adding the cutlass examples

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diff --git a/cutlass-example/cutlass/gemm/linear_scaling.h b/cutlass-example/cutlass/gemm/linear_scaling.h
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+/***************************************************************************************************
+ * Copyright (c) 2017-2018, NVIDIA CORPORATION.  All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without modification, are permitted
+ * provided that the following conditions are met:
+ *     * Redistributions of source code must retain the above copyright notice, this list of
+ *       conditions and the following disclaimer.
+ *     * Redistributions in binary form must reproduce the above copyright notice, this list of
+ *       conditions and the following disclaimer in the documentation and/or other materials
+ *       provided with the distribution.
+ *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
+ *       to endorse or promote products derived from this software without specific prior written
+ *       permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
+ * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
+ * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+ * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+ * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
+ * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ **************************************************************************************************/
+/*! \file
+    \brief Implements the BLAS linear scaling function alpha*AB + beta*C
+*/
+#pragma once
+
+#include <cutlass/fragment_multiply_add.h>
+
+namespace cutlass {
+namespace gemm {
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+/// Functor to compute linear combination of fragments
+template <typename Scalar_, typename FragmentMultiplyAdd_ = FragmentMultiplyAdd<Scalar_> >
+struct LinearScaling {
+  // The scalar.
+  typedef Scalar_ Scalar;
+  // The adapater.
+  typedef FragmentMultiplyAdd_ FragmentMultiplyAdd;
+
+  /// The parameters.
+  struct Params {
+    /// The alpha/beta scaling params.
+    Scalar alpha, beta;
+
+    /// Initialize the parameters.
+    template <typename GemmDesc_>
+    CUTLASS_HOST_DEVICE int initialize(GemmDesc_ const& desc) {
+      alpha = desc.alpha;
+      beta = desc.beta;
+      return 0;
+    }
+  };
+
+  /// Ctor.
+  CUTLASS_DEVICE LinearScaling(Params const& params) : alpha(params.alpha), beta(params.beta) {}
+
+  /// Evaluate the functor.
+  template <typename FragmentA_, typename FragmentB_>
+  CUTLASS_DEVICE void evaluate(FragmentA_ const& accum, FragmentB_& output) {
+    FragmentMultiplyAdd mad;
+    mad.multiply(alpha, accum, output);
+  }
+
+  /// Evaluate the functor.
+  template <typename FragmentA_, typename FragmentB_>
+  CUTLASS_DEVICE void evaluate(FragmentA_ const& accum, FragmentB_ const& old, FragmentB_& output) {
+    FragmentMultiplyAdd mad;
+    FragmentB_ tmp;
+    mad.multiply(beta, old, tmp);
+    mad.multiply_add(alpha, accum, tmp, output);
+  }
+
+  /// The alpha/beta scaling factors.
+  Scalar alpha, beta;
+};
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+}  // namespace gemm
+}  // namespace cutlass