From 37a709bb69fcd9f2b0fe53a189e92e548164cc4b Mon Sep 17 00:00:00 2001
From: Mahmoud <abdallm@purdue.edu>
Date: Wed, 5 Jun 2019 19:18:29 -0400
Subject: adding new cuda 9 APIs to run the deepbench workloads

---
 src/abstract_hardware_model.cc | 22 ++++++++++++++++++++++
 src/abstract_hardware_model.h  |  1 +
 src/gpgpu-sim/gpu-sim.cc       | 10 ++++++++++
 src/gpgpu-sim/gpu-sim.h        |  2 ++
 4 files changed, 35 insertions(+)

(limited to 'src')

diff --git a/src/abstract_hardware_model.cc b/src/abstract_hardware_model.cc
index cebdb25..023f51b 100644
--- a/src/abstract_hardware_model.cc
+++ b/src/abstract_hardware_model.cc
@@ -691,6 +691,28 @@ unsigned g_kernel_launch_latency;
 
 unsigned kernel_info_t::m_next_uid = 1;
 
+kernel_info_t::kernel_info_t( dim3 gridDim, dim3 blockDim, class function_info *entry)
+{
+    m_kernel_entry=entry;
+    m_grid_dim=gridDim;
+    m_block_dim=blockDim;
+    m_next_cta.x=0;
+    m_next_cta.y=0;
+    m_next_cta.z=0;
+    m_next_tid=m_next_cta;
+    m_num_cores_running=0;
+    m_uid = m_next_uid++;
+    m_param_mem = new memory_space_impl<8192>("param",64*1024);
+
+    //Jin: parent and child kernel management for CDP
+    m_parent_kernel = NULL;
+
+    //Jin: launch latency management
+    m_launch_latency = g_kernel_launch_latency;
+
+    volta_cache_config_set=false;
+}
+
 /*A snapshot of the texture mappings needs to be stored in the kernel's info as 
 kernels should use the texture bindings seen at the time of launch and textures
  can be bound/unbound asynchronously with respect to streams. */
diff --git a/src/abstract_hardware_model.h b/src/abstract_hardware_model.h
index 22ef509..64bbaa2 100644
--- a/src/abstract_hardware_model.h
+++ b/src/abstract_hardware_model.h
@@ -212,6 +212,7 @@ public:
 //      m_num_cores_running=0;
 //      m_param_mem=NULL;
 //   }
+   kernel_info_t( dim3 gridDim, dim3 blockDim, class function_info *entry);
    kernel_info_t( dim3 gridDim, dim3 blockDim, class function_info *entry, std::map<std::string, const struct cudaArray*> nameToCudaArray, std::map<std::string, const struct textureInfo*> nameToTextureInfo);
    ~kernel_info_t();
 
diff --git a/src/gpgpu-sim/gpu-sim.cc b/src/gpgpu-sim/gpu-sim.cc
index c1ba934..6de5845 100644
--- a/src/gpgpu-sim/gpu-sim.cc
+++ b/src/gpgpu-sim/gpu-sim.cc
@@ -806,6 +806,16 @@ int gpgpu_sim::shader_clock() const
    return m_config.core_freq/1000;
 }
 
+int gpgpu_sim::max_cta_per_core() const
+{
+   return m_shader_config->max_cta_per_core;
+}
+
+int gpgpu_sim::get_max_cta( const kernel_info_t &k ) const
+{
+   return m_shader_config->max_cta(k);
+}
+
 void gpgpu_sim::set_prop( cudaDeviceProp *prop )
 {
    m_cuda_properties = prop;
diff --git a/src/gpgpu-sim/gpu-sim.h b/src/gpgpu-sim/gpu-sim.h
index c8dad89..7336cac 100644
--- a/src/gpgpu-sim/gpu-sim.h
+++ b/src/gpgpu-sim/gpu-sim.h
@@ -455,6 +455,8 @@ public:
    int num_registers_per_block() const;
    int wrp_size() const;
    int shader_clock() const;
+   int max_cta_per_core() const;
+   int get_max_cta( const kernel_info_t &k ) const;
    const struct cudaDeviceProp *get_prop() const;
    enum divergence_support_t simd_model() const; 
 
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