Results 291 to 300 of about 14,041 (338)
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Fast motion estimation for HEVC on graphics processing unit (GPU)
Journal of Real-Time Image Processing, 2015The recent video compression standard, HEVC (high efficiency video coding), will most likely be used in various applications in the near future. However, the encoding process is far too slow for real-time applications. At the same time, computing capabilities of GPUs (graphics processing units) have become more powerful in these days. In this paper, we
Dong-Kyu Lee +3 more
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Fast evaluation of Helmholtz potential on graphics processing units (GPUs)
Journal of Computational Physics, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shaojing Li +2 more
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A trigger system based on Graphics Processing Unit (GPU)
2010 17th IEEE-NPSS Real Time Conference, 2010We discuss the possible use of GPUs (Graphics Processing Unit) in the all-digital trigger and data acquisition (TDAQ) chain of the NA62 experiment at CERN. The exponentially growing interest in using GPUs for general purpose applications is based on the impressive performances achieved (peak performance already exceeding the Teraflop/s), on the high ...
COLLAZUOL, GIANMARIA +2 more
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The Realm of Graphical Processing Unit (GPU) Computing
2018The goal of the chapter is to introduce the upper-level Computer Engineering/Computer Science undergraduate (UG) students to general-purpose graphical processing unit (GPGPU) computing. The specific focus of the chapter is on GPGPU computing using the Compute Unified Device Architecture (CUDA) C framework due to the following three reasons: (1) Nvidia ...
Vivek K. Pallipuram, Jinzhu Gao
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CUDA accelerated iris template matching on Graphics Processing Units (GPUs)
2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2010In this paper we develop a parallelized iris template matching implementation on inexpensive Graphics Processing Units (GPUs) with Nvidia's CUDA programming model to achieve matching rates of 44 million iris template comparisons per second without rotation invariance.
Nicholas A. Vandal, Marios Savvides
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GPU-PRISM: An Extension of PRISM for General Purpose Graphics Processing Units
2010 Ninth International Workshop on Parallel and Distributed Methods in Verification, and Second International Workshop on High Performance Computational Systems Biology, 2010We present an extension of the model checker PRISM for (general purpose) graphics processing units (GPUs). The extension is based on parallel algorithms for probabilistic model checking which are tuned for GPUs. In particular, we parallelize the parts of the algorithms that boil down to linear algebraic operations, like solving systems of linear ...
Bosnacki, D. +3 more
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Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)
2013 IEEE 27th International Symposium on Parallel and Distributed Processing, 2013Graphics processing units (GPUs) offer significant speedups over CPUs for certain classes of applications. However, programming for GPUs is challenging. There are many parameters that affect performance and their values may change depending on both problem instance and GPU hardware specifics. In addition, most GPU kernels are compiled once; performance
Nicholas Moore +2 more
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Data Streaming Processing Window Joined With Graphics Processing Units (GPUs)
2021Big data is large-scale data and can be either discrete or continuous. This article entails research that discusses the continuous case of big data often called “data streaming.” More and more businesses will depend on being able to process and make decisions on streams of data. This article utilizes the algorithmic side of data stream processing often
Shen Lu, Richard S. Segall
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Feature‐Preserving Displacement Mapping With Graphics Processing Unit (GPU) Tessellation
Computer Graphics Forum, 2012AbstractDisplacement mapping reconstructs a high‐frequency surface by adding geometric details encoded in the displacement map to the coarse base surface. In the context of hardware tessellation supported by GPUs, this paper aims at feature‐preserving surface reconstruction, and proposes the generation of a displacement map that displaces more vertices
Han-Young Jang, JungHyun Han
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Data-intensive document clustering on graphics processing unit (GPU) clusters
Journal of Parallel and Distributed Computing, 2011Document clustering is a central method to mine massive amounts of data. Due to the explosion of raw documents generated on the Internet and the necessity to analyze them efficiently in various intelligent information systems, clustering techniques have reached their limitations on single processors.
Yongpeng Zhang +3 more
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