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diff --git a/src/routines/level2/xher.cc b/src/routines/level2/xher.cc
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+
+// =================================================================================================
+// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
+// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
+// width of 100 characters per line.
+//
+// Author(s):
+//   Cedric Nugteren <www.cedricnugteren.nl>
+//
+// This file implements the Xher class (see the header for information about the class).
+//
+// =================================================================================================
+
+#include "internal/routines/level2/xher.h"
+
+#include <string>
+
+namespace clblast {
+// =================================================================================================
+
+// Specific implementations to get the memory-type based on a template argument
+template <> const Precision Xher<float, float>::precision_ = Precision::kSingle;
+template <> const Precision Xher<double, double>::precision_ = Precision::kDouble;
+template <> const Precision Xher<float2, float>::precision_ = Precision::kComplexSingle;
+template <> const Precision Xher<double2, double>::precision_ = Precision::kComplexDouble;
+
+// =================================================================================================
+
+// Constructor: forwards to base class constructor
+template <typename T, typename U>
+Xher<T,U>::Xher(Queue &queue, Event &event, const std::string &name):
+    Routine<T>(queue, event, name, {"Xger"}, precision_) {
+  source_string_ =
+    #include "../../kernels/level2/level2.opencl"
+    #include "../../kernels/level2/xher.opencl"
+  ;
+}
+
+// =================================================================================================
+
+// Specializations to compute alpha of type 'T'
+template <> float2 Xher<float2,float>::GetAlpha(const float alpha) { return float2{alpha, 0.0f}; }
+template <> double2 Xher<double2,double>::GetAlpha(const double alpha) { return double2{alpha, 0.0}; }
+template <> float Xher<float,float>::GetAlpha(const float alpha) { return alpha; }
+template <> double Xher<double,double>::GetAlpha(const double alpha) { return alpha; }
+
+// =================================================================================================
+
+// The main routine
+template <typename T, typename U>
+StatusCode Xher<T,U>::DoHer(const Layout layout, const Triangle triangle,
+                            const size_t n,
+                            const U alpha,
+                            const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
+                            const Buffer<T> &a_buffer, const size_t a_offset, const size_t a_ld,
+                            const bool packed) {
+
+  // Makes sure the dimensions are larger than zero
+  if (n == 0) { return StatusCode::kInvalidDimension; }
+
+  // The data is either in the upper or lower triangle
+  const auto is_upper = ((triangle == Triangle::kUpper && layout != Layout::kRowMajor) ||
+                         (triangle == Triangle::kLower && layout == Layout::kRowMajor));
+  const auto is_rowmajor = (layout == Layout::kRowMajor);
+
+  // Creates a matching version of alpha
+  const auto matching_alpha = GetAlpha(alpha);
+
+  // Tests the matrix and the vectors for validity
+  auto status = StatusCode::kSuccess;
+  if (packed) { status = TestMatrixAP(n, a_buffer, a_offset, sizeof(T)); }
+  else { status = TestMatrixA(n, n, a_buffer, a_offset, a_ld, sizeof(T)); }
+  if (ErrorIn(status)) { return status; }
+  status = TestVectorX(n, x_buffer, x_offset, x_inc, sizeof(T));
+  if (ErrorIn(status)) { return status; }
+
+  // If alpha is zero an update is not required
+  if (alpha == U{0}) { return StatusCode::kSuccess; }
+
+  // Retrieves the Xgemv kernel from the compiled binary
+  try {
+    auto& program = GetProgramFromCache();
+    auto kernel = Kernel(program, "Xher");
+
+    // Sets the kernel arguments
+    kernel.SetArgument(0, static_cast<int>(n));
+    kernel.SetArgument(1, matching_alpha);
+    kernel.SetArgument(2, x_buffer());
+    kernel.SetArgument(3, static_cast<int>(x_offset));
+    kernel.SetArgument(4, static_cast<int>(x_inc));
+    kernel.SetArgument(5, a_buffer());
+    kernel.SetArgument(6, static_cast<int>(a_offset));
+    kernel.SetArgument(7, static_cast<int>(a_ld));
+    kernel.SetArgument(8, static_cast<int>(is_upper));
+    kernel.SetArgument(9, static_cast<int>(is_rowmajor));
+
+    // Launches the kernel
+    auto global_one = CeilDiv(Ceil(n, db_["WGS1"]), db_["WPT"]);
+    auto global_two = CeilDiv(Ceil(n, db_["WGS2"]), db_["WPT"]);
+    auto global = std::vector<size_t>{global_one, global_two};
+    auto local = std::vector<size_t>{db_["WGS1"], db_["WGS2"]};
+    status = RunKernel(kernel, global, local);
+    if (ErrorIn(status)) { return status; }
+
+    // Waits for all kernels to finish
+    queue_.Finish();
+
+    // Succesfully finished the computation
+    return StatusCode::kSuccess;
+  } catch (...) { return StatusCode::kInvalidKernel; }
+}
+
+// =================================================================================================
+
+// Compiles the templated class
+template class Xher<float, float>;
+template class Xher<double, double>;
+template class Xher<float2, float>;
+template class Xher<double2, double>;
+
+// =================================================================================================
+} // namespace clblast