jgrusewski bf87a8d0bb perf: kan_grad_reduce — batch-parallel 2-phase (8ms×208 → <0.1ms×208) ...

Replace single-phase one-thread-per-param serial loop (batch_size iterations
per thread) with kan_grad_reduce_p1 (block sums, grid=(ceil(B/256),total_params),
shared mem) + kan_grad_reduce_p2 (warp-shuffle final reduce, grid=(total_params)).
Allocate partials scratch [ceil(B/256)*total_params] for trunk + 4 branches.
Update CublasBackwardSet constructor signature and both call sites.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-19 12:49:03 +02:00

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backtesting

refactor: collapse 9-level to 7-level ExposureLevel — eliminate degenerate Flat variants

2026-04-11 11:54:09 +02:00

common

fix: switch tracing to stderr (unbuffered) — stdbuf has no effect on Rust

2026-04-02 16:29:55 +02:00

config

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ctrader-openapi

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data

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database

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market-data

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ml

perf: kan_grad_reduce — batch-parallel 2-phase (8ms×208 → <0.1ms×208)

2026-04-19 12:49:03 +02:00

ml-asset-selection

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ml-backtesting

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ml-checkpoint

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ml-core

cleanup: purge all bf16 naming remnants — pure f32/TF32 pipeline

2026-04-18 10:30:04 +02:00

ml-data

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ml-data-validation

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ml-dqn

fix: PER kernels read size from pinned device-mapped pointer at graph replay

2026-04-19 10:16:11 +02:00

ml-ensemble

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-explainability

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-features

fix: zen precommit — 2 criticals + 3 lows resolved

2026-04-17 02:05:20 +02:00

ml-hyperopt

refactor: LHS is the correct algorithm for small budgets, not a fallback

2026-03-29 19:18:47 +02:00

ml-labeling

fix(clippy): ml-supervised + ml-core + thin crates — 34 errors fixed

2026-03-19 00:39:03 +01:00

ml-observability

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ml-paper-trading

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ml-ppo

cleanup: rename all _bf16 kernel functions and variables — pure f32 pipeline

2026-04-18 10:19:12 +02:00

ml-regime

refactor(cuda): eliminate all CPU fallbacks — CUDA mandatory across ML stack

2026-03-16 21:01:28 +01:00

ml-regime-detection

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ml-risk

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ml-security

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ml-stress-testing

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ml-supervised

cleanup: remove half crate dependency from entire workspace

2026-04-10 18:54:14 +02:00

ml-universe

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ml-validation

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model_loader

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risk

refactor: eliminate candle from entire workspace — tests, examples, Cargo.toml

2026-03-18 00:53:47 +01:00

risk-data

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storage

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trading_engine

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trading-data

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training_uploader

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