better throughput scheduling
Validate Operations / validate-operations (push) Failing after 3h13m5s

update results_comparison.csv
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NiccoloN
2026-10-19 22:11:51 +02:00
parent 034c197260
commit 48e9fb3795
21 changed files with 1636 additions and 259 deletions
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@@ -6,6 +6,24 @@ there; the details below describe current implementation choices.
## Publication, order, and local materialization
Deferred transfer planning allocates one host slot for repeated full-fragment
requirements with the same physical producer, payload type, and source slot.
One immutable producer result identifies one logical inference generation.
Scalar source projections retain separate publications until their exact
geometry has a common representation in both analyses.
Boundary planning moves a shared publication's notifications to its earliest
existing send boundary. The first notification stores the payload before READY;
later notifications emit READY only. Each reader retains its load and READY
count. FREE planning includes every physical reader before the first overwrite
of the shared slot. Existing unique writer-reader releases, register allocation,
capacity-driven FREE-group merging, and restart barriers remain in force.
Host-slot allocation and shared-boundary planning take expected linear time
and space in the number of physical consumer transfers. Structured send runs
retain compact per-lane store flags. They do not duplicate payload shaping
for notification-only readers.
[`materializeScheduledCompute`](../../src/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/ScheduledComputeMaterialization.cpp) records
graph IDs for publication identity, not execution order. Class lanes retain
graph encounter order independently of physical core IDs, preserving regular
@@ -65,10 +83,14 @@ remain approximations, not extra inferred memory traffic.
[`PipelineScheduling.cpp`](../../src/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/Scheduling/PipelineScheduling.cpp) caches a per-template
adjustment between physical execution cost and nominal volume priority, scaling
it by chunk lanes. Partitioning and packing use the nominal priorities;
transposes count as bulk moves there. PEFT, final schedule evaluation, and
reported per-core demand use physical estimates. These quantities must not be
substituted for one another when interpreting results.
it by chunk lanes. The original partitioning and packing candidate uses nominal
priorities; transposes count as bulk moves there. The memory-aware candidate
uses execution estimates for partitioning, retaining the existing core-budget
and packing heuristics. Final
selection evaluates bounded alternatives after physical placement, retaining
the original candidate when the combined resource estimates worsen. PEFT,
final schedule evaluation, and reported per-core demand use physical estimates.
These quantities must not be substituted for measured simulator periods.
Placement compares maximum per-core serial compute plus incident same-stage
transfer demand, then completion/span and compute load. Each participating core