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Diffstat (limited to 'libcuda/cuda_runtime_api.cc')
-rw-r--r--libcuda/cuda_runtime_api.cc120
1 files changed, 66 insertions, 54 deletions
diff --git a/libcuda/cuda_runtime_api.cc b/libcuda/cuda_runtime_api.cc
index 2d9c4f7..f3b1113 100644
--- a/libcuda/cuda_runtime_api.cc
+++ b/libcuda/cuda_runtime_api.cc
@@ -153,15 +153,6 @@
extern void synchronize();
extern void exit_simulation();
-static int load_static_globals( symbol_table *symtab, unsigned min_gaddr, unsigned max_gaddr, gpgpu_t *gpu );
-static int load_constants( symbol_table *symtab, addr_t min_gaddr, gpgpu_t *gpu );
-
-//static 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 );
-
/*DEVICE_BUILTIN*/
struct cudaArray
{
@@ -273,7 +264,7 @@ static CUctx_st* GPGPUSim_Context()
return the_context;
}
-static gpgpu_context* GPGPU_Context()
+gpgpu_context* GPGPU_Context()
{
static gpgpu_context *gpgpu_ctx = NULL;
if( gpgpu_ctx == NULL ) {
@@ -353,7 +344,6 @@ typedef std::map<unsigned,CUevent_st*> event_tracker_t;
int CUevent_st::m_next_event_uid;
event_tracker_t g_timer_events;
-int g_active_device = 0; //active gpu that runs the code
extern int cuobjdump_lex_init(yyscan_t* scanner);
extern void cuobjdump_set_in (FILE * _in_str ,yyscan_t yyscanner );
@@ -494,6 +484,41 @@ void cuda_runtime_api::cuobjdumpRegisterFatBinary(unsigned int handle, const cha
/*******************************************************************************
* Add internal cuda runtime API call to accept gpgpu_context *
*******************************************************************************/
+cudaError_t cudaSetDeviceInternal(int device, gpgpu_context* gpgpu_ctx = NULL)
+{
+ gpgpu_context *ctx;
+ if (gpgpu_ctx){
+ ctx = gpgpu_ctx;
+ } else {
+ ctx = GPGPU_Context();
+ }
+ if(g_debug_execution >= 3){
+ announce_call(__my_func__);
+ }
+ //set the active device to run cuda
+ if ( device <= GPGPUSim_Init()->num_devices() ) {
+ ctx->api->g_active_device = device;
+ return g_last_cudaError = cudaSuccess;
+ } else {
+ return g_last_cudaError = cudaErrorInvalidDevice;
+ }
+}
+
+cudaError_t cudaGetDeviceInternal(int *device, gpgpu_context* gpgpu_ctx = NULL)
+{
+ gpgpu_context *ctx;
+ if (gpgpu_ctx){
+ ctx = gpgpu_ctx;
+ } else {
+ ctx = GPGPU_Context();
+ }
+ if(g_debug_execution >= 3){
+ announce_call(__my_func__);
+ }
+ *device = ctx->api->g_active_device;
+ return g_last_cudaError = cudaSuccess;
+}
+
void** cudaRegisterFatBinaryInternal( void *fatCubin, gpgpu_context* gpgpu_ctx = NULL)
{
@@ -615,13 +640,13 @@ void** cudaRegisterFatBinaryInternal( void *fatCubin, gpgpu_context* gpgpu_ctx =
"\tEither enable cuobjdump or disable PTXPlus in your configuration file\n");
exit(1);
} else {
- symtab=gpgpu_ptx_sim_load_ptx_from_string(ptx,source_num);
+ symtab=ctx->gpgpu_ptx_sim_load_ptx_from_string(ptx,source_num);
context->add_binary(symtab,fat_cubin_handle);
gpgpu_ptxinfo_load_from_string( ptx, source_num, max_capability, context->no_of_ptx );
}
source_num++;
- load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
- load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
+ ctx->api->load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
+ ctx->api->load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
} else {
printf("GPGPU-Sim PTX: warning -- did not find an appropriate PTX in cubin\n");
}
@@ -662,7 +687,7 @@ 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->api->cuobjdumpParseBinary(fat_cubin_handle);
+ ctx->cuobjdumpParseBinary(fat_cubin_handle);
context->register_function( fat_cubin_handle, hostFun, deviceFun );
}
@@ -689,7 +714,7 @@ 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->api->cuobjdumpParseBinary((unsigned)(unsigned long long)fatCubinHandle);
+ ctx->cuobjdumpParseBinary((unsigned)(unsigned long long)fatCubinHandle);
fflush(stdout);
if ( constant && !global && !ext ) {
gpgpu_ptx_sim_register_const_variable(hostVar,deviceName,size);
@@ -986,12 +1011,12 @@ cuLinkAddFileInternal(CUlinkState state, CUjitInputType type, const char *path,
}
strcat(file,"/");
strcat(file,path);
- symbol_table *symtab = gpgpu_ptx_sim_load_ptx_from_filename( file );
+ symbol_table *symtab = ctx->gpgpu_ptx_sim_load_ptx_from_filename( file );
std::string fname(path);
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());
+ ctx->api->load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
+ ctx->api->load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
addedFile = true;
return CUDA_SUCCESS;
}
@@ -1694,25 +1719,12 @@ __host__ cudaError_t CUDARTAPI cudaChooseDevice(int *device, const struct cudaDe
__host__ cudaError_t CUDARTAPI cudaSetDevice(int device)
{
- if(g_debug_execution >= 3){
- announce_call(__my_func__);
- }
- //set the active device to run cuda
- if ( device <= GPGPUSim_Init()->num_devices() ) {
- g_active_device = device;
- return g_last_cudaError = cudaSuccess;
- } else {
- return g_last_cudaError = cudaErrorInvalidDevice;
- }
+ return cudaSetDeviceInternal(device);
}
__host__ cudaError_t CUDARTAPI cudaGetDevice(int *device)
{
- if(g_debug_execution >= 3){
- announce_call(__my_func__);
- }
- *device = g_active_device;
- return g_last_cudaError = cudaSuccess;
+ return cudaGetDeviceInternal(device);
}
__host__ cudaError_t CUDARTAPI cudaDeviceGetLimit ( size_t* pValue, cudaLimit limit )
@@ -2741,15 +2753,15 @@ void cuda_runtime_api::cuobjdumpInit(){
//! Either submit PTX for simulation or convert SASS to PTXPlus and submit it
-void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
+void gpgpu_context::cuobjdumpParseBinary(unsigned int handle){
CUctx_st *context = GPGPUSim_Context();
- if(fatbin_registered[handle]) return;
- fatbin_registered[handle] = true;
- std::string fname = fatbinmap[handle];
+ if(api->fatbin_registered[handle]) return;
+ api->fatbin_registered[handle] = true;
+ std::string fname = api->fatbinmap[handle];
- if (name_symtab.find(fname) != name_symtab.end()) {
- symbol_table *symtab = name_symtab[fname];
+ if (api->name_symtab.find(fname) != api->name_symtab.end()) {
+ symbol_table *symtab = api->name_symtab[fname];
context->add_binary(symtab, handle);
return;
}
@@ -2758,7 +2770,7 @@ void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
#if (CUDART_VERSION >= 6000)
//loops through all ptx files from smallest sm version to largest
std::map<unsigned,std::set<std::string> >::iterator itr_m;
- for (itr_m = version_filename.begin(); itr_m!=version_filename.end(); itr_m++){
+ for (itr_m = api->version_filename.begin(); itr_m!=api->version_filename.end(); itr_m++){
std::set<std::string>::iterator itr_s;
for (itr_s = itr_m->second.begin(); itr_s!=itr_m->second.end(); itr_s++){
std::string ptx_filename = *itr_s;
@@ -2766,11 +2778,11 @@ void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
symtab = gpgpu_ptx_sim_load_ptx_from_filename( ptx_filename.c_str() );
}
}
- name_symtab[fname] = symtab;
+ api->name_symtab[fname] = symtab;
context->add_binary(symtab, handle);
- load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
- load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
- for (itr_m = version_filename.begin(); itr_m!=version_filename.end(); itr_m++){
+ api->load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
+ api->load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
+ for (itr_m = api->version_filename.begin(); itr_m!=api->version_filename.end(); itr_m++){
std::set<std::string>::iterator itr_s;
for (itr_s = itr_m->second.begin(); itr_s!=itr_m->second.end(); itr_s++){
std::string ptx_filename = *itr_s;
@@ -2782,8 +2794,8 @@ void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
#endif
unsigned max_capability = 0;
- for ( std::list<cuobjdumpSection*>::iterator iter = cuobjdumpSectionList.begin();
- iter != cuobjdumpSectionList.end();
+ for ( std::list<cuobjdumpSection*>::iterator iter = api->cuobjdumpSectionList.begin();
+ iter != api->cuobjdumpSectionList.end();
iter++){
unsigned capability = (*iter)->getArch();
if (capability > max_capability) max_capability = capability;
@@ -2794,7 +2806,7 @@ void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
cuobjdumpPTXSection* ptx = NULL;
const char* pre_load = getenv("CUOBJDUMP_SIM_FILE");
if(pre_load==NULL || strlen(pre_load)==0)
- ptx = findPTXSection(fname);
+ ptx = api->findPTXSection(fname);
char *ptxcode;
const char *override_ptx_name = getenv("PTX_SIM_KERNELFILE");
if (override_ptx_name == NULL or getenv("PTX_SIM_USE_PTX_FILE") == NULL or strlen(getenv("PTX_SIM_USE_PTX_FILE"))==0) {
@@ -2804,7 +2816,7 @@ void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
ptxcode = readfile(override_ptx_name);
}
if(context->get_device()->get_gpgpu()->get_config().convert_to_ptxplus() ) {
- cuobjdumpELFSection* elfsection = findELFSection(ptx->getIdentifier());
+ cuobjdumpELFSection* elfsection = api->findELFSection(ptx->getIdentifier());
assert (elfsection!= NULL);
char *ptxplus_str = gpgpu_ptx_sim_convert_ptx_and_sass_to_ptxplus(
ptx->getPTXfilename(),
@@ -2822,9 +2834,9 @@ void cuda_runtime_api::cuobjdumpParseBinary(unsigned int handle){
context->add_binary(symtab, handle);
gpgpu_ptxinfo_load_from_string( ptxcode, handle, max_capability, context->no_of_ptx );
}
- load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
- load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
- name_symtab[fname] = symtab;
+ api->load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu());
+ api->load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu());
+ api->name_symtab[fname] = symtab;
//TODO: Remove temporarily files as per configurations
}
@@ -3305,7 +3317,7 @@ int CUDARTAPI __cudaSynchronizeThreads(void**, void*)
/// static functions
-static int load_static_globals( symbol_table *symtab, unsigned min_gaddr, unsigned max_gaddr, gpgpu_t *gpu )
+int cuda_runtime_api::load_static_globals( symbol_table *symtab, unsigned min_gaddr, unsigned max_gaddr, gpgpu_t *gpu )
{
if(g_debug_execution >= 3){
announce_call(__my_func__);
@@ -3344,7 +3356,7 @@ static int load_static_globals( symbol_table *symtab, unsigned min_gaddr, unsign
return ng_bytes;
}
-static int load_constants( symbol_table *symtab, addr_t min_gaddr, gpgpu_t *gpu )
+int cuda_runtime_api::load_constants( symbol_table *symtab, addr_t min_gaddr, gpgpu_t *gpu )
{
if(g_debug_execution >= 3){
announce_call(__my_func__);
generated by cgit v1.3 (git 2.53.0) at 2026-07-10 22:41:56 +0000