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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57181
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Soldb is a specialized in-memory key-value database that achieves extreme performance optimization for four core operations—GET, SET, EXISTS, and DELETE—through aggressive application of ARM NEON SIMD vectorization, hardware-accelerated hashing, and cache- aware design on Apple Silicon (M1/M2/M3) architecture. Unlike general- purpose databases, Soldb adopts a focused approach: hyper-optimize funda- mental operations to their performance limits while maintaining durability through efficient copy-on-write snapshotting. The system leverages ARM CRC32C instructions for hash computation (0.5ns/byte), NEON intrinsics for parallel 16-byte key comparison, 128-byte cache-line aligned data structures, branchless execution paths, and lock-free atomic operations. Comprehensive benchmarking demonstrates sub-100ns P50 latency for GET operations (85ns), ultra-fast EXISTS checks using SIMD bloom filters (45ns), and throughput exceeding 11M ops/sec for reads and 8M ops/sec for writes on M1 Pro. Performance profiling confirms >95% L1 cache hit rates and
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Publication Date
5/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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