def get_db(spec_file, intent, interp_method='spline', sim_env='tt'):
# initialize transistor database from simulation data
mos_db = MOSDBDiscrete([spec_file], interp_method=interp_method)
# set process corners
mos_db.env_list = [sim_env]
# set layout parameters
mos_db.set_dsn_params(intent=intent)
return mos_db
def get_db(mos_type, dsn_specs):
mos_specs = dsn_specs[mos_type]
spec_file = mos_specs['spec_file']
interp_method = mos_specs.get('interp_method', 'spline')
sim_env = mos_specs.get('sim_env', 'tt')
layout_kwargs = mos_specs['layout_kwargs']
db = MOSDBDiscrete([spec_file], interp_method=interp_method)
db.env_list = [sim_env]
db.set_dsn_params(**layout_kwargs)
return db
def design(amp_dsn_specs, amp_char_specs_fname, amp_char_specs_out_fname):
nch_config = amp_dsn_specs['nch_config']
pch_config = amp_dsn_specs['pch_config']
print('create transistor database')
nch_db = MOSDBDiscrete([nch_config])
pch_db = MOSDBDiscrete([pch_config])
nch_db.set_dsn_params(**amp_dsn_specs['nch'])
pch_db.set_dsn_params(**amp_dsn_specs['pch'])
result = design_amp(amp_dsn_specs, nch_db, pch_db)
if result is None:
raise ValueError('No solution.')
pprint.pprint(result)
# update characterization spec file
amp_char_specs = read_yaml(amp_char_specs_fname)
# update bias
var_dict = amp_char_specs['measurements'][0]['testbenches']['ac'][
'sim_vars']
for key in ('vtail', 'vindc', 'voutdc'):
var_dict[key] = result[key]
for key in ('vdd', 'cload'):
var_dict[key] = amp_dsn_specs[key]
# update segments
seg_dict = amp_char_specs['layout_params']['seg_dict']
for key in ('in', 'load', 'tail'):
seg_dict[key] = result['seg_' + key]
with open_file(amp_char_specs_out_fname, 'w') as f:
yaml.dump(amp_char_specs, f)
return result
def design_only():
interp_method = 'spline'
nch_conf_list = [
'data/nch_w4_stack/specs.yaml',
]
pch_conf_list = [
'data/pch_w4_stack/specs.yaml',
]
amp_specs_fname = 'specs_design/opamp_two_stage_1e8.yaml'
print('create transistor database')
nch_db = MOSDBDiscrete(nch_conf_list, interp_method=interp_method)
pch_db = MOSDBDiscrete(pch_conf_list, interp_method=interp_method)
top_specs = read_yaml(amp_specs_fname)
design(top_specs, nch_db, pch_db)
def get_db(nch_dir,
pch_dir,
intent='standard',
interp_method='spline',
sim_env='tt'):
env_list = [sim_env]
nch_db = MOSDBDiscrete([nch_dir], interp_method=interp_method)
pch_db = MOSDBDiscrete([pch_dir], interp_method=interp_method)
nch_db.env_list = pch_db.env_list = env_list
nch_db.set_dsn_params(intent=intent)
pch_db.set_dsn_params(intent=intent)
return nch_db, pch_db
def query(vgs=None, vds=None, vbs=0.0, vstar=None, env_list=None):
"""Get interpolation function and plot/query."""
spec_list = [spec_file]
if env_list is None:
env_list = [env_default]
# initialize transistor database from simulation data
nch_db = MOSDBDiscrete(spec_list, interp_method=interp_method)
# set process corners
nch_db.env_list = env_list
# set layout parameters
nch_db.set_dsn_params(intent=intent)
# returns a dictionary of smal-signal parameters
return nch_db.query(vbs=vbs, vds=vds, vgs=vgs, vstar=vstar)
def design_close_loop(prj, funity_min_first=None, max_iter=100):
interp_method = 'spline'
nch_conf_list = [
'data/nch_w4_stack/specs.yaml',
]
pch_conf_list = [
'data/pch_w4_stack/specs.yaml',
]
amp_specs_fname = 'specs_design/opamp_two_stage_1e8.yaml'
ver_specs_fname = 'specs_verification/opamp_two_stage_1e8.yaml'
iter_cnt = 0
f_unit_min_sim = -1
k_max = 2.0
k_min = 1.1
print('create transistor database')
nch_db = MOSDBDiscrete(nch_conf_list, interp_method=interp_method)
pch_db = MOSDBDiscrete(pch_conf_list, interp_method=interp_method)
top_specs = read_yaml(amp_specs_fname)
funity_dsn_targ = funity_targ = top_specs['dsn_specs']['f_unit']
sim, dsn_info = None, None
summary = None
while f_unit_min_sim < funity_targ and iter_cnt < max_iter:
print('Iteration %d, f_unit_dsn_targ = %.4g' %
(iter_cnt, funity_dsn_targ))
top_specs['dsn_specs']['f_unit'] = funity_dsn_targ
if dsn_info is not None:
top_specs['dsn_specs']['i1_min_size'] = dsn_info['i1_size']
if funity_min_first is not None and iter_cnt == 0:
generate = False
f_unit_min_dsn = funity_min_first
else:
generate = True
dsn = design(top_specs, nch_db, pch_db)
dsn_info = dsn.get_dsn_info()
f_unit_min_dsn = min(dsn_info['f_unit'])
ver_specs = dsn.get_specs_verification(top_specs)
with open_file(ver_specs_fname, 'w') as f:
yaml.dump(ver_specs, f)
sim = DesignManager(prj, ver_specs_fname)
sim.characterize_designs(generate=generate,
measure=True,
load_from_file=False)
dsn_name = list(sim.get_dsn_name_iter())[0]
summary = sim.get_result(dsn_name)['opamp_ac']
funity_list = summary['funity']
print('Iteration %d, result:' % iter_cnt)
pprint.pprint(summary)
f_unit_min_sim = min(funity_list)
k = funity_targ / f_unit_min_sim
k_real = max(k_min, min(k, k_max))
print('k = %.4g, k_real = %.4g' % (k, k_real))
funity_dsn_targ = f_unit_min_dsn * k_real
iter_cnt += 1
print('close loop design done. Final result:')
pprint.pprint(summary)
return dsn_info
def plot_data(name='ibias', bounds=None, unit_val=None, unit_label=None):
"""Get interpolation function and plot/query."""
env_list = [env_default]
vbs = 0.0
nvds = 41
nvgs = 81
spec_list = [spec_file]
print('create transistor database')
nch_db = MOSDBDiscrete(spec_list, interp_method=interp_method)
nch_db.env_list = env_list
nch_db.set_dsn_params(intent=intent)
f = nch_db.get_function(name)
vds_min, vds_max = f.get_input_range(1)
vgs_min, vgs_max = f.get_input_range(2)
if bounds is not None:
if 'vgs' in bounds:
v0, v1 = bounds['vgs']
if v0 is not None:
vgs_min = max(vgs_min, v0)
if v1 is not None:
vgs_max = min(vgs_max, v1)
if 'vds' in bounds:
v0, v1 = bounds['vds']
if v0 is not None:
vds_min = max(vds_min, v0)
if v1 is not None:
vds_max = min(vds_max, v1)
# query values.
vds_test = (vds_min + vds_max) / 2
vgs_test = (vgs_min + vgs_max) / 2
pprint.pprint(nch_db.query(vbs=vbs, vds=vds_test, vgs=vgs_test))
vbs_vec = [vbs]
vds_vec = np.linspace(vds_min, vds_max, nvds, endpoint=True)
vgs_vec = np.linspace(vgs_min, vgs_max, nvgs, endpoint=True)
vbs_mat, vds_mat, vgs_mat = np.meshgrid(vbs_vec, vds_vec, vgs_vec, indexing='ij', copy=False)
arg = np.stack((vbs_mat, vds_mat, vgs_mat), axis=-1)
ans = f(arg)
vds_mat = vds_mat.reshape((nvds, nvgs))
vgs_mat = vgs_mat.reshape((nvds, nvgs))
ans = ans.reshape((nvds, nvgs, len(env_list)))
formatter = ticker.ScalarFormatter(useMathText=True)
formatter.set_scientific(True)
formatter.set_powerlimits((-2, 3))
if unit_label is not None:
zlabel = '%s (%s)' % (name, unit_label)
else:
zlabel = name
for idx, env in enumerate(env_list):
fig = plt.figure(idx + 1)
ax = fig.add_subplot(111, projection='3d')
cur_val = ans[..., idx]
if unit_val is not None:
cur_val = cur_val / unit_val
ax.plot_surface(vds_mat, vgs_mat, cur_val, rstride=1, cstride=1, linewidth=0, cmap=cm.cubehelix)
ax.set_title('%s (corner=%s)' % (name, env))
ax.set_xlabel('Vds (V)')
ax.set_ylabel('Vgs (V)')
ax.set_zlabel(zlabel)
ax.w_zaxis.set_major_formatter(formatter)
plt.show()