- Checkpointing new support for concurrent kernel execution (CUDA only, not OpenCL)

  This changelist adds full support for streams supported by a new class,
  stream_manager and enables concurrent execution of kernels from different
  streams.

- fast_regression.sh fails for simpleMultiCopy, simpleStreams (other tests
  passing)

** Known issues **
- Kernel parameter passing is not done correctly for concurrent kernel execution
  (somehow concurrentKernels is not affected by this): the parameters are
  stored inside function_info, which is shared among parallel kernel launches
  so that the values passed into the launch are likely to get overwritten if
  multiple grids are launched in parallel streams.

- Statistics are printed out whenever the simulation thread runs out of
  cuda commands (doesn't make sense to print out when a kernel ends during
  concurrent kernel execution).  This will probably require further tweaking
  so as to be more compatible with data collection scripts.

[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 8302]

1 files changed, 1 insertions, 1 deletions

diff --git a/src/cuda-sim/cuda-sim.h b/src/cuda-sim/cuda-sim.h
index e7c1965..ef045fb 100644
--- a/src/cuda-sim/cuda-sim.h
+++ b/src/cuda-sim/cuda-sim.h
@@ -25,7 +25,7 @@ extern class kernel_info_t gpgpu_opencl_ptx_sim_init_grid(class function_info *e
                                             struct dim3 gridDim, 
                                             struct dim3 blockDim, 
                                                           class gpgpu_t *gpu );
-extern void gpgpu_cuda_ptx_sim_main_func( kernel_info_t kernel, dim3 gridDim, dim3 blockDim, gpgpu_ptx_sim_arg_list_t args);
+extern void gpgpu_cuda_ptx_sim_main_func( kernel_info_t kernel );
 extern void   print_splash();
 extern void   gpgpu_ptx_sim_register_const_variable(void*, const char *deviceName, size_t size );
 extern void   gpgpu_ptx_sim_register_global_variable(void *hostVar, const char *deviceName, size_t size );