gqa: tile-granular Ring KV (P3c) + rename to gqa_attention_* + ADR-0060/62/63/64 → Accepted

Three logically distinct changes, bundled for atomic test green:

1. **P3c — prefill_long tile-granular Ring KV** (ADR-0060 §5.5.1 amendment).
   Convert the ring from slice-granular (one full ``(d_head, S_local)``
   KV slice per step) to tile-granular (``n_tiles`` tiles of
   ``TILE_S_KV`` per step). Nested loop with outer tile, inner ring step:
   each tile propagates through all C ring positions before the next
   tile starts, so IPCQ in-flight depth stays at 1 per direction.
   Bootstrap at ``(t=0, k=0)`` outside the scratch_scope establishes the
   persistent ``(m, ℓ, O)``; every other iteration scope-wraps + persists
   via ``copy_to``. Per-rank persistent scratch shrinks to ~1 KB; per-tile
   scope bounded by TILE_S_KV regardless of S_local. Headline:
   prefill_long now completes at S_kv=128K (previously overflowed).
   New: ``tests/attention/test_gqa_prefill_long_tile_ring.py``
   (3 tests — ceiling-lift + tile-granular ipcq_copy count +
   per-CUBE distributed output regression guard).

2. **Rename ``gqa_*`` → ``gqa_attention_*``** across kernel files,
   function names, and importers. The "attention" name makes the role
   explicit (GQA is grouped-query attention) and matches upstream Triton
   FlashAttention naming conventions. Renames:
     _gqa_decode_long.py        -> _gqa_attention_decode_long.py
     _gqa_decode_short.py       -> _gqa_attention_decode_short.py
     _gqa_prefill_long.py       -> _gqa_attention_prefill_long.py
     _gqa_prefill_short.py      -> _gqa_attention_prefill_short.py
   And function names ``gqa_<phase>_<context>_kernel`` →
   ``gqa_attention_<phase>_<context>_kernel``. Updated 1 bench file
   (milestone_gqa_headline.py) and 10 test files.

3. **ADR-0060 / 0062 / 0063 / 0064: Proposed → Accepted**.
   All four are reflected in production code and covered by tests:
   - ADR-0060 (GQA fused attention): 4 kernels deployed; §5.5.1
     amendment added for the tile-granular Ring KV introduced by P3c
     (EN + KO mirror).
   - ADR-0062 (lazy tl.load): LoadFuture + _await_pending live in
     tl_context.py.
   - ADR-0063 (tl.scratch_scope + tl.copy_to): used in every chain
     reduce + tile sweep + ring step. EN-only previously; KO
     translation authored as part of this commit (CLAUDE.md
     bidirectional rule).
   - ADR-0064 (per-op-type CPU issue cost): cpu_issue_cost.py +
     issue_cost_table wiring in tl_context.py (Phase E).
   Files git mv'd from docs/adr-proposed/ to docs/adr/ (EN) and
   docs/adr-ko/ (KO). ADR-0061 (tl.broadcast) stays Proposed — no
   implementation; documented as optional convenience primitive in
   the ADR itself.

Tests: 88/88 focused regression green
(tests/attention/ + Phase E + TL discipline).
ADR pair verification: ``python tools/verify_adr_lang_pairs.py`` OK.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
2026-06-10 16:17:32 -07:00
parent a8c50238c6
commit 7fad0371c5
22 changed files with 667 additions and 152 deletions
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"""Phase 1 spec test for P3c: tile-granular Ring KV in prefill_long
(ADR-0060 §5.5 amendment + ADR-0063 §A.2).
Today's prefill_long ring sends and receives full ``(d_head, S_local)``
KV slices per step. Step 0's local-attention intermediates also live
outside any ``scratch_scope`` (they're loaded as full-slice ``Kc``,
``Vc`` and feed ``scores``, ``exp_scores`` as persistent allocations).
At larger ``S_local`` both the step-0 leak and the ring step's
in-scope intermediates grow linearly with ``S_local``, and at
``S_local = 32K`` (S_kv=128K, C=4, T_q=4) the peak overflows the
1 MiB pool.
P3c converts the ring to **tile-granular**: a nested loop
``for k in range(C): for t in range(n_tiles): ...`` where each
iteration sends/recvs one ``(d_head, TILE_S_KV)`` tile (and its V
counterpart). The persistent state shrinks to ``(m, , O)`` only
(~1 KB); per-tile in-scope scratch is bounded by
``TILE_S_KV`` regardless of ``S_local``. Ceiling lifted.
Trade-off: the per-CUBE send count grows from ``2·(C-1)`` to
``2·n_tiles·(C-1)``. At ``n_tiles=1`` (small ``S_local``) the count is
unchanged, so the existing ``test_prefill_ring_c_*`` tests at
``S_kv ∈ {16, 32}`` still pass.
Phase 1 (this commit): tests only — production code lands in Phase 2.
T1 fails today with a ``TLContext scratch overflow``; T2 fails today
with the slice-granular ipcq_copy count; T5 passes today and is a
regression guard for the per-CUBE output write count.
"""
from __future__ import annotations
from pathlib import Path
from kernbench.benches._gqa_attention_prefill_long import gqa_attention_prefill_long_kernel # noqa: F401
from kernbench.ccl.install import load_ccl_config, resolve_algorithm_config
from kernbench.ccl.sfr_config import configure_sfr_intercube_ring
from kernbench.policy.placement.dp import DPPolicy
from kernbench.runtime_api.bench_runner import run_bench
from kernbench.runtime_api.types import resolve_device
from kernbench.sim_engine.engine import GraphEngine
from kernbench.topology.builder import resolve_topology
TOPOLOGY_DEFAULT = Path(__file__).resolve().parents[2] / "topology.yaml"
D_HEAD = 64
DTYPE = "f16"
def _ccl_cfg():
return resolve_algorithm_config(
load_ccl_config(), name="lrab_hierarchical_allreduce",
)
def _engine_factory(t, d):
return GraphEngine(getattr(t, "topology_obj", t), enable_data=True)
def _count(op_log, name: str) -> int:
return sum(1 for r in op_log if r.op_name == name)
def _run_prefill_ring(*, T_q: int, S_kv: int, C: int):
"""Head-parallel prefill with Ring KV across C CUBEs."""
topo = resolve_topology(str(TOPOLOGY_DEFAULT))
def _bench_fn(ctx):
configure_sfr_intercube_ring(
ctx.engine, ctx.spec, _ccl_cfg(), ring_size=C,
)
dp_q = DPPolicy(cube="replicate", pe="replicate",
num_cubes=C, num_pes=1)
dp_kv = DPPolicy(cube="row_wise" if C > 1 else "replicate",
pe="replicate", num_cubes=C, num_pes=1)
dp_o = DPPolicy(cube="row_wise" if C > 1 else "replicate",
pe="replicate", num_cubes=C, num_pes=1)
q = ctx.zeros((T_q, D_HEAD), dtype=DTYPE, dp=dp_q,
name=f"q_tlr_t{T_q}_c{C}_s{S_kv}")
k = ctx.zeros((S_kv, D_HEAD), dtype=DTYPE, dp=dp_kv,
name=f"k_tlr_t{T_q}_c{C}_s{S_kv}")
v = ctx.zeros((S_kv, D_HEAD), dtype=DTYPE, dp=dp_kv,
name=f"v_tlr_t{T_q}_c{C}_s{S_kv}")
o = ctx.empty((T_q * C, D_HEAD), dtype=DTYPE, dp=dp_o,
name=f"o_tlr_t{T_q}_c{C}_s{S_kv}")
ctx.launch(
f"gqa_prefill_long_tile_ring_t{T_q}_c{C}_s{S_kv}",
gqa_attention_prefill_long_kernel,
q, k, v, o,
T_q, S_kv, D_HEAD, C,
_auto_dim_remap=False,
)
return run_bench(
topology=topo, bench_fn=_bench_fn,
device=resolve_device(None),
engine_factory=_engine_factory,
)
# ── T1: 128K ceiling lift ────────────────────────────────────────────
def test_prefill_long_context_128k_completes():
"""ADR-0063 §A.2 headline ceiling lift. At S_kv=128K with C=4,
S_local=32K. Today: step-0 score-stack (~768 KB persistent) + ring
scope (~768 KB) → 1.5 MB peak → TLContext scratch overflow. After
P3c the persistent state is just ``(m, , O)`` (≈ 1 KB) and the
per-tile in-scope scratch is bounded by TILE_S_KV.
"""
result = _run_prefill_ring(T_q=4, S_kv=131_072, C=4)
assert result.completion.ok, (
f"prefill_long at S_kv=128K must complete after tile-granular "
f"ring lands; got {result.completion}"
)
# ── T2: tile-granular ipcq_copy count ────────────────────────────────
def test_prefill_long_tile_granular_ipcq_count():
"""ADR-0060 §5.5 amendment: with tile-granular sends, the per-CUBE
send count grows from ``2·(C-1)`` to ``2·n_tiles·(C-1)``. Aggregated
across all C CUBEs the total ipcq_copy becomes
``2·n_tiles·(C-1)·C``.
Config: T_q=4, S_kv=4096, C=2 → S_local=2048, n_tiles=2 (with
TILE_S_KV=1024). Today: slice-granular total =
``(C-1)·2·C = 4``. After P3c: tile-granular total =
``(C-1)·n_tiles·2·C = 8``.
"""
C = 2
n_tiles = 2 # S_local=2048 / TILE_S_KV=1024
result = _run_prefill_ring(T_q=4, S_kv=4096, C=C)
assert result.completion.ok, (
f"prefill_long multi-tile ring must complete; got {result.completion}"
)
n_copy = _count(result.engine.op_log, "ipcq_copy")
expected = (C - 1) * n_tiles * 2 * C
assert n_copy == expected, (
f"tile-granular ring: expected {expected} ipcq_copy "
f"((C-1)·n_tiles·2·C = {C - 1}·{n_tiles}·2·{C}); got {n_copy}"
)
# ── T5: per-CUBE distributed output unchanged (regression guard) ─────
def test_prefill_long_tile_ring_dma_write_count():
"""ADR-0060 §5.5: per-CUBE distributed output must hold under the
tile-granular ring rewrite. Each CUBE still writes its own head's
output (no inter-CUBE reduce); dma_write_count == C.
Today passes; must continue to pass after P3c.
"""
C = 4
result = _run_prefill_ring(T_q=4, S_kv=4096, C=C)
assert result.completion.ok
n_writes = _count(result.engine.op_log, "dma_write")
assert n_writes == C, (
f"per-CUBE distributed output: expected {C} dma_writes (one per "
f"CUBE); got {n_writes}"
)