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diff --git a/src/routines/level1/xaxpy.cpp b/src/routines/level1/xaxpy.cpp
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+++ b/src/routines/level1/xaxpy.cpp
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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 Xaxpy class (see the header for information about the class).
+//
+// =================================================================================================
+
+#include "routines/level1/xaxpy.hpp"
+
+#include <string>
+#include <vector>
+
+namespace clblast {
+// =================================================================================================
+
+// Constructor: forwards to base class constructor
+template <typename T>
+Xaxpy<T>::Xaxpy(Queue &queue, EventPointer event, const std::string &name):
+    Routine(queue, event, name, {"Xaxpy"}, PrecisionValue<T>()) {
+  source_string_ =
+    #include "../../kernels/level1/level1.opencl"
+    #include "../../kernels/level1/xaxpy.opencl"
+  ;
+}
+
+// =================================================================================================
+
+// The main routine
+template <typename T>
+StatusCode Xaxpy<T>::DoAxpy(const size_t n, const T alpha,
+                            const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
+                            const Buffer<T> &y_buffer, const size_t y_offset, const size_t y_inc) {
+
+  // Makes sure all dimensions are larger than zero
+  if (n == 0) { return StatusCode::kInvalidDimension; }
+
+  // Tests the vectors for validity
+  auto status = TestVectorX(n, x_buffer, x_offset, x_inc);
+  if (ErrorIn(status)) { return status; }
+  status = TestVectorY(n, y_buffer, y_offset, y_inc);
+  if (ErrorIn(status)) { return status; }
+
+  // Determines whether or not the fast-version can be used
+  bool use_fast_kernel = (x_offset == 0) && (x_inc == 1) &&
+                         (y_offset == 0) && (y_inc == 1) &&
+                         IsMultiple(n, db_["WGS"]*db_["WPT"]*db_["VW"]);
+
+  // If possible, run the fast-version of the kernel
+  auto kernel_name = (use_fast_kernel) ? "XaxpyFast" : "Xaxpy";
+
+  // Retrieves the Xaxpy kernel from the compiled binary
+  try {
+    const auto program = GetProgramFromCache(context_, PrecisionValue<T>(), routine_name_);
+    auto kernel = Kernel(program, kernel_name);
+
+    // Upload the scalar argument as a constant buffer to the device (needed for half-precision)
+    auto alpha_buffer = Buffer<T>(context_, 1);
+    alpha_buffer.Write(queue_, 1, &alpha);
+
+    // Sets the kernel arguments
+    if (use_fast_kernel) {
+      kernel.SetArgument(0, static_cast<int>(n));
+      kernel.SetArgument(1, alpha_buffer());
+      kernel.SetArgument(2, x_buffer());
+      kernel.SetArgument(3, y_buffer());
+    }
+    else {
+      kernel.SetArgument(0, static_cast<int>(n));
+      kernel.SetArgument(1, alpha_buffer());
+      kernel.SetArgument(2, x_buffer());
+      kernel.SetArgument(3, static_cast<int>(x_offset));
+      kernel.SetArgument(4, static_cast<int>(x_inc));
+      kernel.SetArgument(5, y_buffer());
+      kernel.SetArgument(6, static_cast<int>(y_offset));
+      kernel.SetArgument(7, static_cast<int>(y_inc));
+    }
+
+    // Launches the kernel
+    if (use_fast_kernel) {
+      auto global = std::vector<size_t>{CeilDiv(n, db_["WPT"]*db_["VW"])};
+      auto local = std::vector<size_t>{db_["WGS"]};
+      status = RunKernel(kernel, queue_, device_, global, local, event_);
+    }
+    else {
+      auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]);
+      auto global = std::vector<size_t>{n_ceiled/db_["WPT"]};
+      auto local = std::vector<size_t>{db_["WGS"]};
+      status = RunKernel(kernel, queue_, device_, global, local, event_);
+    }
+    if (ErrorIn(status)) { return status; }
+
+    // Succesfully finished the computation
+    return StatusCode::kSuccess;
+  } catch (...) { return StatusCode::kInvalidKernel; }
+}
+
+// =================================================================================================
+
+// Compiles the templated class
+template class Xaxpy<half>;
+template class Xaxpy<float>;
+template class Xaxpy<double>;
+template class Xaxpy<float2>;
+template class Xaxpy<double2>;
+
+// =================================================================================================
+} // namespace clblast