perf(runtime): fix wide resident dispatch scaling - #2537
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📝 WalkthroughWalkthroughChangesThe runtime now caches address-free wire tensor descriptors and validates tensor ownership through object-identity indexes. New tests cover cache reuse, liveness checks, allocation cleanup, and constant-time lookup. An eight-rank benchmark measures dispatch submission and wait latency. Runtime dispatch and latency benchmark
Estimated code review effort: 4 (Complex) | ~45 minutes Merge Risk: 🔵 Low · up to The PR’s runtime change is mergeable, but the new benchmark currently places its generated script outside the examples directory, creating a bounded repository-hygiene issue that should be corrected or explicitly accepted before merge. Sequence Diagram(s)sequenceDiagram
participant Benchmark
participant RuntimeBase
participant DeviceTensor
participant Buffer
Benchmark->>RuntimeBase: allocate resident tensors
Benchmark->>RuntimeBase: dispatch rank-add program
RuntimeBase->>DeviceTensor: validate tensor ownership
DeviceTensor->>Buffer: create wire descriptor on first conversion
DeviceTensor-->>RuntimeBase: reuse cached wire descriptor
RuntimeBase-->>Benchmark: complete submission and wait
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🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Inline comments:
In `@examples/runtime/distributed_dispatch_latency.py`:
- Around line 134-135: Update the TemporaryDirectory call in the distributed
dispatch latency flow to set dir to the directory containing the example,
ensuring load_rank_add_program writes generated_dispatch_program.py under
examples rather than the system temporary directory; preserve the existing
temporary-directory lifecycle and program-loading behavior.
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📒 Files selected for processing (6)
examples/runtime/distributed_dispatch_latency.pypython/pypto/runtime/device_tensor.pypython/pypto/runtime/runtime_base.pypython/pypto/runtime/tensor_arg.pytests/ut/runtime/test_runtime_base.pytests/ut/runtime/test_tensor_arg.py
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Summary
DeviceTensorownership validation O(1) instead of scanning every live bufferFixes #2532.
Root cause
Generated L3 orchestration calls
make_tensor_arg()once per tensor per rank. For a DeepSeek-like workload with 141 resident inputs across DP8, that is 1,128 resident shards. The current no-worker_idownership check linearly scanned the approximately 1,128-entry_device_buffersmap for every shard, making dispatch descriptor packing O(N²). It also rebuilt the same immutable wire descriptor on every dispatch.The reverse identity index preserves checks for foreign workers, freed handles, and pointer reuse (ABA), while making the ownership lookup O(1). Descriptor caching happens only after that check, and every reuse still performs the liveness check.
Standalone NPU benchmark
b10cae3dbd3a477dbeforeThe DP8 first-to-last
runner_runentry spread drops from about 64 ms to about 7.1 ms. The remaining difference fromb10cae3dis fixed current task-graph packing/build overhead rather than allocation-count scaling.Validation
python -m pytest tests/ut/runtime -q: 694 passedruff checkon all changed Python files: passedruff format --checkon all changed Python files: passed