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Improving Software Performance in the Compute Unified Device Architecture [PDF]
Informatică economică, 2010 This paper analyzes several aspects regarding the improvement of software performance for applications written in the Compute Unified Device Architecture CUDA).
Alexandru PIRJAN
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Survey on GPGPU and CUDA Unified Memory Research Status [PDF]
Jisuanji gongchengIn the context of big data, the rapid advancement of fields such as scientific computing and artificial intelligence, there is an increasing demand for high computational power across various domains.
PANG Wenhao, WANG Jialun, WENG Chuliang
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Open Computer Science, 2016 The ready to use set of functions to facilitate solving a generalized eigenvalue problem for symmetric matrices in order to efficiently calculate eigenvalues and eigenvectors, using Compute Unified Device Architecture (CUDA) technology from NVIDIA, is ...
Syrocki Łukasz, Pestka Grzegorz
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High Performance Processing and Analysis of Geospatial Data Using CUDA on GPU
Advances in Electrical and Computer Engineering, 2014 In this paper, the high-performance processing of massive geospatial data on many-core GPU (Graphic Processing Unit) is presented. We use CUDA (Compute Unified Device Architecture) programming framework to implement parallel processing of common ...
STOJANOVIC, N., STOJANOVIC, D.
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The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture [PDF]
Database Systems Journal, 2010 Considering the importance and usefulness of real time data mining, in recent years the concern of researchers to discover new hardware architectures that can manage and process large volumes of data has increased significantly.
Alexandru PIRJAN
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Curve-Fitting on Graphics Processors Using Particle Swarm Optimization [PDF]
International Journal of Computational Intelligence Systems, 2014 Curve fitting is a fundamental task in many research fields. In this paper we present results demonstrating the fitting of 2D images using CUDA (compute unified device architecture) on NVIDIA graphics processors via particle swarm optimization (PSO ...
R. T. Kneusel
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Real-time Decompression Processing Technology of Landsat8 Based on GPU [PDF]
Jisuanji gongcheng, 2016 According to the features of downlink data of Landsat8 as well as the RICE lossless data compression algorithm and the CUDA programming technology,a real-time decompression processing system bsed on Graphic Processing Unit(GPU) is proposed.It adopts ...
YANG Renzhong,ZHANG Jie,WEI Hongwei,SHI Lu
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GPU Computing with Python: Performance, Energy Efficiency and Usability
Computation, 2020 In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU).
Håvard H. Holm +2 more
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Calculating the Moore–Penrose Generalized Inverse on Massively Parallel Systems
Algorithms, 2022 In this work, we consider the problem of calculating the generalized Moore–Penrose inverse, which is essential in many applications of graph theory.
Vukašin Stanojević +4 more
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Analysis on the AES Implementation with Various Granularities on Different GPU Architectures
Advances in Electrical and Electronic Engineering, 2017 The Advanced Encryption Standard (AES) is One of the most popular symmetric block cipher because it has better efficiency and security. The AES is computation intensive algorithm especially for massive transactions.
Ahmed Awadalla Abdelrahman +2 more
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