K Prabhakar Reddy 01 02 To enhance the performance of audio compression and decompression the proposed research aims atoptimising Apple Lossless Audio Codec ALAC algorithm by using CUDA architecture provided by NVIDIA TheCPUintensive processes of ALAC such as prediction residual coding and entropy encoding take more timetherefore the performance is increased by using graphics processing units through parallel processing with CUDAThe research saves a lot of time in processing in comparison with traditional implementations of CPUs and this isdone by redesigning key algorithm elements in order to utilize GPU parallelism Experiment outings reveal theperformance is more efficient and higher throughput and audio quality remains unaffected The opportunity to encodeand decode highfidelity audio on faster realtime is beneficial to applications such as streaming storage andplayback on GPUcapable devices The paper focuses on the way CUDAbased acceleration can enhance the workof audio codecs Copyright (c) Journal of Engineering Technology and Sciences. All rights reserved 2026