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diff --git a/arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h b/arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h
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+/*
+ * Copyright (c) 2017 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.
+ */
+#ifndef __ARM_COMPUTE_GCGEMMMATRIXMULTIPLYKERNEL_H__
+#define __ARM_COMPUTE_GCGEMMMATRIXMULTIPLYKERNEL_H__
+
+#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
+
+namespace arm_compute
+{
+class IGCTensor;
+
+/** GLES Compute kernel to multiply two input matrices "A" and "B" or to multiply a vector "A" by a matrix "B". All elements of the output matrix/vector will be multiplied by alpha
+ *
+ * @note If the output tensor is a matrix, the implementation assumes that the input tensors @p input0 and @p input1 are both matrices and reshaped respectively with @ref GCGEMMInterleave4x4Kernel" and @ref GCGEMMTranspose1xWKernel
+ * @note If the output tensor is a vector and the data type is F32, the implementation assumes that the first input tensor @p input0 is a vector and the second input tensor @p input1 a matrix. The implementation also assumes that both tensors have not been reshaped
+ *
+ * @attention The second input tensor must have at least 2 dimensions (matrix)
+ *
+ */
+class GCGEMMMatrixMultiplyKernel : public IGCKernel
+{
+public:
+    /** Default constructor */
+    GCGEMMMatrixMultiplyKernel();
+
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    GCGEMMMatrixMultiplyKernel(const GCGEMMMatrixMultiplyKernel &) = delete;
+
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    GCGEMMMatrixMultiplyKernel &operator=(const GCGEMMMatrixMultiplyKernel &) = delete;
+
+    /** Allow instances of this class to be moved */
+    GCGEMMMatrixMultiplyKernel(GCGEMMMatrixMultiplyKernel &&) = default;
+
+    /** Allow instances of this class to be moved */
+    GCGEMMMatrixMultiplyKernel &operator=(GCGEMMMatrixMultiplyKernel &&) = default;
+
+    /** Initialise the kernel's input, output and alpha
+     *
+     * @param[in]  input0                    Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32
+     * @param[in]  input1                    Input tensor containing the transposed Matrix B if the first input tensor A is not a vector.
+     *                                       If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as @p input0
+     * @param[out] output                    Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0
+     * @param[in]  alpha                     Weight of the matrix product
+     * @param[in]  is_interleaved_transposed (Optional) True if input0 and input1 have been reshaped respectively using @ref GCGEMMInterleave4x4Kernel and @ref GCGEMMTranspose1xWKernel
+     */
+    void configure(const IGCTensor *input0, const IGCTensor *input1, IGCTensor *output, float alpha, bool is_interleaved_transposed = true);
+
+    // Inherited methods overridden:
+    void run(const Window &window) override;
+
+private:
+    const IGCTensor *_input0;
+    const IGCTensor *_input1;
+    IGCTensor       *_output;
+};
+}
+#endif /* __ARM_COMPUTE_GCGEMMMATRIXMULTIPLYKERNEL_H__ */