Added simulation time modeling to regression model.

compiler/characterizer/lib.py

@@ -26,6 +26,7 @@ class lib:
         self.sram = sram
         self.sp_file = sp_file
         self.use_model = use_model
+        self.pred_time = None
         self.set_port_indices()
 
         self.prepare_tables()
@@ -151,7 +152,10 @@ class lib:
             self.corner_name = lib_name.replace(self.out_dir,"").replace(".lib","")
             self.characterize()
             self.lib.close()
-            total_time = time.time()-run_start
+            if self.pred_time == None:
+                total_time = time.time()-run_start
+            else:
+                total_time = self.pred_time
             self.parse_info(self.corner,lib_name, is_first_corner, total_time)
             is_first_corner = False
 
@@ -637,7 +641,9 @@ class lib:
             probe_data = self.sram.word_size - 1
             char_results = self.d.analyze(probe_address, probe_data, self.load_slews)
         self.char_sram_results, self.char_port_results = char_results
-
+        if 'sim_time' in self.char_sram_results:
+            self.pred_time = self.char_sram_results['sim_time']
+        
     def compute_setup_hold(self):
         """ Do the analysis if we haven't characterized a FF yet """
         # Do the analysis if we haven't characterized a FF yet

compiler/characterizer/regression_model.py

@@ -22,7 +22,8 @@ data_fnames = ["rise_delay.csv",
                "write0_power.csv",
                "read1_power.csv",
                "read0_power.csv",
-               "leakage_data.csv"]
+               "leakage_data.csv",
+               "sim_time.csv"]
 # Positions must correspond to data_fname list               
 lib_dnames = ["delay_lh",
               "delay_hl",
@@ -32,7 +33,8 @@ lib_dnames = ["delay_lh",
               "write0_power",
               "read1_power",
               "read0_power",
-              "leakage_power"] 
+              "leakage_power",
+              "sim_time"] 
 # Check if another data dir was specified
 if OPTS.sim_data_path == None:              
     data_dir = OPTS.openram_tech+relative_data_path
@@ -100,7 +102,8 @@ class regression_model(simulation):
         # Estimate the period as double the delay with margin
         period_margin = 0.1
         sram_data = {"min_period": sram_vals['delay_lh'] * 2,
-                     "leakage_power": sram_vals["leakage_power"]}
+                     "leakage_power": sram_vals["leakage_power"],
+                     "sim_time":sram_vals["sim_time"]}
 
         debug.info(2, "SRAM Data:\n{}".format(sram_data))
         debug.info(2, "Port Data:\n{}".format(port_data))