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nki(reverse_array): NKI (Trainium) implementation - #298

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@bowencui123 bowencui123 commented Aug 29, 2026

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NKI (AWS Trainium) implementation of reverse_array, split out of the consolidated NKI branch cecilia/feature/nki-vector-add (nki-all-operators, #259) so each operator can be reviewed independently. Supersedes #187 (older per-operator branch: legacy neuronxcc.nki imports; this is the migrated import nki version).

Files: A benchmarks/operators/reverse_array/impl_nki.py

Status: imports and exposes run()/get_last_config() on trn2 (nki 0.6.0); not individually re-benchmarked in this split

Implementation by @Cecilia123li. Timing/identity infrastructure: #261; Trainium peak/roofline infra: #262.

🤖 Generated with Claude Code

https://claude.ai/code/session_012Q38kGmXvyoeM1qtCbheSL

Autotune (b3046c9)

NKI tunables Triton counterpart note
block_size (free-dim tile per 128-partition block) BLOCK_SIZE

autotune=False keeps the previous constants (default numbers unchanged). Validation on trn2, case 0 (default run + autotune code path with the candidate timer stubbed — no sweep; --autotune runs a real sweep):

# initial run
[reverse_array] default : verify=OK (2s) 
[reverse_array] autotune: verify=OK (0s) last_config={'block_size': 16384} trace_records=1 
STUB_EXIT=0
Params      |    Dtype |  Torch(ms) |      NKI(ms) |  Speedup(N)
n=1000000   | fp16     |     9.2801 |       0.2115 |       43.88

Split out of the consolidated NKI branch cecilia/feature/nki-vector-add
(nki-all-operators, PR #259) so each operator can be reviewed on its own.
Supersedes PR #187 (older per-operator branch).

Co-Authored-By: Cecilia123li <68335867+Cecilia123li@users.noreply.github.com>
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012Q38kGmXvyoeM1qtCbheSL
bowencui123 and others added 6 commits August 29, 2026 08:37
Tunables mirror the Triton search space (`BLOCK_SIZE`); defaults are the previous constants,
so autotune=False is unchanged.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012Q38kGmXvyoeM1qtCbheSL
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014pR5BQjiMBmoBxzSURViRA
Merges NKI backend timing into results/csv/reverse_array_default.csv, run
against this branch's impl_nki.py on trn2.3xlarge with the LNC2
execution contract (NEURON_LOGICAL_NC_CONFIG=2, NEURON_RT_NUM_CORES=1,
NEURON_CC_FLAGS="--target trn2 --lnc 2"). All cases pass correctness
verification.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AQseF7nyesBh8KZAp8g7Cm
# Conflicts:
#	results/csv/reverse_array_autotune.csv
#	results/csv/reverse_array_default.csv
…reverse, per-row stores, in-kernel tails); XLA torch baseline gather<=8M / flip; rerun benchmarks

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01ScXYNjrrKGgDUVNHxv7HJt
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2 participants