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Diffstat (limited to 'libcuda/cuda_runtime_api.cc')
-rw-r--r--libcuda/cuda_runtime_api.cc203
1 files changed, 31 insertions, 172 deletions
diff --git a/libcuda/cuda_runtime_api.cc b/libcuda/cuda_runtime_api.cc
index 500b5f2..2d9c4f7 100644
--- a/libcuda/cuda_runtime_api.cc
+++ b/libcuda/cuda_runtime_api.cc
@@ -141,8 +141,6 @@
#include "../src/gpgpusim_entrypoint.h"
#include "../src/stream_manager.h"
#include "../src/abstract_hardware_model.h"
-typedef void * yyscan_t;
-#include "cuobjdump.h"
#include <pthread.h>
#include <semaphore.h>
@@ -208,145 +206,6 @@ void register_ptx_function( const char *name, function_info *impl )
# endif
#endif
-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;
-};
-
struct _cuda_device_id *GPGPUSim_Init()
{
//static _cuda_device_id *the_device = NULL;
@@ -626,7 +485,7 @@ static int get_app_cuda_version() {
}
//! Keep track of the association between filename and cubin handle
-void gpgpu_context::cuobjdumpRegisterFatBinary(unsigned int handle, const char* filename, CUctx_st *context){
+void cuda_runtime_api::cuobjdumpRegisterFatBinary(unsigned int handle, const char* filename, CUctx_st *context){
fatbinmap[handle] = filename;
}
@@ -705,8 +564,8 @@ void** cudaRegisterFatBinaryInternal( void *fatCubin, gpgpu_context* gpgpu_ctx =
* then for next calls, only returns the appropriate number
*/
assert(fat_cubin_handle >= 1);
- if (fat_cubin_handle==1) ctx->cuobjdumpInit();
- ctx->cuobjdumpRegisterFatBinary(fat_cubin_handle, filename, context);
+ if (fat_cubin_handle==1) ctx->api->cuobjdumpInit();
+ ctx->api->cuobjdumpRegisterFatBinary(fat_cubin_handle, filename, context);
return (void**)fat_cubin_handle;
}
@@ -803,7 +662,7 @@ void cudaRegisterFunctionInternal(
printf("GPGPU-Sim PTX: __cudaRegisterFunction %s : hostFun 0x%p, fat_cubin_handle = %u\n",
deviceFun, hostFun, fat_cubin_handle);
if(context->get_device()->get_gpgpu()->get_config().use_cuobjdump())
- ctx->cuobjdumpParseBinary(fat_cubin_handle);
+ ctx->api->cuobjdumpParseBinary(fat_cubin_handle);
context->register_function( fat_cubin_handle, hostFun, deviceFun );
}
@@ -830,7 +689,7 @@ void cudaRegisterVarInternal(
printf("GPGPU-Sim PTX: __cudaRegisterVar: hostVar = %p; deviceAddress = %s; deviceName = %s\n", hostVar, deviceAddress, deviceName);
printf("GPGPU-Sim PTX: __cudaRegisterVar: Registering const memory space of %d bytes\n", size);
if(GPGPUSim_Context()->get_device()->get_gpgpu()->get_config().use_cuobjdump())
- ctx->cuobjdumpParseBinary((unsigned)(unsigned long long)fatCubinHandle);
+ ctx->api->cuobjdumpParseBinary((unsigned)(unsigned long long)fatCubinHandle);
fflush(stdout);
if ( constant && !global && !ext ) {
gpgpu_ptx_sim_register_const_variable(hostVar,deviceName,size);
@@ -894,7 +753,7 @@ cudaError_t cudaLaunchInternal( const char *hostFun, gpgpu_context* gpgpu_ctx =
struct CUstream_st *stream = config.get_stream();
printf("\nGPGPU-Sim PTX: cudaLaunch for 0x%p (mode=%s) on stream %u\n", hostFun,
g_ptx_sim_mode?"functional simulation":"performance simulation", stream?stream->get_uid():0 );
- kernel_info_t *grid = ctx->gpgpu_cuda_ptx_sim_init_grid(hostFun,config.get_args(),config.grid_dim(),config.block_dim(),context);
+ kernel_info_t *grid = ctx->api->gpgpu_cuda_ptx_sim_init_grid(hostFun,config.get_args(),config.grid_dim(),config.block_dim(),context);
//do dynamic PDOM analysis for performance simulation scenario
std::string kname = grid->name();
function_info *kernel_func_info = grid->entry();
@@ -965,7 +824,7 @@ cudaError_t cudaMallocInternal(void **devPtr, size_t size, gpgpu_context* gpgpu_
*devPtr = context->get_device()->get_gpgpu()->gpu_malloc(size);
if(g_debug_execution >= 3){
printf("GPGPU-Sim PTX: cudaMallocing %zu bytes starting at 0x%llx..\n",size, (unsigned long long) *devPtr);
- ctx->g_mallocPtr_Size[(unsigned long long)*devPtr] = size;
+ ctx->api->g_mallocPtr_Size[(unsigned long long)*devPtr] = size;
}
if ( *devPtr ) {
return g_last_cudaError = cudaSuccess;
@@ -988,7 +847,7 @@ cudaError_t cudaMallocHostInternal(void **ptr, size_t size, gpgpu_context* gpgpu
*ptr = malloc(size);
if ( *ptr ) {
//track pinned memory size allocated in the host so that same amount of memory is also allocated in GPU.
- ctx->pinned_memory_size[*ptr]=size;
+ ctx->api->pinned_memory_size[*ptr]=size;
return g_last_cudaError = cudaSuccess;
} else {
return g_last_cudaError = cudaErrorMemoryAllocation;
@@ -1014,16 +873,16 @@ cudaError_t cudaHostGetDevicePointerInternal(void **pDevice, void *pHost, unsign
flags=0;
CUctx_st* context = GPGPUSim_Context();
gpgpu_t *gpu = context->get_device()->get_gpgpu();
- std::map<void *, size_t>::const_iterator i = ctx->pinned_memory_size.find(pHost);
- assert(i != ctx->pinned_memory_size.end());
+ std::map<void *, size_t>::const_iterator i = ctx->api->pinned_memory_size.find(pHost);
+ assert(i != ctx->api->pinned_memory_size.end());
size_t size = i->second;
*pDevice = gpu->gpu_malloc(size);
if(g_debug_execution >= 3){
printf("GPGPU-Sim PTX: cudaMallocing %zu bytes starting at 0x%llx..\n",size, (unsigned long long) *pDevice);
- ctx->g_mallocPtr_Size[(unsigned long long)*pDevice] = size;
+ ctx->api->g_mallocPtr_Size[(unsigned long long)*pDevice] = size;
}
if ( *pDevice ) {
- ctx->pinned_memory[pHost]=pDevice;
+ ctx->api->pinned_memory[pHost]=pDevice;
//Copy contents in cpu to gpu
gpu->memcpy_to_gpu((size_t)*pDevice,pHost,size);
return g_last_cudaError = cudaSuccess;
@@ -1050,7 +909,7 @@ cudaError_t cudaGLMapBufferObjectInternal(void** devPtr, GLuint bufferObj, gpgpu
GLint buffer_size=0;
CUctx_st* context = GPGPUSim_Context();
- glbmap_entry_t *p = ctx->g_glbmap;
+ glbmap_entry_t *p = ctx->api->g_glbmap;
while ( p && p->m_bufferObj != bufferObj )
p = p->m_next;
if ( p == NULL ) {
@@ -1061,8 +920,8 @@ cudaError_t cudaGLMapBufferObjectInternal(void** devPtr, GLuint bufferObj, gpgpu
// create entry and insert to front of list
glbmap_entry_t *n = (glbmap_entry_t *) calloc(1,sizeof(glbmap_entry_t));
- n->m_next = ctx->g_glbmap;
- ctx->g_glbmap = n;
+ n->m_next = ctx->api->g_glbmap;
+ ctx->api->g_glbmap = n;
// initialize entry
n->m_bufferObj = bufferObj;
@@ -1129,7 +988,7 @@ cuLinkAddFileInternal(CUlinkState state, CUjitInputType type, const char *path,
strcat(file,path);
symbol_table *symtab = gpgpu_ptx_sim_load_ptx_from_filename( file );
std::string fname(path);
- ctx->name_symtab[fname] = symtab;
+ ctx->api->name_symtab[fname] = symtab;
context->add_binary(symtab, 1);
load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
@@ -1154,7 +1013,7 @@ cudaError_t cudaHostAllocInternal(void **pHost, size_t bytes, unsigned int flag
*pHost = malloc(bytes);
//need to track the size allocated so that cudaHostGetDevicePointer() can function properly.
//TODO: vary this function behavior based on flags value (following nvidia documentation)
- ctx->pinned_memory_size[*pHost]=bytes;
+ ctx->api->pinned_memory_size[*pHost]=bytes;
if( *pHost )
return g_last_cudaError = cudaSuccess;
else
@@ -2431,7 +2290,7 @@ __host__ cudaError_t CUDARTAPI cudaGetExportTable(const void **ppExportTable, co
//#include "../../cuobjdump_to_ptxplus/cuobjdump_parser.h"
//extracts all ptx files from binary and dumps into prog_name.unique_no.sm_<>.ptx files
-void gpgpu_context::extract_ptx_files_using_cuobjdump(CUctx_st *context){
+void cuda_runtime_api::extract_ptx_files_using_cuobjdump(CUctx_st *context){
extern bool g_cdp_enabled;
char command[1000];
char *pytorch_bin = getenv("PYTORCH_BIN");
@@ -2509,7 +2368,7 @@ void gpgpu_context::extract_ptx_files_using_cuobjdump(CUctx_st *context){
* It is also responsible for extracting the libraries linked to the binary if the option is
* enabled
* */
-void gpgpu_context::extract_code_using_cuobjdump(){
+void cuda_runtime_api::extract_code_using_cuobjdump(){
CUctx_st *context = GPGPUSim_Context();
unsigned forced_max_capability = context->get_device()->get_gpgpu()->get_config().get_forced_max_capability();
@@ -2633,7 +2492,7 @@ void gpgpu_context::extract_code_using_cuobjdump(){
fclose(cuobjdump_in);
std::getline(libsf, line);
}
- api->libSectionList = cuobjdumpSectionList;
+ libSectionList = cuobjdumpSectionList;
//Restore the original section list
cuobjdumpSectionList = tmpsl;
@@ -2679,7 +2538,7 @@ void printSectionList(std::list<cuobjdumpSection*> sl) {
}
//! Remove unecessary sm versions from the section list
-std::list<cuobjdumpSection*> gpgpu_context::pruneSectionList(CUctx_st *context) {
+std::list<cuobjdumpSection*> cuda_runtime_api::pruneSectionList(CUctx_st *context) {
unsigned forced_max_capability = context->get_device()->get_gpgpu()->get_config().get_forced_max_capability();
//For ptxplus, force the max capability to 19 if it's higher or unspecified(0)
@@ -2732,7 +2591,7 @@ std::list<cuobjdumpSection*> gpgpu_context::pruneSectionList(CUctx_st *context)
}
//! Merge all PTX sections that have a specific identifier into one file
-std::list<cuobjdumpSection*> gpgpu_context::mergeMatchingSections(std::string identifier){
+std::list<cuobjdumpSection*> cuda_runtime_api::mergeMatchingSections(std::string identifier){
const char *ptxcode = "";
std::list<cuobjdumpSection*>::iterator old_iter;
cuobjdumpPTXSection* old_ptxsection = NULL;
@@ -2775,7 +2634,7 @@ std::list<cuobjdumpSection*> gpgpu_context::mergeMatchingSections(std::string id
}
//! Merge any PTX sections with matching identifiers
-std::list<cuobjdumpSection*> gpgpu_context::mergeSections(){
+std::list<cuobjdumpSection*> cuda_runtime_api::mergeSections(){
std::vector<std::string> identifier;
cuobjdumpPTXSection* ptxsection;
@@ -2822,10 +2681,10 @@ cuobjdumpELFSection* findELFSectionInList(std::list<cuobjdumpSection*> sectionli
}
//! Find an ELF section in all the known lists
-cuobjdumpELFSection* gpgpu_context::findELFSection(const std::string identifier){
+cuobjdumpELFSection* cuda_runtime_api::findELFSection(const std::string identifier){
cuobjdumpELFSection* sec = findELFSectionInList(cuobjdumpSectionList, identifier);
if (sec!=NULL)return sec;
- sec = findELFSectionInList(api->libSectionList, identifier);
+ sec = findELFSectionInList(libSectionList, identifier);
if (sec!=NULL)return sec;
std::cout << "Could not find " << identifier << std::endl;
assert(0 && "Could not find the required ELF section");
@@ -2857,10 +2716,10 @@ cuobjdumpPTXSection* findPTXSectionInList(std::list<cuobjdumpSection*> &sectionl
}
//! Find an PTX section in all the known lists
-cuobjdumpPTXSection* gpgpu_context::findPTXSection(const std::string identifier){
+cuobjdumpPTXSection* cuda_runtime_api::findPTXSection(const std::string identifier){
cuobjdumpPTXSection* sec = findPTXSectionInList(cuobjdumpSectionList, identifier);
if (sec!=NULL)return sec;
- sec = findPTXSectionInList(api->libSectionList, identifier);
+ sec = findPTXSectionInList(libSectionList, identifier);
if (sec!=NULL)return sec;
std::cout << "Could not find " << identifier << std::endl;
assert(0 && "Could not find the required PTX section");
@@ -2870,7 +2729,7 @@ cuobjdumpPTXSection* gpgpu_context::findPTXSection(const std::string identifier)
//! Extract the code using cuobjdump and remove unnecessary sections
-void gpgpu_context::cuobjdumpInit(){
+void cuda_runtime_api::cuobjdumpInit(){
CUctx_st *context = GPGPUSim_Context();
extract_code_using_cuobjdump(); //extract all the output of cuobjdump to _cuobjdump_*.*
const char* pre_load = getenv("CUOBJDUMP_SIM_FILE");
@@ -2882,7 +2741,7 @@ void gpgpu_context::cuobjdumpInit(){
//! Either submit PTX for simulation or convert SASS to PTXPlus and submit it
-void gpgpu_context::cuobjdumpParseBinary(unsigned int handle){
+void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
CUctx_st *context = GPGPUSim_Context();
if(fatbin_registered[handle]) return;
@@ -3176,7 +3035,7 @@ cudaError_t cudaGLUnmapBufferObject(GLuint bufferObj)
}
#ifdef OPENGL_SUPPORT
CUctx_st* ctx = GPGPUSim_Context();
- glbmap_entry_t *p = ctx->g_glbmap;
+ glbmap_entry_t *p = ctx->api->g_glbmap;
while ( p && p->m_bufferObj != bufferObj )
p = p->m_next;
if ( p == NULL )
@@ -3531,7 +3390,7 @@ static int load_constants( symbol_table *symtab, addr_t min_gaddr, gpgpu_t *gpu
return nc_bytes;
}
-kernel_info_t * gpgpu_context::gpgpu_cuda_ptx_sim_init_grid( const char *hostFun,
+kernel_info_t * cuda_runtime_api::gpgpu_cuda_ptx_sim_init_grid( const char *hostFun,
gpgpu_ptx_sim_arg_list_t args,
struct dim3 gridDim,
struct dim3 blockDim,
generated by cgit v1.3 (git 2.53.0) at 2026-07-20 11:00:37 +0000