jgrusewski 550944ebf2 feat(ml): add CudaStreamPool for multi-stream ensemble inference ...

CUDA stream pool with CPU no-op fallback. Foundation for
StreamAwareEnsemble that runs models on separate CUDA streams.

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

2026-03-02 17:52:45 +01:00

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backtesting

docs: create/update README.md for all 17 crates

2026-03-01 22:47:39 +01:00

common

refactor(common): make init_observability sync with optional OTLP endpoint

2026-03-01 23:03:13 +01:00

config

docs: create/update README.md for all 17 crates

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ctrader-openapi

docs: create/update README.md for all 17 crates

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data

docs: create/update README.md for all 17 crates

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database

docs: create/update README.md for all 17 crates

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market-data

docs: create/update README.md for all 17 crates

2026-03-01 22:47:39 +01:00

ml

feat(ml): add CudaStreamPool for multi-stream ensemble inference

2026-03-02 17:52:45 +01:00

ml-data

docs: create/update README.md for all 17 crates

2026-03-01 22:47:39 +01:00

model_loader

docs: create/update README.md for all 17 crates

2026-03-01 22:47:39 +01:00

risk

docs: create/update README.md for all 17 crates

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risk-data

docs: create/update README.md for all 17 crates

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storage

docs: create/update README.md for all 17 crates

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trading_engine

docs: create/update README.md for all 17 crates

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trading-data

docs: create/update README.md for all 17 crates

2026-03-01 22:47:39 +01:00

training_uploader

docs: add lib.rs doc comment to training_uploader

2026-03-01 22:53:11 +01:00

web-gateway

refactor(common): make init_observability sync with optional OTLP endpoint

2026-03-01 23:03:13 +01:00