ADR-0023 D9.7: IPCQ slot-memory latency model (TCM/SRAM/HBM)

Charge per-tier bandwidth + setup overhead at IPCQ slot WRITE
(receiver inbound DMA, in pe_dma._handle_ipcq_inbound) and slot
READ (recv consume, in pe_ipcq._handle_recv). Tier table
(common/ipcq_types.py):
  tcm  : 512 GB/s, 0 ns
  sram : 128 GB/s, 2 ns
  hbm  :  32 GB/s, 6 ns

Before this change, slot read/write was free regardless of
buffer_kind, making memory-tier choice invisible in simulated
latency. After the change, swapping buffer_kind in ccl.yaml
produces measurable per-tier separation in allreduce latency.

Tests:
  test_ipcq_buffer_kind_latency.py — three micro-tests asserting
    tcm < sram < hbm ordering, payload-scaling, and that
    buffer_kind sensitivity grows with payload (credit-only path
    stays fabric-bound).
  test_allreduce_buffer_kind_sweep.py — 12-config parametrized
    sweep emitting buffer_kind_sweep.png (3 lines, torus_2d).

conftest sessionfinish hook generalised to dispatch multiple
sweep aggregators (allreduce + buffer-kind).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/kernbench/components/builtin/pe_ipcq.py

@@ -329,6 +329,16 @@ class PeIpcqComponent(ComponentBase):
 
         qp["my_tail"] += 1
 
+        # ADR-0023 D9.7: charge IPCQ slot-READ latency against the
+        # backing-memory tier (tcm/sram/hbm). Recv blocks for the
+        # kernel-side slot consume; pe_exec_ns reflects this cost.
+        from kernbench.common.ipcq_types import slot_io_latency_ns
+        slot_read_ns = slot_io_latency_ns(
+            self._buffer_kind, req.result_data.get("nbytes", 0),
+        )
+        if slot_read_ns > 0:
+            yield env.timeout(slot_read_ns)
+
         # Diagnostics trace (D14)
         from kernbench.ccl import diagnostics
         if diagnostics.trace_enabled():