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Diffstat (limited to 'src/gpgpu-sim/gpu-sim.cc')
-rw-r--r--src/gpgpu-sim/gpu-sim.cc41
1 files changed, 40 insertions, 1 deletions
diff --git a/src/gpgpu-sim/gpu-sim.cc b/src/gpgpu-sim/gpu-sim.cc
index a8be4d2..79a6fcd 100644
--- a/src/gpgpu-sim/gpu-sim.cc
+++ b/src/gpgpu-sim/gpu-sim.cc
@@ -58,6 +58,7 @@
#include "../debug.h"
#include "../gpgpusim_entrypoint.h"
#include "../cuda-sim/cuda-sim.h"
+#include "../cuda-sim/ptx_ir.h"
#include "../trace.h"
#include "mem_latency_stat.h"
#include "power_stat.h"
@@ -284,6 +285,9 @@ void shader_core_config::reg_options(class OptionParser * opp)
option_parser_register(opp, "-gpgpu_shader_registers", OPT_UINT32, &gpgpu_shader_registers,
"Number of registers per shader core. Limits number of concurrent CTAs. (default 8192)",
"8192");
+ option_parser_register(opp, "-gpgpu_registers_per_block", OPT_UINT32, &gpgpu_registers_per_block,
+ "Maximum number of registers per CTA. (default 8192)",
+ "8192");
option_parser_register(opp, "-gpgpu_ignore_resources_limitation", OPT_BOOL, &gpgpu_ignore_resources_limitation,
"gpgpu_ignore_resources_limitation (default 0)",
"0");
@@ -305,6 +309,9 @@ void shader_core_config::reg_options(class OptionParser * opp)
option_parser_register(opp, "-gpgpu_n_ldst_response_buffer_size", OPT_UINT32, &ldst_unit_response_queue_size,
"number of response packets in ld/st unit ejection buffer",
"2");
+ option_parser_register(opp, "-gpgpu_shmem_per_block", OPT_UINT32, &gpgpu_shmem_per_block,
+ "Size of shared memory per thread block or CTA (default 48kB)",
+ "49152");
option_parser_register(opp, "-gpgpu_shmem_size", OPT_UINT32, &gpgpu_shmem_size,
"Size of shared memory per shader core (default 16kB)",
"16384");
@@ -736,11 +743,21 @@ int gpgpu_sim::shared_mem_size() const
return m_shader_config->gpgpu_shmem_size;
}
+int gpgpu_sim::shared_mem_per_block() const
+{
+ return m_shader_config->gpgpu_shmem_per_block;
+}
+
int gpgpu_sim::num_registers_per_core() const
{
return m_shader_config->gpgpu_shader_registers;
}
+int gpgpu_sim::num_registers_per_block() const
+{
+ return m_shader_config->gpgpu_registers_per_block;
+}
+
int gpgpu_sim::wrp_size() const
{
return m_shader_config->warp_size;
@@ -1397,22 +1414,44 @@ void shader_core_ctx::issue_block2core( kernel_info_t &kernel )
// bind functional simulation state of threads to hardware resources (simulation)
warp_set_t warps;
unsigned nthreads_in_block= 0;
+ function_info *kernel_func_info = kernel.entry();
+ symbol_table * symtab= kernel_func_info->get_symtab();
+ unsigned ctaid= kernel.get_next_cta_id_single();
+ checkpoint *g_checkpoint= new checkpoint();
for (unsigned i = start_thread; i<end_thread; i++) {
m_threadState[i].m_cta_id = free_cta_hw_id;
unsigned warp_id = i/m_config->warp_size;
nthreads_in_block += ptx_sim_init_thread(kernel,&m_thread[i],m_sid,i,cta_size-(i-start_thread),m_config->n_thread_per_shader,this,free_cta_hw_id,warp_id,m_cluster->get_gpu());
m_threadState[i].m_active = true;
+ // load thread local memory and register file
+ if(m_gpu->resume_option==1 && kernel.get_uid()==m_gpu->resume_kernel && ctaid>=m_gpu->resume_CTA && ctaid<m_gpu->checkpoint_CTA_t )
+ {
+ char fname[2048];
+ snprintf(fname,2048,"checkpoint_files/thread_%d_%d_reg.txt",i%cta_size,ctaid );
+ m_thread[i]->resume_reg_thread(fname,symtab);
+ char f1name[2048];
+ snprintf(f1name,2048,"checkpoint_files/local_mem_thread_%d_%d_reg.txt",i%cta_size,ctaid);
+ g_checkpoint->load_global_mem(m_thread[i]->m_local_mem, f1name);
+ }
+ //
warps.set( warp_id );
}
assert( nthreads_in_block > 0 && nthreads_in_block <= m_config->n_thread_per_shader); // should be at least one, but less than max
m_cta_status[free_cta_hw_id]=nthreads_in_block;
+ if(m_gpu->resume_option==1 && kernel.get_uid()==m_gpu->resume_kernel && ctaid>=m_gpu->resume_CTA && ctaid<m_gpu->checkpoint_CTA_t )
+ {
+ char f1name[2048];
+ snprintf(f1name,2048,"checkpoint_files/shared_mem_%d.txt", ctaid);
+
+ g_checkpoint->load_global_mem(m_thread[start_thread]->m_shared_mem, f1name);
+ }
// now that we know which warps are used in this CTA, we can allocate
// resources for use in CTA-wide barrier operations
m_barriers.allocate_barrier(free_cta_hw_id,warps);
// initialize the SIMT stacks and fetch hardware
- init_warps( free_cta_hw_id, start_thread, end_thread);
+ init_warps( free_cta_hw_id, start_thread, end_thread, ctaid, cta_size, kernel.get_uid());
m_n_active_cta++;
shader_CTA_count_log(m_sid, 1);