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This draft pull request introduces AVX2 optimizations to speed up large batch size prompt processing for IQ models in llama.cpp, an open-source tool for efficient LLM inference.
A systematic exploration of FP32 matrix multiplication optimization on AMD Zen 3, achieving 85.30 GFLOPS (63.5% of theoretical peak) using AVX2/FMA intrinsics, surpassing naive implementation by 56.5x and matching optimized libraries.
An in-depth technical blog post explaining how to efficiently transpose matrices using SIMD instructions on modern x86_64 CPUs, focusing on AVX2 intrinsics like _mm256_shuffle_epi8.