Cache: Collect very basic stats on tag and data accesses

Adds very basic statistics on the number of tag and data accesses within the
cache, which is important for power modelling.  For the tags, simply count
the associativity of the cache each time.  For the data, this depends on
whether tags and data are accessed sequentially, which is given by a new
parameter.  In the parallel case, all data blocks are accessed each time, but
with sequential accesses, a single data block is accessed only on a hit.

1 files changed, 2 insertions, 0 deletions

diff --git a/src/mem/cache/tags/Tags.py b/src/mem/cache/tags/Tags.py
index c5beff4a7..7c0dded32 100644
--- a/src/mem/cache/tags/Tags.py
+++ b/src/mem/cache/tags/Tags.py
@@ -58,6 +58,8 @@ class LRU(BaseTags):
     cxx_class = 'LRU'
     cxx_header = "mem/cache/tags/lru.hh"
     assoc = Param.Int(Parent.assoc, "associativity")
+    sequential_access = Param.Bool(Parent.sequential_access,
+        "Whether to access tags and data sequentially")
 
 class FALRU(BaseTags):
     type = 'FALRU'