add ldst_matrix.py back in, needs some work though

diff --git a/src/experiment/score6600.py b/src/experiment/score6600.py
index 2132a358bf6e23a1a42867e37de0b04c99f194de..212653b198714ed7c2291f8ed5152218185ec1c3 100644 (file)
--- a/src/experiment/score6600.py
+++ b/src/experiment/score6600.py
@@ -977,7 +977,7 @@ def scoreboard_sim(dut, alusim):
 
     seed(0)
 
 
     seed(0)
 

-    for i in range(1):
+    for i in range(50):

 
         # set random values in the registers
         for i in range(1, dut.n_regs):
 
         # set random values in the registers
         for i in range(1, dut.n_regs):


@@ -989,7 +989,7 @@ def scoreboard_sim(dut, alusim):
 
         # create some instructions (some random, some regression tests)
         instrs = []
 
         # create some instructions (some random, some regression tests)
         instrs = []

-        if False:
+        if True:

             instrs = create_random_ops(dut, 15, True, 4)
 
         if False:
             instrs = create_random_ops(dut, 15, True, 4)
 
         if False:


@@ -1007,7 +1007,7 @@ def scoreboard_sim(dut, alusim):
             instrs.append((5, 3, 3, 3, 0, 0, (0, 0)))
             instrs.append((3, 5, 5, 0, 0, 0, (0, 0)))
 
             instrs.append((5, 3, 3, 3, 0, 0, (0, 0)))
             instrs.append((3, 5, 5, 0, 0, 0, (0, 0)))
 

-        if True:
+        if False:

             instrs.append( (3, 3, 4, 0, 0, 13979, (0, 0)))
             instrs.append( (6, 4, 1, 2, 0, 40976, (0, 0)))
             instrs.append( (1, 4, 7, 4, 1, 23652, (0, 0)))
             instrs.append( (3, 3, 4, 0, 0, 13979, (0, 0)))
             instrs.append( (6, 4, 1, 2, 0, 40976, (0, 0)))
             instrs.append( (1, 4, 7, 4, 1, 23652, (0, 0)))

diff --git a/src/scoreboard/ldst_matrix.py b/src/scoreboard/ldst_matrix.py
new file mode 100644 (file)
index 0000000..dc9d736
--- /dev/null
+++ b/src/scoreboard/ldst_matrix.py
@@ -0,0 +1,135 @@
+""" Mitch Alsup 6600-style LD/ST Memory Scoreboard Matrix (sparse vector)
+
+6600 LD/ST Dependency Table Matrix inputs / outputs
+---------------------------------------------------
+
+Relevant comments (p45-46):
+
+* If there are no WAR dependencies on a Load instruction with a computed
+  address it can assert Bank_Addressable and Translate_Addressable.
+
+* If there are no RAW dependencies on a Store instruction with both a
+  write permission and store data present it can assert Bank_Addressable
+
+Relevant bugreports:
+* http://bugs.libre-riscv.org/show_bug.cgi?id=81
+
+"""
+
+from nmigen.compat.sim import run_simulation
+from nmigen.cli import verilog, rtlil
+from nmigen import Module, Signal, Elaboratable, Array, Cat, Const
+
+from ldst_dep_cell import LDSTDepCell
+
+
+class LDSTDepMatrix(Elaboratable):
+    """ implements 11.4.12 mitch alsup LD/ST Dependency Matrix, p46
+        actually a sparse matrix along the diagonal.
+
+        load-hold-store and store-hold-load accumulate in a priority-picking
+        fashion, ORing together.  the OR gate from the dependency cell is
+        here.
+    """
+    def __init__(self, n_ldst):
+        self.n_ldst = n_ldst                  # X and Y (FUs)
+        self.load_i = Signal(n_ldst, reset_less=True)  # load pending in
+        self.stor_i = Signal(n_ldst, reset_less=True)  # store pending in
+        self.issue_i = Signal(n_ldst, reset_less=True) # Issue in
+
+        self.load_hit_i = Signal(n_ldst, reset_less=True) # load hit in
+        self.stwd_hit_i = Signal(n_ldst, reset_less=True) # store w/data hit in
+
+        # outputs
+        self.ld_hold_st_o = Signal(reset_less=True) # load holds st out
+        self.st_hold_ld_o = Signal(reset_less=True) # st holds load out
+
+    def elaborate(self, platform):
+        m = Module()
+
+        # ---
+        # matrix of dependency cells
+        # ---
+        dm = Array(LDSTDepCell() for f in range(self.n_ldst))
+        for fu in range(self.n_ldst):
+            setattr(m.submodules, "dm_fu%d" % (fu), dm[fu])
+
+        # ---
+        # connect Function Unit vector
+        # ---
+        lhs_l = []
+        shl_l = []
+        load_l = []
+        stor_l = []
+        issue_l = []
+        lh_l = []
+        sh_l = []
+        for fu in range(self.n_ldst):
+            dc = dm[fu]
+            # accumulate load-hold-store / store-hold-load bits
+            lhs_l.append(dc.ld_hold_st_o)
+            shl_l.append(dc.st_hold_ld_o)
+            # accumulate inputs (for Cat'ing later) - TODO: must be a better way
+            load_l.append(dc.load_i)
+            stor_l.append(dc.stor_i)
+            issue_l.append(dc.issue_i)
+            lh_l.append(dc.load_hit_i)
+            sh_l.append(dc.stwd_hit_i)
+
+        # connect cell inputs using Cat(*list_of_stuff)
+        m.d.comb += [Cat(*load_l).eq(self.load_i),
+                     Cat(*stor_l).eq(self.stor_i),
+                     Cat(*issue_l).eq(self.issue_i),
+                     Cat(*lh_l).eq(self.load_hit_i),
+                     Cat(*sh_l).eq(self.stwd_hit_i),
+                    ]
+        # set the load-hold-store / store-hold-load OR-accumulated outputs
+        m.d.comb += self.ld_hold_st_o.eq(Cat(*lhs_l).bool())
+        m.d.comb += self.st_hold_ld_o.eq(Cat(*shl_l).bool())
+
+        return m
+
+    def __iter__(self):
+        yield self.load_i
+        yield self.stor_i
+        yield self.issue_i
+        yield self.load_hit_i
+        yield self.stwd_hit_i
+        yield self.ld_hold_st_o
+        yield self.st_hold_ld_o
+
+    def ports(self):
+        return list(self)
+
+def d_matrix_sim(dut):
+    """ XXX TODO
+    """
+    yield dut.dest_i.eq(1)
+    yield dut.issue_i.eq(1)
+    yield
+    yield dut.issue_i.eq(0)
+    yield
+    yield dut.src1_i.eq(1)
+    yield dut.issue_i.eq(1)
+    yield
+    yield dut.issue_i.eq(0)
+    yield
+    yield dut.go_rd_i.eq(1)
+    yield
+    yield dut.go_rd_i.eq(0)
+    yield
+    yield dut.go_wr_i.eq(1)
+    yield
+    yield dut.go_wr_i.eq(0)
+    yield
+
+def test_d_matrix():
+    dut = LDSTDepMatrix(n_ldst=4)
+    vl = rtlil.convert(dut, ports=dut.ports())
+    with open("test_ld_st_matrix.il", "w") as f:
+        f.write(vl)
+
+    run_simulation(dut, d_matrix_sim(dut), vcd_name='test_ld_st_matrix.vcd')
+
+if __name__ == '__main__':
+    test_d_matrix()