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pith:2026:XDHKGM5IIL27N6LIIMDHYGDGKD
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{\mu}-ORCA: Optimizing Acceleration for Microsecond-Scale Deep Neural Network Inference on ACAP

Jinming Zhuang, Peipei Zhou, Shixin Ji, Wei Zhang, Xingzhen Chen, Zhuoping Yang

μ-ORCA achieves 0.93 μs DNN inference latency on ACAP by direct AIE array communication

arxiv:2605.17683 v1 · 2026-05-17 · cs.AR

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Claims

C1strongest claim

μ-ORCA achieves 0.93 μs latency for a 6-layer real-world DeepSets model, satisfying the 1-μs latency budget, with average latency reduction of >1.70× and >1.83× compared with different state-of-the-art ACAP frameworks.

C2weakest assumption

The assumption that direct inter-layer communication on the AIE array can be realized with negligible additional synchronization or routing overhead for the small problem sizes typical of jet-tagging models (section on framework design and evaluation).

C3one line summary

μ-ORCA achieves 0.93 μs end-to-end latency for a 6-layer DeepSets model on AMD ACAP VEK280 by direct AIE-array inter-layer communication and overhead-aware design space exploration, delivering over 1.7× latency reduction versus prior ACAP frameworks.

References

38 extracted · 38 resolved · 1 Pith anchors

[1] Real time analysis with the CMS Level-1 Trigger, 2025 2025
[2] The next-generation triggers for CERN detectors, 2025 2025
[3] Taking a closer look at LHC, 2025 2025
[4] Abdelkhalik, H. et al. Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. InHPEC, pages 1–8, 2022 2022
[5] Zhuang, J. et al. CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. InFPGA, New York, NY, USA, 2023 2023

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Receipt and verification
First computed 2026-05-20T00:04:52.577087Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b8cea333a842f5f6f96843067c186650dd667fcc39be57a3d0be7840a1ece6e3

Aliases

arxiv: 2605.17683 · arxiv_version: 2605.17683v1 · doi: 10.48550/arxiv.2605.17683 · pith_short_12: XDHKGM5IIL27 · pith_short_16: XDHKGM5IIL27N6LI · pith_short_8: XDHKGM5I
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/XDHKGM5IIL27N6LIIMDHYGDGKD \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b8cea333a842f5f6f96843067c186650dd667fcc39be57a3d0be7840a1ece6e3
Canonical record JSON
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    "primary_cat": "cs.AR",
    "submitted_at": "2026-05-17T22:54:01Z",
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