def pe_legality(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
''' Assert ops are not placed on PE's that do not support them '''
c = []
for pe in cgra.functional_units:
for op in design.operations:
if op.opcode not in pe.ops:
c.append(vars[pe, op] == 0)
return solver.And(c)
def pe_exclusivity(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
''' Assert all PEs are used at most one time '''
bv = solver.BitVec(len(design.operations))
c = []
for pe in cgra.functional_units:
pe_vars = vars.anonymous_var(bv)
for idx, op in enumerate(design.operations):
c.append(pe_vars[idx] == vars[pe, op])
c.append(_is_one_hot_or_0(pe_vars, solver))
return solver.And(c)
def freaze_fus(
model : Model,
cgra : MRRG,
design : Design,
vars : Modeler,
solver : Solver) -> Term:
c = []
for pe in cgra.functional_units:
for op in design.operations:
c.append(vars[pe, op] == model[pe, op])
return solver.And(c)
def routing_resource_usage(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
'''
if a routing node is used to route a value to a dst then then it is used to
route the value
'''
c = []
for node in cgra.all_nodes:
for value in design.values:
v = vars[node, value]
v_ = ft.reduce(solver.BVOr, (vars[node, value, dst] for dst in value.dsts))
c.append(v == v_)
return solver.And(c)
def op_placement(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
''' Assert all ops are placed exactly one time
unless they can be duplicated in which case assert they are placed '''
bv = solver.BitVec(len(cgra.functional_units))
c = []
for op in design.operations:
if op.duplicate:
c.append(ft.reduce(solver.BVOr, (vars[pe, op] for pe in cgra.functional_units)) == 1)
else:
op_vars = vars.anonymous_var(bv)
for idx,pe in enumerate(cgra.functional_units):
c.append(op_vars[idx] == vars[pe, op])
c.append(_is_one_hot(op_vars, solver))
return solver.And(c)
def route_exclusivity(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
'''
each routing node is used for at most one value
for all node in nodes:
popcount(vars[node, value] for value in values) <= 1
'''
bv = solver.BitVec(len(design.values))
c = []
for node in cgra.all_nodes:
node_vars = vars.anonymous_var(bv)
for idx, value in enumerate(design.values):
c.append(node_vars[idx] == vars[node, value])
c.append(_is_one_hot_or_0(node_vars, solver))
return solver.And(c)
def limit_popcount_total(
node_filter : NodeFilter,
l : int,
n : int,
cgra : MRRG,
design : Design,
vars : Modeler,
solver : Solver) -> Term:
v = vars[node_filter]
if n is None:
return solver.BVUle(l, v)
if n < 0 or n < l:
assert 0
elif n.bit_length() > v.sort.width or l.bit_length() > v.sort.width:
assert 0
else:
# return solver.BVUle(v, n)
return solver.And(solver.BVUle(l, v), solver.BVUle(v, n))
def output_connectivity(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
'''
if node used to route a value then exactly one of its outputs also
routes that value
'''
c = []
for node in cgra.all_nodes:
bv = solver.BitVec(len(node.outputs.values()))
for value in design.values:
if isinstance(node, mrrg.FU_Port):
continue
for dst in value.dsts:
v = vars[node, value, dst]
i_vars = vars.anonymous_var(bv)
for idx, n in enumerate(node.outputs.values()):
c.append(i_vars[idx] == vars[n, value, dst])
c.append(solver.Or(v == 0, _is_one_hot(i_vars, solver)))
return solver.And(c)
def port_placement(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
'''
values terminate at the input port of their op
'''
c = []
for pe in cgra.functional_units:
for value in design.values:
for dst in value.dsts:
op, operand = dst
if op.opcode not in pe.ops:
for port in pe.operands.values():
v_ = vars[port, value, dst]
c.append(v_ == 0)
else:
port = pe.operands[operand]
v = vars[pe, op]
v_ = vars[port, value, dst]
c.append(v == v_)
return solver.And(c)
def init_value(cgra : MRRG, design : Design, vars : Modeler, solver : Solver) -> Term:
'''
values are routed from the pe which holds their source op
'''
c = []
for pe in cgra.functional_units:
for value in design.values:
src = value.src
v = vars[pe, src]
if src.opcode not in pe.ops:
c.append(vars[pe, value] == 0)
elif src.duplicate:
v_ = vars[pe, value]
c.append(v == v_)
else:
for dst in value.dsts:
v_ = vars[pe, value, dst]
c.append(v == v_)
return solver.And(c)
def init_popcount_bithack(
node_filter : NodeFilter,
cgra : MRRG,
design : Design,
vars : Modeler,
solver : Solver) -> Term:
def _build_grouped_mask(k, n):
'''
build_grouped_mask :: int -> int -> Term
returns the unique int m of length n that matches the following RE
((0{0,k} 1{k}) | (1{0,k})) (0{k} 1{k})*
'''
m = 0
for i in range(k):
m |= 1 << i
c = 2*k
while c < n:
m |= m << c
c *= 2
return solver.TheoryConst(solver.BitVec(n), m)
def _is_power_of_2(x : int) -> bool:
return x & (x - 1) == 0
def _floor_log2(x : int) -> int:
return x.bit_length() - 1
def _prev_power_of_2(x : int) -> int:
return 1 << _floor_log2(x - 1)
def _next_power_of_2(x : int) -> int:
return 1 << x.bit_length()
constraints = []
vs = [vars[n, v] for n in cgra.all_nodes if node_filter(n) for v in design.values]
width = len(vs)
# build a bitvector from the concanation of bits
bv = vars.anonymous_var(solver.BitVec(width))
for idx,v in enumerate(vs):
constraints.append(bv[idx] == v)
# Boolector can't handle lshr on non power of 2, so zero extend
if solver.solver_name == 'Boolector' and not _is_power_of_2(width):
l = _next_power_of_2(width)
bv = solver.Concat(solver.TheoryConst(solver.BitVec(l - width), 0), bv)
width = bv.sort.width
pop_count = vars.init_var(node_filter, bv.sort)
if width <= 1:
constraints.append(pop_count == bv)
return solver.And(constraints)
elif width == 2:
constraints.append(pop_count == (bv & 1) + (bv >> 1))
return solver.And(constraints)
max_shift = _prev_power_of_2(width)
def _mask_shift_add(x, shift):
mask = _build_grouped_mask(shift, width)
return (x & mask) + ((x >> shift) & mask)
shifts = it.takewhile(lambda n : n <= max_shift, (1 << i for i in it.count()))
x = ft.reduce(_mask_shift_add, shifts, bv)
constraints.append(pop_count == x)
return solver.And(constraints)
def _is_one_hot(var : Term, solver : Solver) -> Term:
return solver.And(_is_one_hot_or_0(var, solver), var != solver.TheoryConst(var.sort, 0))