CPU Parallel Processing and GPU-accelerated Processing of UHD Video Sequence using HEVC
نویسندگان
چکیده
منابع مشابه
Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
Modeling and simulating the neural structures which make up our central neural system is instrumental for deciphering the computational neural cues beneath. Higher levels of biological plausibility usually impose higher levels of complexity in mathematical modeling, from neural to behavioral levels. This paper focuses on overcoming the simulation problems (accuracy and performance) derived from...
متن کاملVideo on Mobile CPU: UHD Video Parallel Decoding for Asymmetric Multicores
This paper proposes a novel High E ciency Video Coding (HEVC) Tile partitioning method for parallel processing by analyzing the computing ability of asymmetric multicores. The proposed method (i) analyzes the computing ability of asymmetric multicores and (ii) makes a regression model of computational complexity per video resolutions. Finally, the model (iii) determines the optimal HEVC Tile re...
متن کاملHEVC Hardware Decoder Implementation for UHD Video Applications
In this paper, an efficient hardware architecture that exploits parallel processing for HEVC decoders is proposed by introducing (i) a Coding Tree Unit (CTU)-level pipelined architecture for single-core based processing; and (ii) a multi-core based parallel processing architecture for picture partition decoding with low latency while not requiring additional resources for in-loop filtering (ILF...
متن کاملGPU-Accelerated Block-Max Query Processing
In this paper, we propose a method for parallel top-k query processing on GPU(s). We employ a novel partitioning strategy which splits the posting lists according to document ID numbers. Individual GPU threads simultaneously perform top-k query processing within their allocated subsets of posting lists, the results of the query are merged to give the final top-k results. We further design a CPU...
متن کاملToward GPU Accelerated Data Stream Processing
In recent years, the need for continuous processing and analysis of data streams has increased rapidly. To achieve high throughput-rates, stream-applications make use of operatorparallelization, batching-strategies and distribution. Another possibility is to utilize co-processors capabilities per operator. Further, the database community noticed, that a columnoriented architecture is essential ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Broadcast Engineering
سال: 2013
ISSN: 1226-7953
DOI: 10.5909/jbe.2013.18.6.816