--- /dev/null
+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
+
+"""
+
+ 6600 LD/ST Dependency Table Matrix inputs / outputs
+ ---------------------------------------------------
+
+"""
+
+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(n_ldst, reset_less=True) # load holds st out
+ self.st_hold_ld_o = Signal(n_ldst, 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 = Const(0) # start at const 0
+ shl = Const(0) # (does no harm)
+ lhs_l = []
+ shl_l = []
+ load_l = []
+ stor_l = []
+ issue_l = []
+ lh_l = []
+ sh_l = []
+ for fu in range(self.n_ldst):
+ dc = dm[fu]
+ # OR the load-hold-store / store-hold-load cell outputs in...
+ _lhs = lhs
+ _shl = shl
+ lhs = Signal(reset_less=True)
+ shl = Signal(reset_less=True)
+ m.d.comb += [lhs.eq(_lhs | dc.ld_hold_st_o),
+ shl.eq(_shl | dc.st_hold_ld_o)
+ ]
+ # accumulate load-hold-store / store-hold-load bits
+ lhs_l.append(lhs)
+ shl_l.append(shl)
+ # 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))
+ m.d.comb += self.st_hold_ld_o.eq(Cat(*shl_l))
+
+ 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_read_i.eq(1)
+ yield
+ yield dut.go_read_i.eq(0)
+ yield
+ yield dut.go_write_i.eq(1)
+ yield
+ yield dut.go_write_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()