[vectorIntrinsics] Integrated: 8263149: Adding benchmarks for Vector API

[Wang Zhuo]

On Mon, 8 Mar 2021 03:31:38 GMT, Wang Zhuo <wzhuo at openjdk.org> wrote:

> 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>

This pull request has now been integrated.

Changeset: 51659814
Author:    Wang Zhuo <wzhuo at openjdk.org>
URL:       https://git.openjdk.java.net/panama-vector/commit/51659814
Stats:     780 lines in 3 files changed: 780 ins; 0 del; 0 mod

8263149: Adding benchmarks for Vector API

Reviewed-by: sviswanathan, njian, xgong

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