def fpmultiplier_estimate_energy(self, interface):
this_dir, this_filename = os.path.split(__file__)
action_name = interface['action_name']
if action_name == 'mult_gated':
interface[
'action_name'] = 'idle' # reflect gated multiplier energy
nbit_exponent = interface['attributes']['exponent']
nbit_mantissa = interface['attributes']['mantissa']
nbit = nbit_mantissa + nbit_exponent
if nbit_exponent + nbit_mantissa <= 32:
csv_nbit = 32
csv_file_path = os.path.join(this_dir, 'data/fp_sp_multiplier.csv')
else:
csv_nbit = 64
csv_file_path = os.path.join(this_dir, 'data/fp_dp_multiplier.csv')
energy = AladdinTable.query_csv_using_latency(interface, csv_file_path)
if not nbit == csv_nbit:
energy = oneD_quadratic_interpolation(nbit, [{
'x': 0,
'y': 0
}, {
'x': csv_nbit,
'y': energy
}])
if action_name == 'mult_reused':
energy = 0.85 * energy
return energy
def intmultiplier_estimate_energy(self, interface):
this_dir, this_filename = os.path.split(__file__)
nbit = interface['attributes']['datawidth']
action_name = interface['action_name']
if action_name == 'mult_gated':
interface[
'action_name'] = 'idle' # reflect gated multiplier energy
csv_nbit = 32
csv_file_path = os.path.join(this_dir, 'data/multiplier.csv')
energy = AladdinTable.query_csv_using_latency(interface, csv_file_path)
if not nbit == csv_nbit:
energy = oneD_quadratic_interpolation(nbit, [{
'x': 0,
'y': 0
}, {
'x': csv_nbit,
'y': energy
}])
if action_name == 'mult_reused':
energy = 0.85 * energy
if 'type' in interface['attributes'].keys() and \
interface['attributes']['type'] == 'fft':
print('DEBUGGING: using fft type')
energy = energy * 3
return energy
def intmultiplier_estimate_area(self, interface):
this_dir, this_filename = os.path.split(__file__)
nbit = interface['attributes']['datawidth']
csv_nbit = 32
csv_file_path = os.path.join(this_dir, 'data/multiplier.csv')
area = AladdinAreaQueires.query_csv_area_using_latency(
interface, csv_file_path)
if not nbit == csv_nbit:
area = oneD_quadratic_interpolation(nbit, [{
'x': 0,
'y': 0
}, {
'x': csv_nbit,
'y': area
}])
return area
def test_oneD_quad_interpolation(self):
""" quadratic interpolation on one hardware attribute """
# Rough estimation of simple array multiplier: E_mult = E_full_adder * bitwidth^2 + E_misc
E_full_adder = 4
E_misc = 2
bitwidth_0 = 32
bitwidth_1 = 8
energy_0 = E_full_adder * bitwidth_0**2 + E_misc
energy_1 = E_full_adder * bitwidth_1**2 + E_misc
bitwidth_desired = 16
# expected output
energy_desired = E_full_adder * bitwidth_desired**2 + E_misc
energy_interpolated = hf.oneD_quadratic_interpolation(bitwidth_desired,[{'x':bitwidth_0, 'y': energy_0},
{'x':bitwidth_1, 'y':energy_1}])
self.assertEqual(energy_interpolated, energy_desired)
def fpmultiplier_estimate_area(self, interface):
this_dir, this_filename = os.path.split(__file__)
nbit_exponent = interface['attributes']['exponent']
nbit_mantissa = interface['attributes']['mantissa']
nbit = nbit_mantissa + nbit_exponent
if nbit_exponent + nbit_mantissa <= 32:
csv_nbit = 32
csv_file_path = os.path.join(this_dir, 'data/fp_sp_multiplier.csv')
else:
csv_nbit = 64
csv_file_path = os.path.join(this_dir, 'data/fp_dp_multiplier.csv')
area = AladdinAreaQueires.query_csv_area_using_latency(
interface, csv_file_path)
if not nbit == csv_nbit:
area = oneD_quadratic_interpolation(nbit, [{
'x': 0,
'y': 0
}, {
'x': csv_nbit,
'y': area
}])
return area
