--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/mupdf-source/thirdparty/tesseract/src/arch/dotproductfma.cpp	Mon Sep 15 11:43:07 2025 +0200
@@ -0,0 +1,90 @@
+///////////////////////////////////////////////////////////////////////
+// File:        dotproductfma.cpp
+// Description: Architecture-specific dot-product function.
+// Author:      Stefan Weil
+//
+// (C) Copyright 2015, Google Inc.
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+///////////////////////////////////////////////////////////////////////
+
+#if !defined(__FMA__)
+#  if defined(__i686__) || defined(__x86_64__)
+#    error Implementation only for FMA capable architectures
+#  endif
+#else
+
+#  include <immintrin.h>
+#  include <cstdint>
+#  include "dotproduct.h"
+
+namespace tesseract {
+
+// Computes and returns the dot product of the n-vectors u and v.
+// Uses Intel FMA intrinsics to access the SIMD instruction set.
+#if defined(FAST_FLOAT)
+float DotProductFMA(const float *u, const float *v, int n) {
+  const unsigned quot = n / 16;
+  const unsigned rem = n % 16;
+  __m256 t0 = _mm256_setzero_ps();
+  __m256 t1 = _mm256_setzero_ps();
+  for (unsigned k = 0; k < quot; k++) {
+    __m256 f0 = _mm256_loadu_ps(u);
+    __m256 f1 = _mm256_loadu_ps(v);
+    t0 = _mm256_fmadd_ps(f0, f1, t0);
+    u += 8;
+    v += 8;
+    __m256 f2 = _mm256_loadu_ps(u);
+    __m256 f3 = _mm256_loadu_ps(v);
+    t1 = _mm256_fmadd_ps(f2, f3, t1);
+    u += 8;
+    v += 8;
+  }
+  t0 = _mm256_hadd_ps(t0, t1);
+  alignas(32) float tmp[8];
+  _mm256_store_ps(tmp, t0);
+  float result = tmp[0] + tmp[1] + tmp[2] + tmp[3] + tmp[4] + tmp[5] + tmp[6] + tmp[7];
+  for (unsigned k = 0; k < rem; k++) {
+    result += *u++ * *v++;
+  }
+  return result;
+}
+#else
+double DotProductFMA(const double *u, const double *v, int n) {
+  const unsigned quot = n / 8;
+  const unsigned rem = n % 8;
+  __m256d t0 = _mm256_setzero_pd();
+  __m256d t1 = _mm256_setzero_pd();
+  for (unsigned k = 0; k < quot; k++) {
+    __m256d f0 = _mm256_loadu_pd(u);
+    __m256d f1 = _mm256_loadu_pd(v);
+    t0 = _mm256_fmadd_pd(f0, f1, t0);
+    u += 4;
+    v += 4;
+    __m256d f2 = _mm256_loadu_pd(u);
+    __m256d f3 = _mm256_loadu_pd(v);
+    t1 = _mm256_fmadd_pd(f2, f3, t1);
+    u += 4;
+    v += 4;
+  }
+  t0 = _mm256_hadd_pd(t0, t1);
+  alignas(32) double tmp[4];
+  _mm256_store_pd(tmp, t0);
+  double result = tmp[0] + tmp[1] + tmp[2] + tmp[3];
+  for (unsigned k = 0; k < rem; k++) {
+    result += *u++ * *v++;
+  }
+  return result;
+}
+#endif
+
+} // namespace tesseract.
+
+#endif