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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Muhammad Koprawi
Computer Engineering; Universitas Amikom Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management

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Parallel Computation in Uncompressed Digital Images Using Computer Unified Device Architecture and Open Computing Language Muhammad Koprawi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 8 No. 1 (2020): Maret 2020
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v8i1.2017

Abstract

In general, a computer program will execute instructions serially. These instructions will be run on the CPU or referred to as serial computing. But when computing is run in large numbers, the time required by serial computing becomes very long. Therefore, we need another computation that can streamline data processing time such as parallel computing. Parallel computing can be done on GPUs (Graphical Processing Units) that are run with the help of toolkits such as CUDA (Computer Unified Device Architecture) and OpenCL (Open Computing Language). CUDA can only be run on NVIDIA graphics cards, while OpenCL can be run on all types of graphics cards. This research will compare the performance of parallel computing time between CUDA and OpenCL tested on uncompressed digital images. The digital image tested has several different sizes. The results of the study are expected to be a reference for digital image processing methods.
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