diff --git a/torch_npu/profiler/analysis/prof_common_func/global_var.py b/torch_npu/profiler/analysis/prof_common_func/global_var.py
index 99414b764bbe449935f598a31dbaef56cfac199b..1c49756a399261e55a4c81fbcc72123209019c59 100644
--- a/torch_npu/profiler/analysis/prof_common_func/global_var.py
+++ b/torch_npu/profiler/analysis/prof_common_func/global_var.py
@@ -29,7 +29,8 @@ class GlobalVar:
         for level1_node in root_node.child_node_list:
             if level1_node.is_profiler_step():
                 step_id = level1_node.event.name.split("#")[-1]
-                cls.step_range.append([step_id, level1_node.device_start, level1_node.device_end])
+                cls.step_range.append([step_id, level1_node.device_start,
+                                       max(level1_node.device_end, level1_node.end_time)])
         cls.torch_op_tree_node = TreeBuilder.go_through_tree(root_node)
 
     @classmethod
diff --git a/torch_npu/profiler/analysis/prof_view/trace_view_parser.py b/torch_npu/profiler/analysis/prof_view/trace_view_parser.py
index 394323b9698e1166596db4a25383fa1f0f8eafd1..ff04dcdbc28a37d60b2ee95fbf0297c730d80b78 100644
--- a/torch_npu/profiler/analysis/prof_view/trace_view_parser.py
+++ b/torch_npu/profiler/analysis/prof_view/trace_view_parser.py
@@ -36,15 +36,22 @@ class TraceViewParser(BaseViewParser):
     @staticmethod
     def _prune_trace_by_level(json_data: list) -> list:
         prune_config = ProfilerConfig().get_prune_config()
+        prune_process = ProfilerConfig().get_prune_process()
         if not prune_config or not json_data:
             return json_data
         result = []
+        prune_pid = []
+        for data in json_data:
+            if data.get("name", "") == "process_name" and data.get("args", {}).get("name", "") in prune_process:
+                prune_pid.append(data.get("pid", ""))
         for data in json_data:
             prune_flag = False
+            if data.get("pid") in prune_pid:
+                continue
             for prune_key in prune_config:
                 if data.get("name", "").startswith(prune_key) or data.get("args", {}).get("name", "") == prune_key:
                     prune_flag = True
-                    continue
+                    break
             if not prune_flag:
                 result.append(data)
         return result
diff --git a/torch_npu/profiler/analysis/profiler_config.py b/torch_npu/profiler/analysis/profiler_config.py
index f76678d8c9f41e4875a219e9618ccab7d39fbd23..e770628888ba711177298abe78ad52ad840a7f53 100644
--- a/torch_npu/profiler/analysis/profiler_config.py
+++ b/torch_npu/profiler/analysis/profiler_config.py
@@ -19,8 +19,13 @@ class ProfilerConfig:
         Constant.LEVEL1: [],
         Constant.LEVEL2: [(CANNDataEnum.AI_CPU, AiCpuBean)]
     }
+    LEVEL_PROCESS_PRUNE_CONFIG = {
+        Constant.LEVEL0: ['CANN', 'HBM', 'LLC', 'NPU_MEM'],
+        Constant.LEVEL1: ['HBM', 'LLC', 'NPU_MEM'],
+        Constant.LEVEL2: []
+    }
     LEVEL_TRACE_PRUNE_CONFIG = {
-        Constant.LEVEL0: ['CANN', 'AscendCL', 'Runtime', 'GE', 'Node', 'Model', 'Hccl', 'acl_to_npu'],
+        Constant.LEVEL0: ['HostToDevice'],
         Constant.LEVEL1: ['Runtime', 'GE', 'Node', 'Model', 'Hccl'],
         Constant.LEVEL2: []
     }
@@ -82,6 +87,9 @@ class ProfilerConfig:
     def get_prune_config(self):
         return self.LEVEL_TRACE_PRUNE_CONFIG.get(self._profiler_level)
 
+    def get_prune_process(self):
+        return self.LEVEL_PROCESS_PRUNE_CONFIG.get(self._profiler_level)
+
     def is_all_kernel_headers(self):
         if self._ai_core_metrics != Constant.AicMetricsNone:
             return True