[FEATURE] [k-NN] Lucene Engine with SIMD support

[vamshin]

Is your feature request related to a problem?
Related to opensearch-project/OpenSearch#9423

[heemin32]

I have done more testing regarding k-NN feature with different platforms and data set. SIMD improves both indexing and query latency significantly across various data dimensions and sizes.

Cluster configuration: 3 leader nodes (c5.xlarge), 1 data nodes (r5.8xlarge, for arm r6g.8xlarge is used), 16 shards
Test client: c5.4xlarge, 10 threads
OpenSearch version: 2.9.0

Data: 128 dimendions, 62.5M
Ingest latency

	lucene	lucene-simd	faiss	nmslib	lucene-arm	lucene-arm-simd
p50 (ms)	178.11421	122.30828 (↓31%)	33.20409	32.69062	122.17994	96.55073 (↓21%)
p90 (ms)	274.55679	209.68928 (↓24%)	55.89496	59.54174	217.74488	173.76887 (↓20%)
p99 (ms)	360.08076	371.0854 (↑3%)	136.11067	142.8995	308.54483	366.9349 (↑20%)

Query latency

	lucene	lucene-simd	faiss	nmslib	lucene-arm	lucene-arm-simd
p50 (ms)	25.46449	21.36737 (↓16%)	19.91484	12.67667	22.23088	18.52915 (↓17%)
p90 (ms)	32.10869	27.49935 (↓14%)	22.70937	15.81869	28.28701	23.47646 (↓17%)
p99 (ms)	38.6863	34.31535 (↓11%)	28.61526	21.55276	34.01487	29.16956 (↓14%)

Time taken to force merge after indexing

	lucene	lucene-simd	faiss	nmslib	lucene-arm	lucene-arm-simd
Merge time(hours)	51.2	32.4 (↓37%)	45.2	54.4	64.1	38.9 (↓39%)

Data: 768 dimendions, 10M
Ingest latency

	lucene	lucene-simd	faiss	nmslib	lucene-arm	lucene-arm-simd
p50 (ms)	330.42268	162.81989 (↓51%)	45.58239	44.23989	222.11812	157.54088 (↓29%)
p90 (ms)	473.48127	301.78705 (↓36%)	160.51715	159.05736	429.0347	414.04998 (↓3%)
p99 (ms)	631.20325	628.94332 (↓0%)	2043.30716	2067.34907	711.63805	697.69039 (↓2%)

Query latency

	lucene	lucene-simd	faiss	nmslib	lucene-arm	lucene-arm-simd
p50 (ms)	56.85642	39.89531 (↓30%)	27.12591	28.30539	44.72728	36.15098 (↓19%)
p90 (ms)	67.9561	50.22711 (↓26%)	34.21036	35.30814	56.28556	46.84457 (↓17%)
p99 (ms)	78.86851	60.37412 (↓23%)	41.48554	43.02242	67.96228	57.9375 (↓15%)