_match_messages

pipit/trace.py

@@ -190,6 +190,96 @@ def _match_events(self):
 
             self.events = self.events.astype({"_matching_event": "Int32"})
 
+    def _match_messages(self):
+        """
+        Matches corresponding MpiSend/MpiRecv and MpiIsend/MpiIrecv instant events
+        """
+        if "_matching_event" not in self.events.columns:
+            self.events["_matching_event"] = None
+
+        if "_matching_timestamp" not in self.events.columns:
+            self.events["_matching_timestamp"] = np.nan
+
+        matching_events = list(self.events["_matching_event"])
+        matching_times = list(self.events["_matching_timestamp"])
+
+        # Filter by send/receive events
+        send_events_names = ["MpiSend", "MpiISend"]
+
+        send_events = self.events[self.events["Name"].isin(send_events_names)]
+
+        receive_events_names = ["MpiRecv", "MpiIrecv"]
+
+        receive_events = self.events[self.events["Name"].isin(receive_events_names)]
+
+        # Queue is a dictionary in which each receiving process (key) will have
+        # another dictionary of sending processes (key) that will have a list of
+        # tuple that each contain information about an associated send event
+        queue: dict[int, dict[int, (int, int)]] = {}
+        df_indices = list(send_events.index)
+        timestamps = list(send_events["Timestamp (ns)"])
+        attrs = list(send_events["Attributes"])
+        processes = list(send_events["Process"])
+
+        # First iterate over send events, adding each event's information
+        # to the receiver's list in the dictionary
+        for i in range(len(send_events)):
+            curr_df_index = df_indices[i]
+            curr_timestamp = timestamps[i]
+            curr_attrs = attrs[i]
+            curr_process = processes[i]
+
+            # Add current dataframe index, timestamp, and process to stack
+            if "receiver" in curr_attrs:
+                receiving_process = curr_attrs["receiver"]
+
+                # Add receiving process to queue if not already present
+                if receiving_process not in queue:
+                    queue[receiving_process] = {}
+                # Add sending process to receiving process's queue
+                # if not already present
+                if curr_process not in queue[receiving_process]:
+                    queue[receiving_process][curr_process] = []
+
+                # Add current dataframe index and timestamp to the correct queue
+                queue[receiving_process][curr_process].append(
+                    (curr_df_index, curr_timestamp)
+                )
+
+        df_indices = list(receive_events.index)
+        timestamps = list(receive_events["Timestamp (ns)"])
+        attrs = list(receive_events["Attributes"])
+        processes = list(receive_events["Process"])
+
+        # Now iterate over receive events
+        for i in range(len(receive_events)):
+            curr_df_index = df_indices[i]
+            curr_timestamp = timestamps[i]
+            curr_attrs = attrs[i]
+            curr_process = processes[i]
+
+            if "sender" in curr_attrs:
+                # send_process = None
+                send_process = curr_attrs["sender"]
+
+                if len(queue[curr_process][send_process]) > 0:
+                    # Get the corresponding "send" event
+                    send_df_index, send_timestamp = queue[curr_process][
+                        send_process
+                    ].pop(0)
+
+                    # Fill in the lists with the matching values
+                    matching_events[send_df_index] = curr_df_index
+                    matching_events[curr_df_index] = send_df_index
+
+                    matching_times[send_df_index] = curr_timestamp
+                    matching_times[curr_df_index] = send_timestamp
+
+        self.events["_matching_event"] = matching_events
+        self.events["_matching_timestamp"] = matching_times
+
+        self.events = self.events.astype({"_matching_event": "Int32"})
+
     def _match_caller_callee(self):
         """Matches callers (parents) to callees (children) and adds three
         columns to the dataframe: