Blocked fine storage: passive stationary circles via receiver-local BFL

FixedPatchStepper(fine_block=..., fine_objects=[circle]) now accepts
passive stationary circles; any surface actuation is rejected before CUDA
(dense fine path unchanged). prepare_fine_boundary still decides legality
on the dense fine grid; its SoA is mapped by the new array-based storage
adapter blocks.blocked_link_tables (map_cut_links: unique receiver owner
and local writer, row order kept; blocked flags sized nblocks*L), which
PeriodicBlockStepper._static_circles now also uses (single-level legality
builder unchanged). Per fine hop on the same buffer: halo -> existing
BlockCurvedBoundary -> BlockStep(flags, kind). No CUDA changes.
Tests: fixture 76 links / 68 q<.5 and 8 seam writes + 8 seam donors per
decomposed layout (both modes); adapter flags sizing; mocked launch-order
contract; GPU: periodic and slot_reservoir, 8 coarse steps, dense fine
body vs 1x1/2x2/4x2 fine blocks, exact values + NaN masks on masked
downloads and raw final arrays, ACTIVE fluid finite, solid/OUTER NaN.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Claude
2026-10-15 04:25:09 +00:00
co-authored by Claude Opus 5.5
parent 59921a0181
commit 2bbf82121e
4 changed files with 181 additions and 21 deletions
+7 -10
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@@ -19,7 +19,7 @@ import numpy as np
import pycuda.driver as cuda
from ..cuda import compiler_v2 as compiler
from .blocks import NQ, BlockLayout2D
from .blocks import NQ, BlockLayout2D, blocked_link_tables
from .descriptors import D2Q9_EX, D2Q9_EY, FLUID, SOLID
MAX_GRID_DIM = 65535 # CUDA gridDim.y/z limit (rows, blocks)
@@ -64,15 +64,12 @@ def _static_circles(layout, objects):
for q in range(1, NQ) if solid[source(r, q)]}
if len(receivers) != len(links) or receivers != required:
raise ValueError("Cut links must cover every fluid pull from a solid exactly once")
mapped = layout.map_cut_links(links) # unique receiver owner and local writer
cells = int(np.prod(layout.local_shape))
blocked_flags = np.zeros(layout.nblocks * cells, np.uint16) # halo entries unused
blocked_flags[layout.owner.ravel().astype(np.intp)] = flags
return dict(solid=solid, flags=blocked_flags, block=mapped.block,
cell=(mapped.receiver % cells).astype(np.uint32),
dir=np.array([link.dir for link in links], np.uint8),
q=np.array([link.q for link in links], np.float32),
fallback=np.array([link.fallback for link in links], np.uint8))
tables, _ = blocked_link_tables(
layout, flags, np.array([link.fluid_idx for link in links], np.uint32),
np.array([link.dir for link in links], np.uint8),
np.array([link.q for link in links], np.float32),
np.array([link.fallback for link in links], np.uint8))
return dict(solid=solid, **tables)
class PeriodicBlockStepper:
+28
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@@ -27,6 +27,7 @@ No moving geometry is implied.
"""
from dataclasses import dataclass
from numbers import Integral
from types import SimpleNamespace
import numpy as np
@@ -266,3 +267,30 @@ class BlockLayout2D:
or not blocked.flags.c_contiguous:
raise ValueError(f"expected C-contiguous blocked array {self.blocked_shape}")
return blocked
def blocked_link_tables(layout, flags, fluid_idx, dir, q, fallback):
"""Storage adapter: dense static cut-link SoA + dense flags -> blocked tables.
Legality (geometry, coverage, transfer isolation) stays with the caller's
own builder; this only maps storage via map_cut_links (unique receiver
owner and local writer, input row order kept). Returns (tables, mapped):
tables holds device-ready arrays, with flags sized nblocks*L (unused halo
entries 0) and cell = the receiver's local core cell.
"""
flags = np.asarray(flags)
if flags.shape != (int(np.prod(layout.shape)),) or flags.dtype != np.uint16:
raise ValueError("flags must be dense uint16 with one entry per grid cell")
columns = [np.asarray(fluid_idx), np.asarray(dir), np.asarray(q), np.asarray(fallback)]
if len({len(c) for c in columns}) != 1:
raise ValueError("cut-link columns must have equal length")
mapped = layout.map_cut_links(SimpleNamespace(fluid_idx=r, dir=d, q=v, fallback=f)
for r, d, v, f in zip(*columns))
cells = int(np.prod(layout.local_shape))
blocked_flags = np.zeros(layout.nblocks * cells, np.uint16)
blocked_flags[layout.owner.ravel().astype(np.intp)] = flags
tables = dict(flags=blocked_flags, block=mapped.block,
cell=(mapped.receiver % cells).astype(np.uint32),
dir=columns[1].astype(np.uint8), q=columns[2].astype(np.float32),
fallback=columns[3].astype(np.uint8))
return tables, mapped
+33 -6
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@@ -14,7 +14,7 @@ import numpy as np
import pycuda.driver as cuda
from ..cuda import compiler_v2 as compiler
from .blocks import BlockLayout2D
from .blocks import BlockLayout2D, blocked_link_tables
from .block_stepper import MAX_GRID_DIM
from .refinement import ACTIVE, HALO, OUTER_GHOST, FixedPatch2D, prepare_fine_boundary
from .descriptors import SOLID
@@ -65,12 +65,15 @@ class FixedPatchStepper:
On a device/launch failure the instance becomes unusable: close and recreate
it, rather than pretending the partially advanced fine buffer rolled back.
``fine_block=(by, bx)`` (opt-in, body-free only) stores the fine level in
``fine_block=(by, bx)`` (opt-in) stores the fine level in
blocks.cu storage: the ENTIRE fine_shape, including the four-cell patch
ghost band, is partitioned by a non-periodic BlockLayout2D with one-cell
same-level halos. Patch kinds stay per cell (OUTER invalid, INNER stream
only, ACTIVE collide); halos are gathered before each fine hop. Public
arrays keep the dense (9, ny, nx) fine shape; only the allocation differs.
Blocked fine_objects must be passive stationary circles (no actuation):
prepare_fine_boundary decides legality on the dense fine grid, then cut
links are staged receiver-local per hop: halo -> BFL -> step, same buffer.
"""
def __init__(self, cfg, bounds, *, context, coarse_boundary="periodic", fine_objects=(),
fine_block=None):
@@ -90,8 +93,8 @@ class FixedPatchStepper:
fine_objects = tuple(fine_objects)
self.fine_layout = None
if fine_block is not None:
if fine_objects:
raise ValueError("fine_block storage is body-free; fine_objects need the dense fine level")
if any(getattr(obj, "surface_actuation", None) is not None for obj in fine_objects):
raise ValueError("fine_block supports passive circles only; actuation needs the dense fine level")
if len(fine_block) != 2:
raise ValueError("fine_block must be (by, bx)")
fy, fx = self.patch.fine_shape
@@ -101,6 +104,11 @@ class FixedPatchStepper:
raise ValueError("fine blocks exceed launch limits")
self.fine_boundary = prepare_fine_boundary(
cfg, self.patch, fine_objects, wall_aware=self._wall_aware)
self._fine_tables = None
if self.fine_layout is not None and self.fine_boundary is not None:
fluid_idx, dirs, q, _, _, _, _, fallback = self.fine_boundary.curved_host
self._fine_tables, _ = blocked_link_tables(
self.fine_layout, self.fine_boundary.flags, fluid_idx, dirs, q, fallback)
self._fine_leaf = self.patch.fine_kind == ACTIVE
if self.fine_boundary is not None:
self._fine_leaf &= (self.fine_boundary.flags.reshape(self.patch.fine_shape) & SOLID) == 0
@@ -113,6 +121,7 @@ class FixedPatchStepper:
self._stream = None
self._fine_flags = self._fine_curved = self._curved = None
self._kind = self._halo_copy = self._halo_dst = self._halo_src = None
self._link_tables = {}
self._block = (cfg.threads_per_block, 1, 1)
fine_cfg = replace(cfg, nx=self.patch.fine_shape[1], ny=self.patch.fine_shape[0],
viscosity=2 * cfg.viscosity)
@@ -173,7 +182,12 @@ class FixedPatchStepper:
module = self._levels[1].module
self._explode = module.get_function("BlockExplode")
self._halo_copy = module.get_function("BlockHaloCopy")
if self.fine_boundary is not None:
if self._fine_tables is not None:
self._fine_flags = self._upload(self._fine_tables["flags"])
self._link_tables = {k: self._upload(v) for k, v in self._fine_tables.items()
if k != "flags"}
self._curved = self._levels[1].module.get_function("BlockCurvedBoundary")
elif self.fine_boundary is not None:
from .curved_links import CurvedLinkSoA
boundary = self.fine_boundary
self._fine_flags = self._upload(boundary.flags)
@@ -266,6 +280,15 @@ class FixedPatchStepper:
cl.link_exchange_gpu if cl.link_exchange_gpu is not None else np.uintp(0),
grid=((cl.count + self._block[0] - 1) // self._block[0], 1), **kw)
def _blocked_fine_boundary(self, buffer, **kw):
if self._fine_tables is None:
return
if self._curved is None or self._fine_flags is None:
raise RuntimeError("Fine boundary device buffers are missing")
t, count = self._link_tables, len(self._fine_tables["cell"])
self._curved(buffer, t["block"], t["cell"], t["dir"], t["q"], t["fallback"],
np.uint32(count), grid=((count + self._block[0] - 1) // self._block[0], 1), **kw)
def _fine_halo(self, buffer, **kw):
pairs = len(self.fine_layout.halo_dst)
if pairs:
@@ -290,9 +313,12 @@ class FixedPatchStepper:
**kw)
if self.fine_layout is not None:
# Gather one-cell block halos before EACH fine hop.
# Same buffer per hop: halo -> receiver-local BFL -> step.
flags = self._fine_flags if self._fine_flags is not None else np.uintp(0)
for src, dst in ((f.current, f.spare), (f.spare, f.current)):
self._fine_halo(src, **kw)
f.kernel(src, dst, np.uint32(self.fine_layout.halo), np.uintp(0),
self._blocked_fine_boundary(src, **kw)
f.kernel(src, dst, np.uint32(self.fine_layout.halo), flags,
self._kind, grid=f.grid, **kw)
else:
flags = self._fine_flags if self._fine_flags is not None else np.uintp(0)
@@ -355,6 +381,7 @@ class FixedPatchStepper:
error = error or exc
self._fine_curved = None
self._curved = self._fine_flags = None
self._link_tables = {}
for pointer in self._allocations:
try:
pointer.free()