Merge branch 'dev' of https://github.com/gpgpu-sim/gpgpu-sim_distribution into dev

1 files changed, 152 insertions, 0 deletions

diff --git a/debug_tools/WatchYourStep/ptxjitplus/inc/cub/thread/thread_reduce.cuh b/debug_tools/WatchYourStep/ptxjitplus/inc/cub/thread/thread_reduce.cuh
new file mode 100644
index 0000000..4c13688
--- /dev/null
+++ b/debug_tools/WatchYourStep/ptxjitplus/inc/cub/thread/thread_reduce.cuh
@@ -0,0 +1,152 @@
+/******************************************************************************
+ * Copyright (c) 2011, Duane Merrill.  All rights reserved.
+ * Copyright (c) 2011-2018, 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 TORT
+ * (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
+ * Thread utilities for sequential reduction over statically-sized array types
+ */
+
+#pragma once
+
+#include "../thread/thread_operators.cuh"
+#include "../util_namespace.cuh"
+
+/// Optional outer namespace(s)
+CUB_NS_PREFIX
+
+/// CUB namespace
+namespace cub {
+
+/// Internal namespace (to prevent ADL mishaps between static functions when mixing different CUB installations)
+namespace internal {
+
+/**
+ * Sequential reduction over statically-sized array types
+ */
+template <
+    int         LENGTH,
+    typename    T,
+    typename    ReductionOp>
+__device__ __forceinline__ T ThreadReduce(
+    T*                  input,                  ///< [in] Input array
+    ReductionOp         reduction_op,           ///< [in] Binary reduction operator
+    T                   prefix,                 ///< [in] Prefix to seed reduction with
+    Int2Type<LENGTH>    /*length*/)
+{
+    T retval = prefix;
+
+    #pragma unroll
+    for (int i = 0; i < LENGTH; ++i)
+        retval = reduction_op(retval, input[i]);
+
+    return retval;
+}
+
+
+/**
+ * \brief Perform a sequential reduction over \p LENGTH elements of the \p input array, seeded with the specified \p prefix.  The aggregate is returned.
+ *
+ * \tparam LENGTH     LengthT of input array
+ * \tparam T          <b>[inferred]</b> The data type to be reduced.
+ * \tparam ScanOp     <b>[inferred]</b> Binary reduction operator type having member <tt>T operator()(const T &a, const T &b)</tt>
+ */
+template <
+    int         LENGTH,
+    typename    T,
+    typename    ReductionOp>
+__device__ __forceinline__ T ThreadReduce(
+    T*          input,                  ///< [in] Input array
+    ReductionOp reduction_op,           ///< [in] Binary reduction operator
+    T           prefix)                 ///< [in] Prefix to seed reduction with
+{
+    return ThreadReduce(input, reduction_op, prefix, Int2Type<LENGTH>());
+}
+
+
+/**
+ * \brief Perform a sequential reduction over \p LENGTH elements of the \p input array.  The aggregate is returned.
+ *
+ * \tparam LENGTH     LengthT of input array
+ * \tparam T          <b>[inferred]</b> The data type to be reduced.
+ * \tparam ScanOp     <b>[inferred]</b> Binary reduction operator type having member <tt>T operator()(const T &a, const T &b)</tt>
+ */
+template <
+    int         LENGTH,
+    typename    T,
+    typename    ReductionOp>
+__device__ __forceinline__ T ThreadReduce(
+    T*          input,                  ///< [in] Input array
+    ReductionOp reduction_op)           ///< [in] Binary reduction operator
+{
+    T prefix = input[0];
+    return ThreadReduce<LENGTH - 1>(input + 1, reduction_op, prefix);
+}
+
+
+/**
+ * \brief Perform a sequential reduction over the statically-sized \p input array, seeded with the specified \p prefix.  The aggregate is returned.
+ *
+ * \tparam LENGTH     <b>[inferred]</b> LengthT of \p input array
+ * \tparam T          <b>[inferred]</b> The data type to be reduced.
+ * \tparam ScanOp     <b>[inferred]</b> Binary reduction operator type having member <tt>T operator()(const T &a, const T &b)</tt>
+ */
+template <
+    int         LENGTH,
+    typename    T,
+    typename    ReductionOp>
+__device__ __forceinline__ T ThreadReduce(
+    T           (&input)[LENGTH],       ///< [in] Input array
+    ReductionOp reduction_op,           ///< [in] Binary reduction operator
+    T           prefix)                 ///< [in] Prefix to seed reduction with
+{
+    return ThreadReduce(input, reduction_op, prefix, Int2Type<LENGTH>());
+}
+
+
+/**
+ * \brief Serial reduction with the specified operator
+ *
+ * \tparam LENGTH     <b>[inferred]</b> LengthT of \p input array
+ * \tparam T          <b>[inferred]</b> The data type to be reduced.
+ * \tparam ScanOp     <b>[inferred]</b> Binary reduction operator type having member <tt>T operator()(const T &a, const T &b)</tt>
+ */
+template <
+    int         LENGTH,
+    typename    T,
+    typename    ReductionOp>
+__device__ __forceinline__ T ThreadReduce(
+    T           (&input)[LENGTH],       ///< [in] Input array
+    ReductionOp reduction_op)           ///< [in] Binary reduction operator
+{
+    return ThreadReduce<LENGTH>((T*) input, reduction_op);
+}
+
+
+}               // internal namespace
+}               // CUB namespace
+CUB_NS_POSTFIX  // Optional outer namespace(s)