.) I want to do the same thing on Mac OS X, but I'm not sure what version of OS X supports AVX/AVX2. Note that what I want to know is the minimum version of OS X for use with AVX/AVX2. Not machine models which are capable of AVX

I have a version of OpenCV 2.4.10 Library which was built for Intel X64 on Windows. How can I know if the CV_SSE2 is active? I do not have the code. I just have the libs ,DLLs and headers. Thanks Miki You can check if SSE2 is enabled with the function checkHardwareSupport like: #include <opencv2/opencv.hpp> #include <iostream> int main() { cv::setUseOptimized(true); // Turn on optimization (if it was disabled) // Get other build information //std::cout << cv::getBuildInformation(); // Check SSE2 support std::cout << cv::checkHardwareSupport(CV_CPU_SSE2); return 0; } From the output of cv:

Here is my code's assembler Can you embed it in c ++ and check against SSE4? At speed I would very much like to see how stepped into the development of SSE4. Or is not worried about him at all? Let's check (I do not have support above SSSE3) { sse2 strcmp WideChar 32 bit } function CmpSee2(const P1, P2: Pointer; len: Integer): Boolean; asm push ebx // Create ebx cmp EAX, EDX // Str = Str2 je @@true // to exit true test eax, eax // not Str je @@false // to exit false test edx, edx // not Str2 je @@false // to exit false sub edx, eax // Str2 := Str2 - Str; mov ebx, [eax] // get Str 4 byte xor

What are the gcc's intrinsic for loading 4 ints into __m128 and 8 ints into __m256 (aligned/unaligned)? What about unsigned ints ? Mysticial Using Intel's SSE intrnisics, the ones you're looking for are: _mm_load_si128() _mm_loadu_si128() _mm256_load_si256() _mm256_loadu_si256() Documentation: https://software.intel.com/sites/landingpage/IntrinsicsGuide/#text=_mm_load_si128 https://software.intel.com/sites/landingpage/IntrinsicsGuide/#text=_mm256_load_si256 There's no distinction between signed or unsigned. You'll need to cast the pointer to __m128i* or __m256i* . Note that these are Intel's