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https://issues.apache.org/jira/browse/HADOOP-19849?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18069976#comment-18069976
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ASF GitHub Bot commented on HADOOP-19849:
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PeterPtroc commented on PR #8371:
URL: https://github.com/apache/hadoop/pull/8371#issuecomment-4163618339
> Modern JDKs should be able to leverage hardware capabilities to speed up
CRC32/CRC32C calculations. Have you compared this implementation with the JDK
built-in one? If JDK does this well, seems we don't need to duplicate this on
the Hadoop side.
Great point. I agree that leveraging JDK intrinsics is the way to go if the
performance is on par or better. I'm running some benchmarks to compare our
implementation against the built-in CRC32/CRC32C on modern JDKs across
different environments. I'll update the thread with the results once I have
them.
> [RISC-V] Add Zbc-accelerated native CRC32C path in bulk CRC implementation
> --------------------------------------------------------------------------
>
> Key: HADOOP-19849
> URL: https://issues.apache.org/jira/browse/HADOOP-19849
> Project: Hadoop Common
> Issue Type: Improvement
> Components: common
> Affects Versions: 3.5.1
> Reporter: Ptroc
> Priority: Major
> Labels: pull-request-available
> Fix For: 3.5.1
>
>
> This change adds a riscv64 native CRC32C acceleration path in the existing
> bulk CRC implementation using Zbc (CLMUL) instructions. It introduces CRC32C
> bitwise fallback, pipelined processing, and runtime hookup of the CRC32C
> function pointer when Zbc is detected.
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