Added cpu config

README.md

@@ -56,3 +56,9 @@ We need to decide what level of optimization we want to do with gcc.
 For example, with O1, the img\_gray.c will *not* vectorize the grayscale
     conversion, but with O2, it will.
 One thought is that if we compare the speedup between vectorized and non-vectorized, that wil give us an idea of the impact of the vector instructions?
+
+## Basic CPU Configuration
+
+I copied the given class configuration for the CPU microachitectural details.
+It uses an Intel Skylake style cache hierarchy.
+We should think about if the actual details matter.

simple.py

@@ -2,7 +2,7 @@
 import m5
 from m5.objects import *
 
-m5.util.addToPath("../../gem5/configs/")
+m5.util.addToPath("../gem5/configs/")
 
 from caches import *
 
@@ -39,7 +39,7 @@ system.cpu.dcache.connectBus(system.l2bus)
 
 # Create L2 cache
 system.l2cache = L2Cache()
-system.l2cache.connectBPUSideBus(system.l2bus)
+system.l2cache.connectCPUSideBus(system.l2bus)
 
 # Create L3 bus
 system.l3bus = L3XBar()
@@ -70,11 +70,11 @@ system.mem_ctrl.port = system.membus.mem_side_ports
 thispath = os.path.dirname(os.path.realpath(__file__))
 binary = os.path.join(
     thispath,
-    "./matmul.novector",
+    #"./matmul.novector",
     #"./matmul86",
     #"./nq86",
     #"./lts86",
-    #"./Bubblesort-arm",
+    "./Bubblesort-arm",
 )
 system.workload = SEWorkload.init_compatible(binary)