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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57181

Soldb: In-Memory Database with SIMD-Accelerated Core Operations

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57181

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57181

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.

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Authors

PS

Pugazhanti S

NTK

Naveen T K

V

V.SARAVANAKUMAR

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Abstract

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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Cite This Article

Pugazhanti S, Naveen T K, V.SARAVANAKUMAR, "Soldb: In-Memory Database with SIMD-Accelerated Core Operations," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM57181

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Publication Date

5/2/2026

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Double-Blind Peer Review

Review Rounds: 2

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