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rework AddVectorEq_SSE2
Take advantage of the known sizes used by VP8LHistogramAdd() and remove loop for the remainder. The loop was being auto-vectorized making the code larger and slower than the vectorized C code. For larger sizes the new code is ~3-4.5% faster than the old code with about the same improvement against the vectorized C code. For the minimal size (40), the new code is ~30% faster than the C and old SSE2 code. The LINE_SIZE==8 option is removed with this change. It had been set to 16 for its entire life and clang-16 was unrolling the LINE_SIZE==8 case by 2 in any case; they both profile similarly. Change-Id: I6dfedfd57474f44d15e2ce510a48e5252221077a
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@ -224,35 +224,53 @@ static void AddVector_SSE2(const uint32_t* WEBP_RESTRICT a,
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}
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}
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#define LINE_SIZE 16 // 8 or 16
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static void AddVectorEq_SSE2(const uint32_t* WEBP_RESTRICT a,
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uint32_t* WEBP_RESTRICT out, int size) {
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int i;
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for (i = 0; i + LINE_SIZE <= size; i += LINE_SIZE) {
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int i = 0;
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int aligned_size = size & ~15;
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// Size is, at minimum, NUM_DISTANCE_CODES (40) and may be as large as
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// NUM_LITERAL_CODES (256) + NUM_LENGTH_CODES (24) + (0 or a non-zero power of
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// 2). See the usage in VP8LHistogramAdd().
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assert(size >= 16);
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assert(size % 2 == 0);
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do {
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const __m128i a0 = _mm_loadu_si128((const __m128i*)&a[i + 0]);
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const __m128i a1 = _mm_loadu_si128((const __m128i*)&a[i + 4]);
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#if (LINE_SIZE == 16)
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const __m128i a2 = _mm_loadu_si128((const __m128i*)&a[i + 8]);
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const __m128i a3 = _mm_loadu_si128((const __m128i*)&a[i + 12]);
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#endif
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const __m128i b0 = _mm_loadu_si128((const __m128i*)&out[i + 0]);
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const __m128i b1 = _mm_loadu_si128((const __m128i*)&out[i + 4]);
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#if (LINE_SIZE == 16)
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const __m128i b2 = _mm_loadu_si128((const __m128i*)&out[i + 8]);
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const __m128i b3 = _mm_loadu_si128((const __m128i*)&out[i + 12]);
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#endif
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_mm_storeu_si128((__m128i*)&out[i + 0], _mm_add_epi32(a0, b0));
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_mm_storeu_si128((__m128i*)&out[i + 4], _mm_add_epi32(a1, b1));
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#if (LINE_SIZE == 16)
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_mm_storeu_si128((__m128i*)&out[i + 8], _mm_add_epi32(a2, b2));
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_mm_storeu_si128((__m128i*)&out[i + 12], _mm_add_epi32(a3, b3));
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#endif
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i += 16;
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} while (i != aligned_size);
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if ((size & 8) != 0) {
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const __m128i a0 = _mm_loadu_si128((const __m128i*)&a[i + 0]);
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const __m128i a1 = _mm_loadu_si128((const __m128i*)&a[i + 4]);
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const __m128i b0 = _mm_loadu_si128((const __m128i*)&out[i + 0]);
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const __m128i b1 = _mm_loadu_si128((const __m128i*)&out[i + 4]);
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_mm_storeu_si128((__m128i*)&out[i + 0], _mm_add_epi32(a0, b0));
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_mm_storeu_si128((__m128i*)&out[i + 4], _mm_add_epi32(a1, b1));
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i += 8;
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}
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for (; i < size; ++i) {
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out[i] += a[i];
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size &= 7;
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if (size == 4) {
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const __m128i a0 = _mm_loadu_si128((const __m128i*)&a[i]);
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const __m128i b0 = _mm_loadu_si128((const __m128i*)&out[i]);
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_mm_storeu_si128((__m128i*)&out[i], _mm_add_epi32(a0, b0));
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} else if (size == 2) {
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const __m128i a0 = _mm_loadl_epi64((const __m128i*)&a[i]);
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const __m128i b0 = _mm_loadl_epi64((const __m128i*)&out[i]);
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_mm_storel_epi64((__m128i*)&out[i], _mm_add_epi32(a0, b0));
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}
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}
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#undef LINE_SIZE
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//------------------------------------------------------------------------------
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// Entropy
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