Results 11 to 20 of about 35,296 (265)
ISPRS International Journal of Geo-Information, 2023 Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges.
Guiming Zhang, Jin Xu
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Computing Treewidth on the GPU
CoRR, 2017 We present a parallel algorithm for computing the treewidth of a graph on a GPU. We implement this algorithm in OpenCL, and experimentally evaluate its performance. Our algorithm is based on an $O^*(2^{n})$-time algorithm that explores the elimination orderings of the graph using a Held-Karp like dynamic programming approach.
Tom C. van der Zanden +1 more
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GPU computing for systems biology [PDF]
Briefings in Bioinformatics, 2010 The development of detailed, coherent, models of complex biological systems is recognized as a key requirement for integrating the increasing amount of experimental data. In addition, in-silico simulation of bio-chemical models provides an easy way to test different experimental conditions, helping in the discovery of the dynamics that regulate ...
L. Dematte, Prandi, Davide
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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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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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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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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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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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