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Loading 8 Characters from Memory into an __m256 Variable as Packed Single Precision Floats
In Gaussian blur algorithms, optimizing for faster execution can be achieved by efficiently loading data into vector registers. One such optimization involves replacing an array of floats with an __m256 variable. This article provides an optimal solution for this task, leveraging the power of AVX2 instructions.
Solution Using AVX2 Instructions
To effectively load 8 characters from memory into an __m256 variable using AVX2, the following instructions are recommended:
VPMOVZXBD ymm0, [rsi] ; or SX to sign-extend (Byte to DWord) VCVTDQ2PS ymm0, ymm0 ; convert to packed foat
Specifics of the Instructions
Additional Optimization
To further optimize this process, consider using a broadcast load to feed the VPMOVZXBD instruction and a Vpshufb instruction for the high 64 bits. This strategy reduces the overall uop count, improving efficiency:
<code class="pseudocode">__m256 b = [float(new_image[x+7]), float(new_image[x+6]), ... , float(new_image[x])]; __m256 b = _mm256_broadcast_ss(&new_image[x]) _mm256_shuffle_epi8(b, _mm256_set1_epi8(0)); // fills upper 64 bits with zeroes _mm256_cvtps_epu32(b); // convert to integers _mm256_cvtepu32_ps(b); // convert back to floats</code>
Avoid Suboptimal Techniques
Additional Considerations
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