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Posted to common-issues@hadoop.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2025/10/16 06:19:00 UTC
[jira] [Commented] (HADOOP-19666) Add hardware-accelerated CRC32 support for riscv64 using the v,zbc,zvbc extension
[ https://issues.apache.org/jira/browse/HADOOP-19666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18030240#comment-18030240 ]
ASF GitHub Bot commented on HADOOP-19666:
-----------------------------------------
leiwen2025 commented on PR #7912:
URL: https://github.com/apache/hadoop/pull/7912#issuecomment-3409341544
@steveloughran @ayushtkn Hi, this PR has been open for a while. Could you please take a look when you have time? 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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