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Summary of Changes
Hello @xiezhq-hermann, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request significantly refactors the storage and caching mechanisms within HiCache, primarily focusing on improving the efficiency and simplicity of data synchronization and memory management in distributed environments. The changes aim to address existing issues and enhance the overall performance of storage operations by streamlining internal processes and optimizing resource handling.
Highlights
- Simplified Synchronization Logic: The pull request refactors the synchronization mechanisms across Tensor Parallel (TP) workers by removing dedicated groups for prefetch I/O and backup, and streamlining the backup acknowledgment process. This simplifies the overall sync logic for HiCache storage operations.
- Centralized Host Memory Release: A new
host_mem_release_queueandappend_host_mem_releasemethod have been introduced to centralize and defer the release of host memory. This change aims to improve memory management efficiency by batching memory deallocation operations. - Optimized Storage Control Queue Processing: The
hiradix_cachenow combines the processing of prefetch revoke, backup acknowledgments, and host memory release into a singledrain_storage_control_queuesmethod. This reduces the overhead of inter-process communication and Python-level synchronization in distributed environments. - Refined Prefetching and Backup Batching: The logic for prefetching and backing up pages has been updated to consistently use a
storage_batch_size(set to 128 pages), improving the granularity and efficiency of I/O operations. The storage hit query mechanism has also been enhanced for better batch processing. - Removed Redundant Storage State Tracking: The
backuped_storageattribute has been removed fromTreeNodeinradix_cache.py, indicating a shift away from tracking storage backup status at the individual node level, likely in favor of a more centralized or implicit mechanism.
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Code Review
This pull request refactors the storage synchronization mechanism in HiCache, simplifying the logic and reducing synchronization overhead between TP workers. The changes include removing dedicated process groups for I/O and backup, and introducing a new queue-based mechanism for releasing host memory. The logic for querying storage hits and handling backup acknowledgements has also been streamlined.
My review focuses on potential performance implications of the refactoring and opportunities for further simplification. I've identified a hardcoded batch size that might not be optimal for all backends, and an inefficient data handling pattern for the new memory release queue. Overall, the refactoring is a good step towards a cleaner and more efficient implementation.
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adding @pansicheng as a co-author |
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LGTM |
Co-authored-by: pansicheng <27603155+pansicheng@users.noreply.github.com>
Motivation
This refactor uses a different sync mechanism across TP workers and simplifies sync logics. It also fix the problem mentioned in #9045, #9302 and #9643.
Modifications
Accuracy Tests
Benchmarking and Profiling
Checklist