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https://issues.apache.org/jira/browse/HADOOP-19666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18037333#comment-18037333
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ASF GitHub Bot commented on HADOOP-19666:
-----------------------------------------

leiwen2025 commented on PR #7912:
URL: https://github.com/apache/hadoop/pull/7912#issuecomment-3514754045

   Hi @pan3793 , could you please review this PR when you have time? The key 
difference from #8031  is the set of RISC-V extensions used, and I've 
implemented it with vector instructions. I'd really appreciate your feedback. 
Thanks!




> Add hardware-accelerated CRC32 support for riscv64 using the v,zbc,zvbc 
> extension
> ---------------------------------------------------------------------------------
>
>                 Key: HADOOP-19666
>                 URL: https://issues.apache.org/jira/browse/HADOOP-19666
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: native
>    Affects Versions: 3.4.1
>            Reporter: Lei Wen
>            Priority: Major
>              Labels: pull-request-available
>
> This PR implements vector-accelerated CRC32 using the RISC-V V, Zbc and Zvbc
> instruction sets, with full functional verification and performance testing 
> completed.
> The implementation uses the vclmul.v and vclmulh.v (carry-less multiply) 
> instructions for data folding and computes the final checksum via Barrett 
> reduction.
> Key Features: 
> 1. Runtime Hardware Detection
> The PR uses kernel hardware probing and cpuinfo parsing to dynamically detect 
> hardware support for CRC32 acceleration (via v, zbc, and zvbc extensions) at 
> runtime.
> 2. Performance Improvement
> Hardware-accelerated CRC32 achieves a performance boost of over *3x* compared 
> to the software implementation.



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