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)