[vectorIntrinsics] RFR: 8263149: Adding some algorithms optimized by Vector API into JMH benc…

[Wang Zhuo]

Here are some code samples for panama-vector vectorIntrinsics JMH benchmarks. 
These code were developed during our work on optimizing Alibaba applications with Vector API.
VectorDistance contains Cosine distance and Euclidean distance, scalar code from 
https://github.com/opendistro-for-elasticsearch/k-NN/blob/aa5d1d40b136e2b3d33a14e80a2a374b2be015f9/src/main/java/com/amazon/opendistroforelasticsearch/knn/plugin/script/KNNScoringUtil.java#L61
In many scenarios, ElasticSearch engineers reported more than 4X E2E speedup using Vector API.

BooleanArrayCheck and ValueRangeCheckAndCastL2I were from OLAP applications.

Co-authored-by: Joshua Zhu <jzhu at openjdk.org>

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Commit messages:
 - 8263149: Adding some algorithms optimized by Vector API into JMH benchmarks

Changes: https://git.openjdk.java.net/panama-vector/pull/45/files
 Webrev: https://webrevs.openjdk.java.net/?repo=panama-vector&pr=45&range=00
  Issue: https://bugs.openjdk.java.net/browse/JDK-8263149
  Stats: 736 lines in 3 files changed: 736 ins; 0 del; 0 mod
  Patch: https://git.openjdk.java.net/panama-vector/pull/45.diff
  Fetch: git fetch https://git.openjdk.java.net/panama-vector pull/45/head:pull/45

PR: https://git.openjdk.java.net/panama-vector/pull/45