GPU computing performance analysis on matrix multiplication
The Journal of Engineering, 2019 The machine learning has been widely used in intelligent data mining. The high-computational complexity of machine learning and huge data volume present challenges to computing platforms.
Zhibin Huang +3 more
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GPU-Acceleration of Sequence Homology Searches with Database Subsequence Clustering. [PDF]
PLoS ONE, 2016 Sequence homology searches are used in various fields and require large amounts of computation time, especially for metagenomic analysis, owing to the large number of queries and the database size.
Shuji Suzuki +3 more
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Design of Heterogeneous Graph Computing System for Large-Scale Dynamic Graph [PDF]
Jisuanji gongchengGraphics Processing Unit (GPU) is not fully utilized when processing large-scale dynamic graphs, and the limitations of GPU-oriented graph partitioning methods lead to performance bottlenecks.
ZHANG Ming, GUO Wenkang, WANG Haifeng
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Photonics, 2023 The computing power network (CPN) is expected to realize the efficient provisioning of heterogeneous computing power through the collaboration between cloud computing and edge computing.
Yahui Wang +8 more
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Parallel VINS-Mono algorithm based on GPUs in embedded devices
International Journal of Advanced Robotic Systems, 2022 Traditional visual-inertial simultaneous localization and mapping algorithms are usually designed based on CPUs, and they cannot effectively utilize the parallel computing function of GPUs if they are directly transplanted to an embedded board with a GPU
Quan Lu +3 more
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Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU) [PDF]
, 2009 We use a graphics processing unit (GPU) for fast calculations of helicity amplitudes of quark and gluon scattering processes in massless QCD. New HEGET ({\bf H}ELAS {\bf E}valuation with {\bf G}PU {\bf E}nhanced {\bf T}echnology) codes for gluon self ...
C. Amsler +12 more
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GPU-HADVPPM4HIP V1.0: using the heterogeneous-compute interface for portability (HIP) to speed up the piecewise parabolic method in the CAMx (v6.10) air quality model on China's domestic GPU-like accelerator [PDF]
Geoscientific Model DevelopmentGraphics processing units (GPUs) are becoming a compelling acceleration strategy for geoscience numerical models due to their powerful computing performance.
K. Cao +15 more
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Nuclear Engineering and Technology, 2023 Virtual reality technology has been widely used in the field of nuclear and radiation safety, dose rate computing in virtual environment is essential for optimizing radiation protection and planning the work in radioactive-controlled area.
Zhihui Xu +3 more
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Current Prediction Model of GPU Oriented to General Purpose Computing
IEEE Access, 2019 In order to reduce the complexity of energy consumption analysis in GPU general computing and solve the dependence of energy consumption analysis on hardware tools, a GPU general-purpose computing current prediction model was proposed based on the ...
Deyu Zhao, Qingkui Chen
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AUTOMATED EXTRACTION OF LIVER OUTLINES FROM COMPUTED TOMOGRAPHY SCAN IMAGES USING A CUDA-BASED SEGMENTATION METHOD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The traditional fast marching algorithm for segmentation of the liver is suitable for processing on the central processing unit (CPU) platform, however, it is not suitable for implementation on Graphics Processing Unit (GPU).
Y. Chen, D. Li, Q. Zhu, C. Wang, J. Li
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