diff --git a/src/gpu/cl/kernels/ClWidthConcatenate2TensorsKernel.cpp b/src/gpu/cl/kernels/ClWidthConcatenate2TensorsKernel.cpp
new file mode 100644
index 0000000..6e7b7f6
--- /dev/null
+++ b/src/gpu/cl/kernels/ClWidthConcatenate2TensorsKernel.cpp
@@ -0,0 +1,159 @@
+/*
+ * Copyright (c) 2018-2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "src/gpu/cl/kernels/ClWidthConcatenate2TensorsKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/core/CL/CLValidate.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "src/core/utils/helpers/tensor_info.h"
+#include "support/Cast.h"
+
+#include "support/StringSupport.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src1, src2, dst);
+    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src1);
+    ARM_COMPUTE_RETURN_ERROR_ON(src1->data_type() == DataType::UNKNOWN);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src1, src2, dst);
+    ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(0) + src2->dimension(0) > dst->dimension(0));
+
+    for(size_t i = 1; i < Coordinates::num_max_dimensions; ++i)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(i) != dst->dimension(i));
+        ARM_COMPUTE_RETURN_ERROR_ON(src2->dimension(i) != dst->dimension(i));
+    }
+    ARM_COMPUTE_RETURN_ERROR_ON(src1->num_dimensions() > 4);
+
+    return Status{};
+}
+} // namespace
+
+Status ClWidthConcatenate2TensorsKernel::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src1, src2, dst));
+    return Status{};
+}
+
+ClWidthConcatenate2TensorsKernel::ClWidthConcatenate2TensorsKernel()
+{
+    _type = CLKernelType::ELEMENTWISE;
+}
+
+void ClWidthConcatenate2TensorsKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src1, src2, dst);
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src1, src2, dst));
+
+    auto padding_info = get_padding_info({ src1, src2, dst });
+
+    const unsigned int min_dimension                     = std::min(src1->dimension(0), src2->dimension(0));
+    const unsigned int num_elems_processed_per_iteration = adjust_vec_size(8, min_dimension);
+    const unsigned int vec_size_leftover                 = dst->dimension(0) % num_elems_processed_per_iteration;
+
+    // Add build options
+    CLBuildOptions build_opts;
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src1->data_type()));
+    build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
+    build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_leftover));
+    build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(src1->dimension(2)));
+    build_opts.add_option("-DINPUT1_WIDTH=" + support::cpp11::to_string(src1->dimension(0)));
+    build_opts.add_option("-DINPUT2_WIDTH=" + support::cpp11::to_string(src2->dimension(0)));
+    build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(src1->element_size()));
+    build_opts.add_option("-DINPUT1_ROTATE_N=" + support::cpp11::to_string((src1->dimension(0) - vec_size_leftover) % num_elems_processed_per_iteration));
+
+    // If input have different quantization info set quantization parameters needed for the re-quantization process
+    const bool have_different_qinfo = helpers::tensor_info::tensors_have_different_quantization_info(dst, src1, src2);
+    if(is_data_type_quantized_asymmetric(src1->data_type()) && have_different_qinfo)
+    {
+        const UniformQuantizationInfo iq1_info = src1->quantization_info().uniform();
+        const UniformQuantizationInfo iq2_info = src2->quantization_info().uniform();
+        const UniformQuantizationInfo oq_info  = dst->quantization_info().uniform();
+
+        build_opts.add_option("-DOFFSET_IN1=" + float_to_string_with_full_precision(iq1_info.offset));
+        build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq1_info.scale));
+        build_opts.add_option("-DOFFSET_IN2=" + float_to_string_with_full_precision(iq2_info.offset));
+        build_opts.add_option("-DSCALE_IN2=" + float_to_string_with_full_precision(iq2_info.scale));
+        build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(oq_info.offset));
+        build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oq_info.scale));
+    }
+
+    // Create kernel
+    _kernel = create_kernel(compile_context, "concatenate_width_x2", build_opts.options());
+
+    // Configure kernel window
+    Window win = calculate_max_window(*dst, Steps(num_elems_processed_per_iteration));
+    ICLKernel::configure_internal(win.collapse(win, Window::DimZ));
+
+    ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+
+    // Set config_id for enabling LWS tuning
+    _config_id = "concatenate_width_x2_";
+    _config_id += lower_string(string_from_data_type(src1->data_type()));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(src1->dimension(0));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(src1->dimension(1));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(src2->dimension(0));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(src2->dimension(1));
+}
+
+void ClWidthConcatenate2TensorsKernel::run_op(ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window slice = window.first_slice_window_4D();
+
+    const auto src0 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_VEC));
+    const auto src1 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_VEC + 1));
+    auto       dst  = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+
+    do
+    {
+        unsigned int idx = 0;
+        add_4D_tensor_argument(idx, src0, slice);
+        add_4D_tensor_argument(idx, src1, slice);
+        add_4D_tensor_argument(idx, dst, slice);
+        enqueue(queue, *this, window, lws_hint());
+    }
+    while(window.slide_window_slice_4D(slice));
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute