GPU-Accelerated Parallel Intra Prediction for High-Efficiency Video Coding (HEVC)

GPU-Accelerated Parallel Intra Prediction for High-Efficiency Video Coding (HEVC) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article GPU-Accelerated Parallel Intra Prediction for High-Efficiency Video Coding (HEVC) Mücahit Kaplan, Ali Akman This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7897415/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The increasing demand for high-resolution and real-time video applications has made efficient and accelerated compression methods crucial. While the High Efficiency Video Coding (HEVC) standard significantly reduces the bit rate compared to previous systems, it incurs high computational costs, particularly in the intra prediction and transformation stages. This study presents a GPU-accelerated parallel intra prediction and discrete cosine transform (DCT) application for the HEVC standard. The proposed method increases processing efficiency by utilizing CUDA-based thread-level parallelism and shared memory optimization. All 35 intra prediction modes can be computed simultaneously on GPU threads; additionally, two different GPU-based DCT variants are proposed to reduce memory access latency. Experiments conducted on the NVIDIA Jetson Xavier NX platform demonstrate up to 162x speedup compared to CPU implementations while preserving PSNR and visual quality metrics. The integration of parallel intra prediction and DCT into a single GPU-optimized pipeline demonstrates the high potential of the proposed approach for real-time visual computing, embedded imaging systems, and high-performance image processing applications. The source code and dataset used in the study have been made openly available on the Zenodo platform to ensure transparency and reproducibility (DOI: 10.5281/zenodo.17286247 ). HEVC DCT GPU Parallel Processing Video Compression Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7897415","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":551612966,"identity":"933c5345-d55c-40d0-800a-f6231feb2a5e","order_by":0,"name":"Mücahit 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While the High Efficiency Video Coding (HEVC) standard significantly reduces the bit rate compared to previous systems, it incurs high computational costs, particularly in the intra prediction and transformation stages. This study presents a GPU-accelerated parallel intra prediction and discrete cosine transform (DCT) application for the HEVC standard. The proposed method increases processing efficiency by utilizing CUDA-based thread-level parallelism and shared memory optimization. All 35 intra prediction modes can be computed simultaneously on GPU threads; additionally, two different GPU-based DCT variants are proposed to reduce memory access latency. Experiments conducted on the NVIDIA Jetson Xavier NX platform demonstrate up to 162x speedup compared to CPU implementations while preserving PSNR and visual quality metrics. 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