def main():
futures = []
for i in IndexLaunch(10):
futures.append(hi(i))
for i, future in enumerate(futures):
print("got %s" % future.get())
assert int(future.get()) == i
# Same in 2 dimensions.
futures = []
for point in IndexLaunch([3, 3]):
futures.append(hi(point))
for i, point in enumerate(Domain([3, 3])):
assert futures[i].get() == point
R = Region([4, 4], {'x': legion.float64})
P = Partition.equal(R, [2, 2])
legion.fill(R, 'x', 0)
for i in IndexLaunch([2, 2]):
hello(R, i)
for i in IndexLaunch([2, 2]):
hello(P[i], i)
# Again, with a more explicit syntax.
# ID is the name of the (implicit) loop variable.
futures = index_launch([3, 3], hi, ID)
for point in Domain([3, 3]):
assert futures[point].get() == point
index_launch([2, 2], hello, R, ID)
index_launch([2, 2], hello, P[ID], ID)
def main():
some_task(mapper=0, tag=0)
for i in IndexLaunch([2], mapper=0, tag=0):
some_task()
index_launch([2], some_task, mapper=0, tag=0)
def execute_timestep(graph, num_fields, timestep, result, primary, secondary,
scratch, p_scratch, dset_max_args):
fin = timestep % num_fields
offset = c.task_graph_offset_at_timestep(graph, timestep)
width = c.task_graph_width_at_timestep(graph, timestep)
dset = c.task_graph_dependence_set_at_timestep(graph, timestep)
colors = Domain([width], [offset])
num_args = dset_max_args[dset]
if scratch is None:
point_task = execute_point_tasks[fin][num_args]
else:
point_task = execute_point_tasks_scratch[fin][num_args]
point_task_args = [
graph if use_native else encode_task_graph(graph),
num_fields,
timestep,
0 if use_native else ID,
primary[ID],
]
if scratch is not None:
point_task_args.append(p_scratch[ID])
elif not use_native:
point_task_args.append(None)
point_task_args.extend(secondary[dset][arg][ID] for arg in range(num_args))
index_launch(colors, point_task, *point_task_args)
def main():
global global_var
global_procs = legion.Tunable.select(legion.Tunable.GLOBAL_PYS).get()
with legion.MustEpochLaunch(): # implicit launch domain
for i in range(global_procs):
hi(i, point=i)
legion.execution_fence(block=True)
assert global_var == 4123
global_var = 456
with legion.MustEpochLaunch([global_procs]):
for i in range(global_procs):
hi(i, point=i)
legion.execution_fence(block=True)
assert global_var == 4456
global_var = 789
with legion.MustEpochLaunch([global_procs]):
legion.index_launch([global_procs], hi, ID)
legion.execution_fence(block=True)
assert global_var == 4789
def load_run_data(run):
det = run.Detector('pnccd')
# Hack: psana tries to register top-level task when not in script mode
old_is_script = legion.is_script
legion.is_script = True
f = run.analyze(event_fn=load_event_data, det=det)
legion.is_script = old_is_script
n_procs = Tunable.select(Tunable.GLOBAL_PYS).get()
with MustEpochLaunch([n_procs]):
index_launch([n_procs], mark_completion, f)
def main():
R = legion.Region([4], {'x': legion.float64})
P = legion.Partition.equal(R, [4])
legion.fill(R, 'x', 0)
hello2(P[0], 0)
for i in legion.IndexLaunch([4]):
hello2(P[i], i)
legion.index_launch([4], hello2, P[ID], ID)
# FIXME: This is needed in nopaint to avoid a race with region deletion
legion.execution_fence()
def init_partitions(graphs, num_fields):
result = []
primary = []
secondary = []
scratch = []
p_scratch = []
dset_max_args = []
fspace = Fspace(dict((str(x), legion.uint8) for x in range(num_fields)))
for graph in graphs:
colors = Ispace([graph.max_width])
result.append(
Region([graph.max_width * graph.output_bytes_per_task], fspace))
primary.append(Partition.equal(result[-1], colors))
for field in fspace.keys():
legion.fill(result[-1], field, 0)
num_dsets = c.task_graph_max_dependence_sets(graph)
secondary.append([])
dset_max_args.append([])
for dset in range(num_dsets):
secondary[-1].append([])
num_args = 0
for arg in range(max_args):
secondary[-1][-1].append(Partition.pending(result[-1], colors))
for point in range(graph.max_width):
deps = list(task_graph_dependencies(graph, dset, point))
num_args = max(num_args, len(deps))
secondary[-1][-1][-1].union(
[point],
[primary[-1][deps[arg]]] if arg < len(deps) else [])
dset_max_args[-1].append(num_args)
if graph.scratch_bytes_per_task > 0:
scratch.append(
Region([graph.max_width * graph.scratch_bytes_per_task],
fspace))
p_scratch.append(Partition.equal(scratch[-1], colors))
index_launch(colors, init_scratch_task, p_scratch[-1][ID])
else:
scratch.append(None)
p_scratch.append(None)
return result, primary, secondary, scratch, p_scratch, dset_max_args
def main():
R = Region([4, 4], {'x': legion.float64})
P = Partition.equal(R, [2, 2])
legion.fill(R, 'x', 0)
trace1 = Trace()
for t in range(5):
with trace1:
for i in IndexLaunch([2, 2]):
look(R, i)
for i in IndexLaunch([2, 2]):
incr(P[i], i)
trace2 = Trace()
for t in range(5):
with trace2:
index_launch([2, 2], look, R, ID)
index_launch([2, 2], incr, P[ID], ID)
def main():
R = legion.Region.create([4, 4], {'x': legion.float64})
P = legion.Partition.create_equal(R, [2, 2])
legion.fill(R, 'x', 0)
trace1 = legion.Trace()
for t in range(5):
with trace1:
for i in legion.IndexLaunch([2, 2]):
look(R, i)
for i in legion.IndexLaunch([2, 2]):
incr(P[i], i)
trace2 = legion.Trace()
for t in range(5):
with trace2:
legion.index_launch([2, 2], look, R, ID)
legion.index_launch([2, 2], incr, P[ID], ID)
def main():
print_once('Running stencil.py')
conf = parse_args(legion.input_args(True))
nbloated = np.array([conf.nx, conf.ny])
nt = np.array([conf.ntx, conf.nty])
init = conf.init
n = nbloated - 2*RADIUS
assert np.all(n >= nt), "grid too small"
grid = Ispace(n + nt*2*RADIUS)
tiles = Ispace(nt)
point = Fspace(OrderedDict([
('input', DTYPE),
('output', DTYPE),
]))
points = Region(grid, point)
private = make_private_partition(points, tiles, n, nt)
interior = make_interior_partition(points, tiles, n, nt)
exterior = make_exterior_partition(points, tiles, n, nt)
xm = Region([nt[0]*RADIUS, n[1]], point)
xp = Region([nt[0]*RADIUS, n[1]], point)
ym = Region([n[0], nt[1]*RADIUS], point)
yp = Region([n[0], nt[1]*RADIUS], point)
pxm_in = make_ghost_x_partition(xm, tiles, n, nt, -1)
pxp_in = make_ghost_x_partition(xp, tiles, n, nt, 1)
pym_in = make_ghost_y_partition(ym, tiles, n, nt, -1)
pyp_in = make_ghost_y_partition(yp, tiles, n, nt, 1)
pxm_out = make_ghost_x_partition(xm, tiles, n, nt, 0)
pxp_out = make_ghost_x_partition(xp, tiles, n, nt, 0)
pym_out = make_ghost_y_partition(ym, tiles, n, nt, 0)
pyp_out = make_ghost_y_partition(yp, tiles, n, nt, 0)
init = conf.init
for r in [points, xm, xp, ym, yp]:
for f in ['input', 'output']:
legion.fill(r, f, init)
tsteps = conf.tsteps + 2 * conf.tprune
tprune = conf.tprune
trace = Trace()
for t in range(tsteps):
if t == tprune:
legion.execution_fence(block=True)
start_time = legion.c.legion_get_current_time_in_nanos()
with trace:
if _constant_time_launches:
index_launch(tiles, stencil, private[ID], interior[ID], pxm_in[ID], pxp_in[ID], pym_in[ID], pyp_in[ID], False)
index_launch(tiles, increment, private[ID], exterior[ID], pxm_out[ID], pxp_out[ID], pym_out[ID], pyp_out[ID], False)
else:
for i in IndexLaunch(tiles):
stencil(private[i], interior[i], pxm_in[i], pxp_in[i], pym_in[i], pyp_in[i], False)
for i in IndexLaunch(tiles):
increment(private[i], exterior[i], pxm_out[i], pxp_out[i], pym_out[i], pyp_out[i], False)
if t == tsteps - tprune - 1:
legion.execution_fence(block=True)
stop_time = legion.c.legion_get_current_time_in_nanos()
if _constant_time_launches:
index_launch(tiles, check, private[ID], interior[ID], tsteps, init)
else:
for i in IndexLaunch(tiles):
check(private[i], interior[i], tsteps, init)
print_once('ELAPSED TIME = %7.3f s' % ((stop_time - start_time)/1e9))
def main():
print_once('Running pennant.py')
conf = read_config().get()
zone = Fspace(
OrderedDict([
('zxp_x', legion.float64),
('zxp_y', legion.float64),
('zx_x', legion.float64),
('zx_y', legion.float64),
('zareap', legion.float64),
('zarea', legion.float64),
('zvol0', legion.float64),
('zvolp', legion.float64),
('zvol', legion.float64),
('zdl', legion.float64),
('zm', legion.float64),
('zrp', legion.float64),
('zr', legion.float64),
('ze', legion.float64),
('zetot', legion.float64),
('zw', legion.float64),
('zwrate', legion.float64),
('zp', legion.float64),
('zss', legion.float64),
('zdu', legion.float64),
('zuc_x', legion.float64),
('zuc_y', legion.float64),
('z0tmp', legion.float64),
('znump', legion.uint8),
]))
point = Fspace(
OrderedDict([
('px0_x', legion.float64),
('px0_y', legion.float64),
('pxp_x', legion.float64),
('pxp_y', legion.float64),
('px_x', legion.float64),
('px_y', legion.float64),
('pu0_x', legion.float64),
('pu0_y', legion.float64),
('pu_x', legion.float64),
('pu_y', legion.float64),
('pap_x', legion.float64),
('pap_y', legion.float64),
('pf_x', legion.float64),
('pf_y', legion.float64),
('pmaswt', legion.float64),
('has_bcx', legion.bool_),
('has_bcy', legion.bool_),
]))
side = Fspace(
OrderedDict([
('mapsz', legion.int1d),
('mapsp1', legion.int1d),
('mapsp1_r', legion.uint8),
('mapsp2', legion.int1d),
('mapsp2_r', legion.uint8),
('mapss3', legion.int1d),
('mapss4', legion.int1d),
('sareap', legion.float64),
('sarea', legion.float64),
('svolp', legion.float64),
('svol', legion.float64),
('ssurfp_x', legion.float64),
('ssurfp_y', legion.float64),
('smf', legion.float64),
('sfp_x', legion.float64),
('sfp_y', legion.float64),
('sft_x', legion.float64),
('sft_y', legion.float64),
('sfq_x', legion.float64),
('sfq_y', legion.float64),
('exp_x', legion.float64),
('exp_y', legion.float64),
('ex_x', legion.float64),
('ex_y', legion.float64),
('elen', legion.float64),
('carea', legion.float64),
('cevol', legion.float64),
('cdu', legion.float64),
('cdiv', legion.float64),
('ccos', legion.float64),
('cqe1_x', legion.float64),
('cqe1_y', legion.float64),
('cqe2_x', legion.float64),
('cqe2_y', legion.float64),
]))
zones = Region([conf.nz], zone)
points = Region([conf.np], point)
sides = Region([conf.ns], side)
assert conf.seq_init or conf.par_init, 'enable one of sequential or parallel initialization'
if conf.seq_init:
colorings = read_input_sequential(zones, points, sides, conf).get()
assert conf.par_init
partitions = read_partitions(zones, points, sides, conf).get()
pieces = Ispace([conf.npieces])
zones_part = create_partition(True, zones, partitions.rz_all_p, pieces)
points_part = create_partition(True, points, partitions.rp_all_p, [2])
private = points_part[0]
ghost = points_part[1]
private_part = create_partition(True, private, partitions.rp_all_private_p,
pieces)
ghost_part = create_partition(False, ghost, partitions.rp_all_ghost_p,
pieces)
shared_part = create_partition(True, ghost, partitions.rp_all_shared_p,
pieces)
sides_part = create_partition(True, sides, partitions.rs_all_p, pieces)
if conf.par_init:
if _constant_time_launches:
c = Future(conf, value_type=config)
index_launch(pieces, initialize_topology, c, ID, zones_part[ID],
private_part[ID], shared_part[ID], ghost_part[ID],
sides_part[ID])
else:
for i in IndexLaunch(pieces):
initialize_topology(conf, i, zones_part[i], private_part[i],
shared_part[i], ghost_part[i],
sides_part[i])
if _constant_time_launches:
index_launch(pieces, init_pointers, zones_part[ID], private_part[ID],
ghost_part[ID], sides_part[ID])
index_launch(pieces, init_mesh_zones, zones_part[ID])
index_launch(pieces, calc_centers_full, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID], True)
index_launch(pieces, calc_volumes_full, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID], True)
index_launch(pieces, init_side_fracs, zones_part[ID], private_part[ID],
ghost_part[ID], sides_part[ID])
index_launch(pieces, init_hydro, zones_part[ID], conf.rinit,
conf.einit, conf.rinitsub, conf.einitsub,
conf.subregion[0], conf.subregion[1], conf.subregion[2],
conf.subregion[3])
index_launch(pieces, init_radial_velocity, private_part[ID],
conf.uinitradial)
index_launch(pieces, init_radial_velocity, shared_part[ID],
conf.uinitradial)
else:
for i in IndexLaunch(pieces):
init_pointers(zones_part[i], private_part[i], ghost_part[i],
sides_part[i])
for i in IndexLaunch(pieces):
init_mesh_zones(zones_part[i])
for i in IndexLaunch(pieces):
calc_centers_full(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
calc_volumes_full(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
init_side_fracs(zones_part[i], private_part[i], ghost_part[i],
sides_part[i])
for i in IndexLaunch(pieces):
init_hydro(zones_part[i], conf.rinit, conf.einit, conf.rinitsub,
conf.einitsub, conf.subregion[0], conf.subregion[1],
conf.subregion[2], conf.subregion[3])
for i in IndexLaunch(pieces):
init_radial_velocity(private_part[i], conf.uinitradial)
for i in IndexLaunch(pieces):
init_radial_velocity(shared_part[i], conf.uinitradial)
cycle = 0
cstop = conf.cstop + 2 * conf.prune
time = 0.0
dt = Future(conf.dtmax, legion.float64)
dthydro = conf.dtmax
while cycle < cstop and time < conf.tstop:
if cycle == conf.prune:
legion.execution_fence(block=True)
start_time = legion.c.legion_get_current_time_in_nanos()
if _constant_time_launches:
index_launch(pieces, init_step_points, private_part[ID], True)
index_launch(pieces, init_step_points, shared_part[ID], True)
index_launch(pieces, init_step_zones, zones_part[ID], True)
dt = calc_global_dt(dt, conf.dtfac, conf.dtinit, conf.dtmax,
dthydro, time, conf.tstop, cycle)
index_launch(pieces, adv_pos_half, private_part[ID], dt, True)
index_launch(pieces, adv_pos_half, shared_part[ID], dt, True)
index_launch(pieces, calc_centers, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, calc_volumes, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, calc_char_len, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, calc_rho_half, zones_part[ID], True)
index_launch(pieces, sum_point_mass, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, calc_state_at_half, zones_part[ID],
conf.gamma, conf.ssmin, dt, True)
index_launch(pieces, calc_force_pgas_tts, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
conf.alfa, conf.ssmin, True)
index_launch(pieces, qcs_zone_center_velocity, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, qcs_corner_divergence, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, qcs_qcn_force, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
conf.gamma, conf.q1, conf.q2, True)
index_launch(pieces, qcs_force, zones_part[ID], private_part[ID],
ghost_part[ID], sides_part[ID], True)
index_launch(pieces, qcs_vel_diff, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
conf.q1, conf.q2, True)
index_launch(pieces, sum_point_force, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, apply_boundary_conditions, private_part[ID],
True)
index_launch(pieces, apply_boundary_conditions, shared_part[ID],
True)
index_launch(pieces, adv_pos_full, private_part[ID], dt, True)
index_launch(pieces, adv_pos_full, shared_part[ID], dt, True)
index_launch(pieces, calc_centers_full, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, calc_volumes_full, zones_part[ID],
private_part[ID], ghost_part[ID], sides_part[ID],
True)
index_launch(pieces, calc_work, zones_part[ID], private_part[ID],
ghost_part[ID], sides_part[ID], dt, True)
index_launch(pieces, calc_work_rate_energy_rho_full,
zones_part[ID], dt, True)
future = index_launch(pieces,
calc_dt_hydro,
zones_part[ID],
dt,
conf.dtmax,
conf.cfl,
conf.cflv,
True,
reduce='min')
dthydro = conf.dtmax
dthydro = min_task(dthydro, future)
else:
for i in IndexLaunch(pieces):
init_step_points(private_part[i], True)
for i in IndexLaunch(pieces):
init_step_points(shared_part[i], True)
for i in IndexLaunch(pieces):
init_step_zones(zones_part[i], True)
dt = calc_global_dt(dt, conf.dtfac, conf.dtinit, conf.dtmax,
dthydro, time, conf.tstop, cycle)
for i in IndexLaunch(pieces):
adv_pos_half(private_part[i], dt, True)
for i in IndexLaunch(pieces):
adv_pos_half(shared_part[i], dt, True)
for i in IndexLaunch(pieces):
calc_centers(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
calc_volumes(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
calc_char_len(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
calc_rho_half(zones_part[i], True)
for i in IndexLaunch(pieces):
sum_point_mass(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
calc_state_at_half(zones_part[i], conf.gamma, conf.ssmin, dt,
True)
for i in IndexLaunch(pieces):
calc_force_pgas_tts(zones_part[i], private_part[i],
ghost_part[i], sides_part[i], conf.alfa,
conf.ssmin, True)
for i in IndexLaunch(pieces):
qcs_zone_center_velocity(zones_part[i], private_part[i],
ghost_part[i], sides_part[i], True)
for i in IndexLaunch(pieces):
qcs_corner_divergence(zones_part[i], private_part[i],
ghost_part[i], sides_part[i], True)
for i in IndexLaunch(pieces):
qcs_qcn_force(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], conf.gamma, conf.q1, conf.q2,
True)
for i in IndexLaunch(pieces):
qcs_force(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
qcs_vel_diff(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], conf.q1, conf.q2, True)
for i in IndexLaunch(pieces):
sum_point_force(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], True)
for i in IndexLaunch(pieces):
apply_boundary_conditions(private_part[i], True)
for i in IndexLaunch(pieces):
apply_boundary_conditions(shared_part[i], True)
for i in IndexLaunch(pieces):
adv_pos_full(private_part[i], dt, True)
for i in IndexLaunch(pieces):
adv_pos_full(shared_part[i], dt, True)
for i in IndexLaunch(pieces):
calc_centers_full(zones_part[i], private_part[i],
ghost_part[i], sides_part[i], True)
for i in IndexLaunch(pieces):
calc_volumes_full(zones_part[i], private_part[i],
ghost_part[i], sides_part[i], True)
for i in IndexLaunch(pieces):
calc_work(zones_part[i], private_part[i], ghost_part[i],
sides_part[i], dt, True)
for i in IndexLaunch(pieces):
calc_work_rate_energy_rho_full(zones_part[i], dt, True)
futures = []
for i in IndexLaunch(pieces):
futures.append(
calc_dt_hydro(zones_part[i], dt, conf.dtmax, conf.cfl,
conf.cflv, True))
dthydro = conf.dtmax
dthydro = min(dthydro, *list(map(lambda x: x.get(), futures)))
cycle += 1
time += dt.get()
if cycle == cstop - conf.prune:
legion.execution_fence(block=True)
stop_time = legion.c.legion_get_current_time_in_nanos()
if conf.seq_init:
validate_output_sequential(zones, points, sides, conf)
else:
print_once("Warning: Skipping sequential validation")
print_once("ELAPSED TIME = %7.3f s" % ((stop_time - start_time) / 1e9))
def main():
print_once('Running circuit_sparse.py')
conf = parse_args(legion.input_args(True))
assert conf.num_pieces % conf.pieces_per_superpiece == 0, "pieces should be evenly distributed to superpieces"
conf.shared_nodes_per_piece = int(
math.ceil(conf.nodes_per_piece * conf.pct_shared_nodes / 100.0))
print_once(
"circuit settings: loops=%d prune=%d pieces=%d (pieces/superpiece=%d) nodes/piece=%d (nodes/piece=%d) wires/piece=%d pct_in_piece=%d seed=%d"
% (conf.num_loops, conf.prune, conf.num_pieces,
conf.pieces_per_superpiece, conf.nodes_per_piece,
conf.shared_nodes_per_piece, conf.wires_per_piece,
conf.pct_wire_in_piece, conf.random_seed))
num_pieces = conf.num_pieces
num_superpieces = conf.num_pieces // conf.pieces_per_superpiece
num_circuit_nodes = num_pieces * conf.nodes_per_piece
num_circuit_wires = num_pieces * conf.wires_per_piece
node = Fspace(
OrderedDict([
('node_cap', legion.float32),
('leakage', legion.float32),
('charge', legion.float32),
('node_voltage', legion.float32),
]))
wire = Fspace(
OrderedDict([
('in_ptr', legion.int64),
('in_ptr_r', legion.uint8),
('out_ptr', legion.int64),
('out_ptr_r', legion.uint8),
('inductance', legion.float32),
('resistance', legion.float32),
('wire_cap', legion.float32),
] + [('current_%d' % i, legion.float32)
for i in range(WIRE_SEGMENTS)] +
[('voltage_%d' % i, legion.float32)
for i in range(WIRE_SEGMENTS - 1)]))
all_nodes = Region([num_circuit_nodes], node)
all_wires = Region([num_circuit_wires], wire)
node_size = np.dtype(list(
map(lambda x: (x[0], x[1].numpy_type), node.field_types.items())),
align=True).itemsize
wire_size = np.dtype(list(
map(lambda x: (x[0], x[1].numpy_type), wire.field_types.items())),
align=True).itemsize
print_once("Circuit memory usage:")
print_once(" Nodes : %10d * %4d bytes = %12d bytes" %
(num_circuit_nodes, node_size, num_circuit_nodes * node_size))
print_once(" Wires : %10d * %4d bytes = %12d bytes" %
(num_circuit_wires, wire_size, num_circuit_wires * wire_size))
total = ((num_circuit_nodes * node_size) + (num_circuit_wires * wire_size))
print_once(" Total %12d bytes" % total)
snpp = conf.shared_nodes_per_piece
pnpp = conf.nodes_per_piece - conf.shared_nodes_per_piece
pps = conf.pieces_per_superpiece
num_shared_nodes = num_pieces * snpp
privacy_coloring = Region([2], {'rect': legion.rect1d})
np.copyto(privacy_coloring.rect,
np.array([(num_shared_nodes, num_circuit_nodes - 1),
(0, num_shared_nodes - 1)],
dtype=privacy_coloring.rect.dtype),
casting='no')
privacy_part = Partition.restrict(privacy_coloring, [2], np.eye(1), [1],
disjoint_complete)
all_nodes_part = Partition.image(all_nodes, privacy_part, 'rect', [2],
disjoint_complete)
all_private = all_nodes_part[0]
all_shared = all_nodes_part[1]
launch_domain = Ispace([num_superpieces])
private_part = Partition.restrict(all_private, launch_domain,
np.eye(1) * pnpp * pps,
Domain([pnpp * pps], [num_shared_nodes]),
disjoint_complete)
shared_part = Partition.restrict(all_shared, launch_domain,
np.eye(1) * snpp * pps, [snpp * pps],
disjoint_complete)
wires_part = Partition.equal(all_wires, launch_domain)
ghost_ranges = Region([num_superpieces],
OrderedDict([('rect', legion.rect1d)]))
ghost_ranges_part = Partition.equal(ghost_ranges, launch_domain)
if _constant_time_launches:
c = Future(conf[0], value_type=Config)
index_launch(launch_domain, init_piece, ID, c, ghost_ranges_part[ID],
private_part[ID], shared_part[ID], all_shared,
wires_part[ID])
else:
for i in IndexLaunch(launch_domain):
init_piece(i, conf[0], ghost_ranges_part[i], private_part[i],
shared_part[i], all_shared, wires_part[i])
ghost_part = Partition.image(all_shared, ghost_ranges_part, 'rect',
launch_domain)
if _constant_time_launches:
index_launch(launch_domain, init_pointers, private_part[ID],
shared_part[ID], ghost_part[ID], wires_part[ID])
else:
for i in IndexLaunch(launch_domain):
init_pointers(private_part[i], shared_part[i], ghost_part[i],
wires_part[i])
steps = conf.steps
prune = conf.prune
num_loops = conf.num_loops + 2 * prune
trace = Trace()
for j in range(num_loops):
if j == prune:
legion.execution_fence(block=True)
start_time = legion.c.legion_get_current_time_in_nanos()
with trace:
if _constant_time_launches:
index_launch(launch_domain, calculate_new_currents, False,
steps, private_part[ID], shared_part[ID],
ghost_part[ID], wires_part[ID])
index_launch(launch_domain, distribute_charge,
private_part[ID], shared_part[ID], ghost_part[ID],
wires_part[ID])
index_launch(launch_domain, update_voltages, False,
private_part[ID], shared_part[ID])
else:
for i in IndexLaunch(launch_domain):
calculate_new_currents(False, steps, private_part[i],
shared_part[i], ghost_part[i],
wires_part[i])
for i in IndexLaunch(launch_domain):
distribute_charge(private_part[i], shared_part[i],
ghost_part[i], wires_part[i])
for i in IndexLaunch(launch_domain):
update_voltages(False, private_part[i], shared_part[i])
if j == num_loops - prune - 1:
legion.execution_fence(block=True)
stop_time = legion.c.legion_get_current_time_in_nanos()
sim_time = (stop_time - start_time) / 1e9
print_once('ELAPSED TIME = %7.3f s' % sim_time)
# Compute the floating point operations per second
num_circuit_nodes = conf.num_pieces * conf.nodes_per_piece
num_circuit_wires = conf.num_pieces * conf.wires_per_piece
# calculate currents
operations = num_circuit_wires * (WIRE_SEGMENTS * 6 +
(WIRE_SEGMENTS - 1) * 4) * conf.steps
# distribute charge
operations += (num_circuit_wires * 4)
# update voltages
operations += (num_circuit_nodes * 4)
# multiply by the number of loops
operations *= conf.num_loops
# Compute the number of gflops
gflops = (1e-9 * operations) / sim_time
print_once("GFLOPS = %7.3f GFLOPS" % gflops)
def solve(n_runs):
n_procs = Tunable.select(Tunable.GLOBAL_PYS).get()
print(f"Working with {n_procs} processes\n")
# Allocate data structures.
n_events_per_node = 100
event_raw_shape = (4, 512, 512)
images = Region(
(n_events_per_node * n_procs,) + event_raw_shape, {'image': legion.float64})
orientations = Region(
(n_events_per_node * n_procs, 4), {'orientation': legion.float32})
active = Region((n_procs,), {'active': legion.uint32})
legion.fill(images, 'image', 0)
legion.fill(orientations, 'orientation', 0)
legion.fill(active, 'active', 0)
images_part = Partition.restrict(
images, [n_procs], numpy.eye(4, 1) * n_events_per_node, (n_events_per_node,) + event_raw_shape)
orient_part = Partition.restrict(
orientations, [n_procs], numpy.eye(2, 1) * n_events_per_node, (n_events_per_node, 4))
active_part = Partition.restrict(
active, [n_procs], numpy.eye(1, 1), (1,))
volume_shape = (N_POINTS,) * 3
diffraction = Region(volume_shape, {
'accumulator': legion.float32,
'weight': legion.float32})
legion.fill(diffraction, 'accumulator', 0.)
legion.fill(diffraction, 'weight', 0.)
n_reconstructions = 4
reconstructions = []
for i in range(n_reconstructions):
reconstruction = Region(volume_shape, {
'support': legion.bool_,
'rho': legion.complex64})
legion.fill(reconstruction, 'support', False)
legion.fill(reconstruction, 'rho', 0.)
reconstructions.append(reconstruction)
# Load pixel momentum
pixels = Region(event_raw_shape + (3,), {'momentum': legion.float64})
legion.fill(pixels, 'momentum', 0.)
max_pixel_dist = load_pixels(pixels).get()
voxel_length = 2 * max_pixel_dist / (N_POINTS - 1)
images_per_solve = n_events_per_node
iterations_ahead = 2
complete = False
iteration = 0
fences = []
n_events_ready = []
while not complete or iteration < 50:
if not complete:
# Obtain the newest copy of the data.
with MustEpochLaunch([n_procs]):
index_launch(
[n_procs], data_collector.fill_data_region,
images_part[ID], orient_part[ID], active_part[ID], images_per_solve)
# Preprocess data.
index_launch(
[n_procs], preprocess,
images_part[ID], orient_part[ID], active_part[ID], pixels, diffraction,
voxel_length)
# Run solver.
assert n_reconstructions == 4
hio_loop = 100
er_loop = hio_loop // 2
solve_step(diffraction, reconstructions[0], 0, iteration,
hio_loop, .1, er_loop, .14)
solve_step(diffraction, reconstructions[1], 1, iteration,
hio_loop, .05, er_loop, .14)
solve_step(diffraction, reconstructions[2], 2, iteration,
hio_loop, .1, er_loop, .16)
solve_step(diffraction, reconstructions[3], 3, iteration,
hio_loop, .05, er_loop, .16)
if not complete:
# Make sure we don't run more than N iterations ahead.
fences.append(legion.execution_fence(future=True))
if iteration - iterations_ahead >= 0:
fences[iteration - iterations_ahead].get()
# Check that all runs have been read and that all events have been consumed.
if data_collector.get_num_runs_complete() == n_runs:
n_events_ready.append(index_launch([n_procs], data_collector.get_num_events_ready, active_part[ID], reduce='+'))
if iteration - iterations_ahead >= 0:
ready = n_events_ready[iteration - iterations_ahead].get()
print(f'All runs complete, {ready} events remaining', flush=True)
complete = ready == 0
iteration += 1
##### -------------------------------------------------------------- #####
# for idx in range(n_procs):
# save_images(images_part[idx], idx, point=idx)
for i in range(n_reconstructions):
save_rho(reconstructions[i], i)
save_diffraction(diffraction, 0)