This repository is a curated collection of my published research work in the field of computer science, focusing on high-performance computing and parallel processing techniques.
Abstract
High performance computing (HPC) has proved to be a colossal computation resource for data intensive applications that require parallel processing for expeditious data analysis. In this paper, we analyze a parallel programming model using OpenMP for file compression. The intent of the paper is to explore literature on the subject and to provide a high level view of the features presented in the programming model, thus assisting lossless file compression.
Keywords: OpenMP, LZW, Lossless Compression, HPC
- 🌐 Journal URL: https://www.ijcstjournal.org/volume-4/issue-6/IJCST-V4I6P24.pdf
Abstract
Multi-core programming has given rise to advanced implementations in computing. Increasing number of compression algorithms are being remodelled to utilize the multi-core computational power available at hand. In JPEG (Joint Photographic Experts Group) compression, DCT is a computationally intensive function which bottlenecks the performance of the algorithm. This paper presents a fast solution for DCT with the help of parallel programming, using OpenMP for the implementation on a multi-core CPU. The results indicate that in the parallel implementation exhibits considerable speedup as compared to the serial implementation.
Keywords: JPEG, DCT, image compression, OpenMP, parallel programming, multi-core processor
- 🌐 Journal URL: https://www.ijcstjournal.org/volume-4/issue-6/IJCST-V4I6P24.pdf