[11/51] [partial] mahout git commit: (nojira) add native-viennaCL module to codebase. closes apache/mahout#241

[ap...@apache.org]

http://git-wip-us.apache.org/repos/asf/mahout/blob/f7c1f802/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
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diff --git a/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp b/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
new file mode 100644
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+++ b/native-viennaCL/src/main/cpp/viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
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+#ifndef VIENNACL_LINALG_OPENCL_KERNELS_COMPRESSED_COMPRESSED_MATRIX_HPP
+#define VIENNACL_LINALG_OPENCL_KERNELS_COMPRESSED_COMPRESSED_MATRIX_HPP
+
+/* =========================================================================
+   Copyright (c) 2010-2016, Institute for Microelectronics,
+                            Institute for Analysis and Scientific Computing,
+                            TU Wien.
+   Portions of this software are copyright by UChicago Argonne, LLC.
+
+                            -----------------
+                  ViennaCL - The Vienna Computing Library
+                            -----------------
+
+   Project Head:    Karl Rupp                   rupp@iue.tuwien.ac.at
+
+   (A list of authors and contributors can be found in the manual)
+
+   License:         MIT (X11), see file LICENSE in the base directory
+============================================================================= */
+
+#include "viennacl/tools/tools.hpp"
+#include "viennacl/ocl/kernel.hpp"
+#include "viennacl/ocl/platform.hpp"
+#include "viennacl/ocl/utils.hpp"
+
+/** @file viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp
+ *  @brief OpenCL kernel file for vector operations */
+namespace viennacl
+{
+namespace linalg
+{
+namespace opencl
+{
+namespace kernels
+{
+
+//////////////////////////// Part 1: Kernel generation routines ////////////////////////////////////
+
+template<typename StringT>
+void generate_vec_mul(StringT & source, std::string const & numeric_string)
+{
+  source.append("__kernel void vec_mul( \n");
+  source.append("  __global const unsigned int * row_jumper, \n");
+  source.append("  __global const unsigned int * row_indices, \n");
+  source.append("  __global const unsigned int * column_indices, \n");
+  source.append("  __global const "); source.append(numeric_string); source.append(" * elements, \n");
+  source.append("  uint nonzero_rows, \n");
+  source.append("  __global const "); source.append(numeric_string); source.append(" * x, \n");
+  source.append("  uint4 layout_x, \n");
+  source.append("  "); source.append(numeric_string); source.append(" alpha, \n");
+  source.append("  __global "); source.append(numeric_string); source.append(" * result, \n");
+  source.append("  uint4 layout_result, \n");
+  source.append("  "); source.append(numeric_string); source.append(" beta) \n");
+  source.append("{ \n");
+  source.append("  for (unsigned int i = get_global_id(0); i < nonzero_rows; i += get_global_size(0)) \n");
+  source.append("  { \n");
+  source.append("    "); source.append(numeric_string); source.append(" dot_prod = 0; \n");
+  source.append("    unsigned int row_end = row_jumper[i+1]; \n");
+  source.append("    for (unsigned int j = row_jumper[i]; j < row_end; ++j) \n");
+  source.append("      dot_prod += elements[j] * x[column_indices[j] * layout_x.y + layout_x.x]; \n");
+
+  source.append("    if (beta != 0) result[row_indices[i] * layout_result.y + layout_result.x] += alpha * dot_prod; \n");
+  source.append("    else           result[row_indices[i] * layout_result.y + layout_result.x]  = alpha * dot_prod; \n");
+  source.append("  } \n");
+  source.append(" } \n");
+}
+
+//////////////////////////// Part 2: Main kernel class ////////////////////////////////////
+
+/** @brief Main kernel class for generating OpenCL kernels for compressed_compressed_matrix. */
+template<typename NumericT>
+struct compressed_compressed_matrix
+{
+  static std::string program_name()
+  {
+    return viennacl::ocl::type_to_string<NumericT>::apply() + "_compressed_compressed_matrix";
+  }
+
+  static void init(viennacl::ocl::context & ctx)
+  {
+    static std::map<cl_context, bool> init_done;
+    if (!init_done[ctx.handle().get()])
+    {
+      viennacl::ocl::DOUBLE_PRECISION_CHECKER<NumericT>::apply(ctx);
+      std::string numeric_string = viennacl::ocl::type_to_string<NumericT>::apply();
+
+      std::string source;
+      source.reserve(8192);
+
+      viennacl::ocl::append_double_precision_pragma<NumericT>(ctx, source);
+
+      // fully parametrized kernels:
+      generate_vec_mul(source, numeric_string);
+
+      std::string prog_name = program_name();
+      #ifdef VIENNACL_BUILD_INFO
+      std::cout << "Creating program " << prog_name << std::endl;
+      #endif
+      ctx.add_program(source, prog_name);
+      init_done[ctx.handle().get()] = true;
+    } //if
+  } //init
+};
+
+}  // namespace kernels
+}  // namespace opencl
+}  // namespace linalg
+}  // namespace viennacl
+#endif
+