Just a proposition, I don't know if it is possible, so I need your advices
_mm256_xor_si256 | Compute the bitwise XOR of the 256-bit integer value of a and b. |
char szString1[32] ;
_mm256_xor_si256(
szString1,
szString1) ;
That would fill a 32 bytes string with 0.
(https://forum.pellesc.de/data:image/png;base64,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)
__m256i a = _mm256_loadu_si256((__m256i*) _szTmp1);
__m256i b = _mm256_loadu_si256((__m256i*) _szTmp1);
_mm256_xor_si256(a,b) ;
The compiler does not generate code for __mm_xor_si256 but it does for loading the two addresses
The goo syntax for storing 32 Zeroes in a string is:
__m256i a = _mm256_loadu_si256((__m256i*) _szTmp1) ;
__m256i b = _mm256_loadu_si256((__m256i*) _szTmp1) ;
__m256i c = _mm256_xor_si256(a,b) ;
__mm256_storeu_si256((__m256i*) _szTmp1,c) ;
Verified under Pelle's C Compiler with pope
0x0000ED51 vmovdqu ymm0,ymmword ptr [rsp+188] C5 FE 6F 84 24 88 01 00 00
0x0000ED5A vmovdqu ymm1,ymmword ptr [rsp+188] C5 FE 6F 8C 24 88 01 00 00
0x0000ED63 vpxor ymm0,ymm0,ymm1 C5 FD EF C1
0x0000ED67 vmovdqu ymmword ptr [rsp+188],ymm0 C5 FE 7F 84 24 88 01 00 00
Helped with this link: https://jcma.me/blog/2017/01/23/accelerate-c-code-with-avx2-instructions (https://jcma.me/blog/2017/01/23/accelerate-c-code-with-avx2-instructions)
/arch option (POCC) [9.00] :
QuoteSyntax:
/arch:{SSE2 | AVX | AVX2}
QuoteDescription:
The /arch option selects the processor architecture (for X64).
Architecture Description Default
SSE2 Enable use of Streaming SIMD Extensions 2 instructions. Yes
AVX Enable use of Advanced Vector Extensions instructions. No
AVX2 Enable use of Advanced Vector Extensions 2 instructions. No
Hi Vortex
In the project file I select the SSE2 for the code generation
Could it be possible to compute the mean of RGB values with these instruction; I am searching.
I think that first I must have A0R0G0B int this order for the number and after it is possible to add them.
It's an idea, maybe I dream
Thank you for your comments