Merge pull request #7 from dhuth/master

V0.2.1

1 files changed, 0 insertions, 163 deletions

diff --git a/loop_cuda.hh b/loop_cuda.hh
deleted file mode 100644
index 15726c0..0000000
--- a/loop_cuda.hh
+++ /dev/null
@@ -1,163 +0,0 @@
-#ifndef LOOP_CUDA_HH
-#define LOOP_CUDA_HH
-
-#include "loop.hh"
-#include <string.h>
-#include <suif1.h>
-
-
-enum MemoryMode { GlobalMem, SharedMem, TexMem };
-
-//protonu --class introduced to hold texture memory information in one single place
-//this might help me get over the weird memory issues I am having with the Loop class
-//where someone/something corrupts my memory
-class texture_memory_mapping{
-private:
-  bool tex_mem_used;
-  std::vector< std::string > tex_mapped_array_name;
-public:
-  texture_memory_mapping ( bool used, const char * array_name){
-    tex_mem_used = used;
-    tex_mapped_array_name.push_back(std::string(array_name));
-  }
-  
-  void add(const char * array_name) {
-    tex_mapped_array_name.push_back(std::string(array_name));
-  }
-  
-  bool is_tex_mem_used()    {return tex_mem_used;}
-  bool is_array_tex_mapped(const char * array_name){
-    
-    for( int i=0; i<tex_mapped_array_name.size(); i++){
-      if(!(strcmp(array_name, tex_mapped_array_name[i].c_str())))
-        return true;
-    }
-    return false;
-  }
-  texture_memory_mapping()  {tex_mem_used = false;}
-};
-
-//protonu --class introduced to hold constant memory information in one single place
-//this might help me get over the weird memory issues I am having with the Loop class
-//where someone/something corrupts my memory
-class constant_memory_mapping{
-private:
-  bool cons_mem_used;
-  std::vector< std::string > cons_mapped_array_name;
-public:
-  constant_memory_mapping ( bool used, const char * array_name){
-    cons_mem_used = used;
-    cons_mapped_array_name.push_back(std::string(array_name));
-  }
-  
-  void add(const char * array_name) {
-    cons_mapped_array_name.push_back(std::string(array_name));
-  }
-  
-  bool is_cons_mem_used()   {return cons_mem_used;}
-  bool is_array_cons_mapped(const char * array_name){
-    
-    for( int i=0; i<cons_mapped_array_name.size(); i++){
-      if(!(strcmp(array_name, cons_mapped_array_name[i].c_str())))
-        return true;
-    }
-    return false;
-  }
-  constant_memory_mapping() {cons_mem_used = false;}
-};
-
-
-class LoopCuda: public Loop{
-  
-public:
-  std::vector<proc_sym*> new_procs; //Need adding to a fse
-  std::vector< std::vector<std::string> > idxNames;
-  std::vector< std::pair<int, std::string> > syncs;
-  bool useIdxNames;
-  std::vector<std::string> index;
-  proc_symtab *symtab;
-  global_symtab *globals;
-  
-  //protonu--inserting this here, Gabe's implementation had it 
-  //the struct statment as nonSplitLevels
-  std::vector<omega::Tuple<int> > stmt_nonSplitLevels;
-  
-  texture_memory_mapping *texture; //protonu
-  constant_memory_mapping *constant_mem; //protonu
-  std::map<std::string, int> array_dims;
-  omega::CG_outputRepr *setup_code;
-  omega::CG_outputRepr *teardown_code;
-  
-  unsigned int code_gen_flags;
-  enum CodeGenFlags {
-    GenInit      = 0x00,
-    GenCudaizeV2 = 0x02,
-  };
-  
-  
-  //varibles used by cudaize_codegen
-  //block x, y sizes, N and num_red
-  int cu_bx, cu_by, cu_n, cu_num_reduce;
-  //block statement and level
-  int cu_block_stmt, cu_block_level;
-  //thread x, y, z
-  int cu_tx, cu_ty, cu_tz;
-  //tile statements, and loop-levels (cudaize v1)
-  std::vector< std::vector<int> > cu_thread_loop;
-  std::vector<int> cu_thread_sync;
-  MemoryMode cu_mode;
-  
-  std::string cu_nx_name, cu_ny_name, cu_kernel_name;
-  int nonDummyLevel(int stmt, int level);
-  bool symbolExists(std::string s);
-  void addSync(int stmt, std::string idx);
-  void renameIndex(int stmt, std::string idx, std::string newName);
-  bool validIndexes(int stmt, const std::vector<std::string>& idxs);
-  void extractCudaUB(int stmt_num, int level, int &outUpperBound, int &outLowerBound);
-  
-  void printCode(int effort=1, bool actuallyPrint=true) const; 
-  void printRuntimeInfo() const;
-  void printIndexes() const;
-  tree_node_list* getCode(int effort = 1) const;
-  
-  
-  void permute_cuda(int stmt, const std::vector<std::string>& curOrder);
-  //protonu-writing a wrapper for the Chun's new permute function
-  bool permute(int stmt_num, const std::vector<int> &pi);
-  //end--protonu.
-  void tile_cuda(int stmt, int level, int outer_level);
-  void tile_cuda(int level, int tile_size, int outer_level, std::string idxName, std::string ctrlName, TilingMethodType method=StridedTile);
-  void tile_cuda(int stmt, int level, int tile_size, int outer_level, std::string idxName, std::string ctrlName, TilingMethodType method=StridedTile);
-  bool datacopy_privatized_cuda(int stmt_num, int level, const std::string &array_name, const std::vector<int> &privatized_levels, bool allow_extra_read = false, int fastest_changing_dimension = -1, int padding_stride = 1, int padding_alignment = 1, bool cuda_shared=false);
-  bool datacopy_cuda(int stmt_num, int level, const std::string &array_name, std::vector<std::string> new_idxs, bool allow_extra_read = false, int fastest_changing_dimension = -1, int padding_stride = 1, int padding_alignment = 4, bool cuda_shared=false);
-  bool unroll_cuda(int stmt_num, int level, int unroll_amount);
-  //protonu--using texture memory
-  void copy_to_texture(const char *array_name);
-  //protonu--using constant memory
-  void copy_to_constant(const char *array_name);
-  int findCurLevel(int stmt, std::string idx);
-  /**
-   *
-   * @param kernel_name Name of the GPU generated kernel
-   * @param nx Iteration space over the x dimention
-   * @param ny Iteration space over the y dimention
-   * @param tx Tile dimention over x dimention
-   * @param ty Tile dimention over the y dimention
-   * @param num_reduce The number of dimentions to reduce by mapping to the GPU implicit blocks/threads
-   */
-  //stmnt_num is referenced from the perspective of being inside the cudize block loops
-  bool cudaize_v2(std::string kernel_name, std::map<std::string, int> array_dims,
-                  std::vector<std::string> blockIdxs, std::vector<std::string> threadIdxs);
-  tree_node_list* cudaize_codegen_v2();
-  tree_node_list* codegen();
-  
-  //protonu--have to add the constructors for the new class
-  //and maybe destructors (?)
-  LoopCuda();
-  //LoopCuda(IR_Code *ir, tree_for *tf, global_symtab* gsym);
-  LoopCuda(IR_Control *ir_c, int loop_num);//protonu-added so as to not change ir_suif
-  ~LoopCuda();
-  
-};
-
-#endif