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#ifndef __cuda_api_object_h__
#define __cuda_api_object_h__
#include <list>
#include <map>
#include <set>
#include <string>
#include "builtin_types.h"
#include "../src/abstract_hardware_model.h"
#include "../src/cuda-sim/ptx_ir.h"
#include "../src/gpgpu-sim/gpu-sim.h"
#include "cuobjdump.h"
typedef std::list<gpgpu_ptx_sim_arg> gpgpu_ptx_sim_arg_list_t;
#ifndef OPENGL_SUPPORT
typedef unsigned long GLuint;
#endif
struct glbmap_entry {
GLuint m_bufferObj;
void *m_devPtr;
size_t m_size;
struct glbmap_entry *m_next;
};
typedef struct glbmap_entry glbmap_entry_t;
struct _cuda_device_id {
_cuda_device_id(gpgpu_sim *gpu) {
m_id = 0;
m_next = NULL;
m_gpgpu = gpu;
}
struct _cuda_device_id *next() {
return m_next;
}
unsigned num_shader() const { return m_gpgpu->get_config().num_shader(); }
int num_devices() const {
if (m_next == NULL)
return 1;
else
return 1 + m_next->num_devices();
}
struct _cuda_device_id *get_device(unsigned n) {
assert(n < (unsigned)num_devices());
struct _cuda_device_id *p = this;
for (unsigned i = 0; i < n; i++) p = p->m_next;
return p;
}
const struct cudaDeviceProp *get_prop() const { return m_gpgpu->get_prop(); }
unsigned get_id() const { return m_id; }
gpgpu_sim *get_gpgpu() { return m_gpgpu; }
private:
unsigned m_id;
class gpgpu_sim *m_gpgpu;
struct _cuda_device_id *m_next;
};
struct CUctx_st {
CUctx_st(_cuda_device_id *gpu) {
m_gpu = gpu;
m_binary_info.cmem = 0;
m_binary_info.gmem = 0;
no_of_ptx = 0;
}
_cuda_device_id *get_device() { return m_gpu; }
void add_binary(symbol_table *symtab, unsigned fat_cubin_handle) {
m_code[fat_cubin_handle] = symtab;
m_last_fat_cubin_handle = fat_cubin_handle;
}
void add_ptxinfo(const char *deviceFun,
const struct gpgpu_ptx_sim_info &info) {
symbol *s = m_code[m_last_fat_cubin_handle]->lookup(deviceFun);
assert(s != NULL);
function_info *f = s->get_pc();
assert(f != NULL);
f->set_kernel_info(info);
}
void add_ptxinfo(const struct gpgpu_ptx_sim_info &info) {
m_binary_info = info;
}
void register_function(unsigned fat_cubin_handle, const char *hostFun,
const char *deviceFun) {
if (m_code.find(fat_cubin_handle) != m_code.end()) {
symbol *s = m_code[fat_cubin_handle]->lookup(deviceFun);
if (s != NULL) {
function_info *f = s->get_pc();
assert(f != NULL);
m_kernel_lookup[hostFun] = f;
} else {
printf("Warning: cannot find deviceFun %s\n", deviceFun);
m_kernel_lookup[hostFun] = NULL;
}
// assert( s != NULL );
// function_info *f = s->get_pc();
// assert( f != NULL );
// m_kernel_lookup[hostFun] = f;
} else {
m_kernel_lookup[hostFun] = NULL;
}
}
void register_hostFun_function(const char *hostFun, function_info *f) {
m_kernel_lookup[hostFun] = f;
}
function_info *get_kernel(const char *hostFun) {
std::map<const void *, function_info *>::iterator i =
m_kernel_lookup.find(hostFun);
assert(i != m_kernel_lookup.end());
return i->second;
}
int no_of_ptx;
private:
_cuda_device_id *m_gpu; // selected gpu
std::map<unsigned, symbol_table *>
m_code; // fat binary handle => global symbol table
unsigned m_last_fat_cubin_handle;
std::map<const void *, function_info *>
m_kernel_lookup; // unique id (CUDA app function address) => kernel entry
// point
struct gpgpu_ptx_sim_info m_binary_info;
};
class kernel_config {
public:
kernel_config(dim3 GridDim, dim3 BlockDim, size_t sharedMem,
struct CUstream_st *stream) {
m_GridDim = GridDim;
m_BlockDim = BlockDim;
m_sharedMem = sharedMem;
m_stream = stream;
}
kernel_config() {
m_GridDim = dim3(-1, -1, -1);
m_BlockDim = dim3(-1, -1, -1);
m_sharedMem = 0;
m_stream = NULL;
}
void set_arg(const void *arg, size_t size, size_t offset) {
m_args.push_front(gpgpu_ptx_sim_arg(arg, size, offset));
}
dim3 grid_dim() const { return m_GridDim; }
dim3 block_dim() const { return m_BlockDim; }
void set_grid_dim(dim3 *d) { m_GridDim = *d; }
void set_block_dim(dim3 *d) { m_BlockDim = *d; }
gpgpu_ptx_sim_arg_list_t get_args() { return m_args; }
struct CUstream_st *get_stream() {
return m_stream;
}
private:
dim3 m_GridDim;
dim3 m_BlockDim;
size_t m_sharedMem;
struct CUstream_st *m_stream;
gpgpu_ptx_sim_arg_list_t m_args;
};
class cuda_runtime_api {
public:
cuda_runtime_api(gpgpu_context *ctx) {
g_glbmap = NULL;
g_active_device = 0; // active gpu that runs the code
gpgpu_ctx = ctx;
}
// global list
std::list<cuobjdumpSection *> cuobjdumpSectionList;
std::list<cuobjdumpSection *> libSectionList;
std::list<kernel_config> g_cuda_launch_stack;
std::map<int, bool> fatbin_registered;
std::map<int, std::string> fatbinmap;
std::map<std::string, symbol_table *> name_symtab;
std::map<unsigned long long, size_t> g_mallocPtr_Size;
// maps sm version number to set of filenames
std::map<unsigned, std::set<std::string> > version_filename;
std::map<void *, void **> pinned_memory; // support for pinned memories added
std::map<void *, size_t> pinned_memory_size;
glbmap_entry_t *g_glbmap;
int g_active_device; // active gpu that runs the code
// backward pointer
class gpgpu_context *gpgpu_ctx;
// member function list
void cuobjdumpInit();
void extract_code_using_cuobjdump();
void extract_ptx_files_using_cuobjdump(CUctx_st *context);
std::list<cuobjdumpSection *> pruneSectionList(CUctx_st *context);
std::list<cuobjdumpSection *> mergeMatchingSections(std::string identifier);
std::list<cuobjdumpSection *> mergeSections();
cuobjdumpELFSection *findELFSection(const std::string identifier);
cuobjdumpPTXSection *findPTXSection(const std::string identifier);
cuobjdumpPTXSection *findPTXSectionInList(
std::list<cuobjdumpSection *> §ionlist, const std::string identifier);
void cuobjdumpRegisterFatBinary(unsigned int handle, const char *filename,
CUctx_st *context);
kernel_info_t *gpgpu_cuda_ptx_sim_init_grid(const char *kernel_key,
gpgpu_ptx_sim_arg_list_t args,
struct dim3 gridDim,
struct dim3 blockDim,
struct CUctx_st *context);
int load_static_globals(symbol_table *symtab, unsigned min_gaddr,
unsigned max_gaddr, gpgpu_t *gpu);
int load_constants(symbol_table *symtab, addr_t min_gaddr, gpgpu_t *gpu);
};
#endif /* __cuda_api_object_h__ */
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