Holla, R.Mhala, N.C.Pais, A.R.2026-02-052022International Journal of Computers and Applications, 2022, 44, 6, pp. 552-5601206212Xhttps://doi.org/10.1080/1206212X.2020.1830246https://idr.nitk.ac.in/handle/123456789/22907Visual Secret Sharing (VSS) is a technique used for sharing secret images between users. The existing VSS schemes reconstruct the original secret image as a halftone image with only a 50% contrast. The Randomized Visual Secret Sharing (RVSS) scheme overcomes the disadvantages of existing VSS schemes. Although RVSS extracts the secret image with better contrast, it is computationally expensive. This paper proposes a General Purpose Graphics Processing Unit (GPGPU)-based Randomized Visual Secret Sharing (GRVSS) technique that leverages data parallelism in the RVSS pipeline. The performance of the GRVSS is compared with the RVSS in a generic and PARAM Shavak supercomputer architecture. The GRVSS outperforms the RVSS in both architectures. © 2020 Informa UK Limited, trading as Taylor & Francis Group.Computer graphicsGraphics processing unitProgram processorsSupercomputersColour imageData parallelismGeneral purpose graphics processing unit (GPGPU)Gray scaleHalftone imagesSecret imagesVisual secret sharingImage processing