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https://issues.apache.org/jira/browse/HADOOP-19666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18016705#comment-18016705
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ASF GitHub Bot commented on HADOOP-19666:
-----------------------------------------

leiwen2025 opened a new pull request, #7912:
URL: https://github.com/apache/hadoop/pull/7912

   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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   ### Description of PR
   
   
   ### How was this patch tested?
   
   
   ### For code changes:
   
   - [x] Does the title or this PR starts with the corresponding JIRA issue id 
(e.g. 'HADOOP-17799. Your PR title ...')?
   - [ ] Object storage: have the integration tests been executed and the 
endpoint declared according to the connector-specific documentation?
   - [ ] If adding new dependencies to the code, are these dependencies 
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> 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
>
> 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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