Results 61 to 70 of about 173,867 (186)
Journal of Physics: Conference Series, 2013 Modern graphics processing units (GPUs) are powerful parallel computers. Porting the mathematically intense, parallelizable algorithms of XAFS to run on GPUs should expand the scale of tractable XAFS calculations. Part of a time-limiting subroutine in FEFF 8.4 (fms) was converted to run on a GPU, showing significant performance gains.
K Pedersen, G Bunker
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Gunrock: A High-Performance Graph Processing Library on the GPU
, 2016 For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and the complexity of programming GPUs have been two significant challenges for developing a programmable high-performance graph library.
Cederman D. +7 more
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FROM CPU TO GPU: GPU-BASED ELECTROMAGNETIC COMPUTING (GPUECO) [PDF]
Progress In Electromagnetics Research, 2008 In this paper, we provide a new architecture by using the programmable graphics processing unit (GPU) to move all electro- magnetic computing code to graphical hardware, which significantly accelerates Graphical electromagnetic computing (GRECO) method. We name this method GPUECO.
Yu-Bo Tao, Hai Lin, Hu Jun Bao
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CPU–GPU Utilization Aware Energy-Efficient Scheduling Algorithm on Heterogeneous Computing Systems
IEEE Access, 2020 Nowadays, heterogeneous computing systems have proven to be a good solution for processing computation intensive high-performance applications. The main challenges for such large-scale systems are energy consumption, computing node CPU-GPU utilization ...
Xiaoyong Tang, Zhuojun Fu
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SSRN Electronic Journal, 2013 This paper discusses issues related to GPU for economic problems. It highlights new methodologies and resources that are available for solving and estimating economic models and emphasizes situations when they are useful and others where they are impractical. Two examples illustrate the different ways these GPU parallel methods can be employed to speed
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Parallel Computing Method of Commonly Used Interpolation Algorithms for Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingParallel computing is a common method to accelerate remote sensing image processing. This article briefly describes six commonly used interpolation functions and studies three commonly used parallel computing methods of the corresponding nine ...
Minghu Fan, Xianyu Zuo, Bing Zhou
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GPU Computing: An Introduction
, 2019 The graphics processing unit GPU is a computer chip that performs rapid mathematical calculations. GPU is a ubiquitous device which appears in every computing systems such PC, laptop, desktop, and workstation. It is a many core multithreaded multiprocessor that excels at both graphics and non graphic applications.
Sadiku, Matthew N. O. +2 more
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IMPROVING THE PERFORMANCE OF THE LINEAR SYSTEMS SOLVERS USING CUDA [PDF]
Challenges of the Knowledge Society, 2012 Parallel computing can offer an enormous advantage regarding the performance for very large applications in almost any field: scientific computing, computer vision, databases, data mining, and economics.
BOGDAN OANCEA +2 more
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A Survey of GPU Implementations for Hyperspectral Image Classification in Remote Sensing
Canadian Journal of Remote Sensing, 2018 Effective classification algorithm is a key to extracting interesting and useful information from hyperspectral images (HSI). Many researchers have worked on developing effective algorithms for HSI classifications and research is still ongoing to improve
Ayomide Yusuf, Shadi Alawneh
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Heterogeneous Parallel Computing and Performance Optimization for DSMC/PIC Coupled Simulation Based on MPI+CUDA [PDF]
Jisuanji kexueDSMC/PIC coupled simulation is an important high-performance computing application that demands efficient parallel computing for large-scale simulations.Due to the dynamic injection and migration of particles,DSMC/PIC coupled simulations based on MPI ...
LIN Yongzhen, XU Chuanfu, QIU Haozhong, WANG Qingsong, WANG Zhenghua, YANG Fuxiang, LI Jie
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