Java's Arrays class includes a hashCode(byte[]) utility function for computing hash values of byte arrays, but despite its introduction in Java 1.5 and presumed optimizations, newer pure Java implementations can outperform both the default and intrinsic implementations in OpenJDK 24. The traditional method, reliant on iterative byte processing, is limited in compiler optimization potential, leading researchers to explore alternatives like loop unrolling and vectorization. By applying techniques such as unrolling loops and using SIMD (Single Instruction, Multiple Data) and SWAR (SIMD Within A Register), developers have managed to significantly enhance the hash computation speed. These methods involve advanced operations, such as manipulating bytes in parallel using the Vector API, which is part of Java since version 16, and converting multiple bytes into long integers for efficient processing. Benchmark tests showed that new SWAR and SIMD-based implementations are up to 2.9 times faster than the default method and even surpass the OpenJDK intrinsic implementation for certain array sizes, suggesting room for improvement in OpenJDK's approach by incorporating these advanced techniques.