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[STF] Abstract logical data #3196

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Description

To improve CUDASTF modularity, it should be possible to describe abstract logical data which do not manage data allocations or transfers, letting users manage it but still get the benefits of automated management of asynchrony.

Checklist

  • New or existing tests cover these changes.
  • The documentation is up to date with these changes.

… the interface, and its implementations on streams and graphs.
@caugonnet caugonnet requested a review from a team as a code owner December 19, 2024 09:06
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/ok to test

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/ok to test

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/ok to test

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/ok to test

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/ok to test

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/ok to test

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🟩 CI finished in 37m 09s: Pass: 100%/26 | Total: 5h 17m | Avg: 12m 12s | Max: 20m 50s | Hits: 92%/312
  • 🟩 cudax: Pass: 100%/26 | Total: 5h 17m | Avg: 12m 12s | Max: 20m 50s | Hits: 92%/312

    🟩 cpu
      🟩 amd64              Pass: 100%/22  | Total:  4h 30m | Avg: 12m 17s | Max: 20m 50s | Hits:  92%/312   
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      🟩 Clang              Pass: 100%/13  | Total:  2h 46m | Avg: 12m 46s | Max: 14m 53s
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      🟩 NVHPC              Pass: 100%/2   | Total: 12m 58s | Avg:  6m 29s | Max:  6m 34s
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      🟩 v100               Pass: 100%/26  | Total:  5h 17m | Avg: 12m 12s | Max: 20m 50s | Hits:  92%/312   
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👃 Inspect Changes

Modifications in project?

Project
CCCL Infrastructure
libcu++
CUB
Thrust
+/- CUDA Experimental
python
CCCL C Parallel Library
Catch2Helper

Modifications in project or dependencies?

Project
CCCL Infrastructure
libcu++
CUB
Thrust
+/- CUDA Experimental
python
CCCL C Parallel Library
Catch2Helper

🏃‍ Runner counts (total jobs: 26)

# Runner
18 linux-amd64-cpu16
4 linux-arm64-cpu16
2 windows-amd64-cpu16
2 linux-amd64-gpu-v100-latest-1

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