Results 11 to 20 of about 173,867 (186)
Analysis of GPU Computation of Parabolic, Bessel, Wright and Riemann Zeta Functions [PDF]
This paper deals with GPU computing of special mathematical functions that are used in Fractional Calculus. The graphics processing unit (GPU) has grown to be an integral part of nowadays’s mainstream computing structures.
Jadhav Ashish A. +4 more
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A unified schedule policy of distributed machine learning framework for CPU-GPU cluster
With the widespread using of GPU hardware facilities, more and more distributed machine learning applications have begun to use CPU-GPU hybrid cluster resources to improve the efficiency of algorithms.
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Fine-Grained Allocation Algorithm for Sharing Heterogeneous Resources in Data Center
Data in a data center are stored dispersively. The data-oriented task computing disperses big data analysis tasks to different computing nodes. The extensive use of graphics processing unit (GPU) makes it urgent and important to study how to reasonably ...
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Adopting GPU computing to support DL-based Earth science applications
With the advancement of Artificial Intelligence (AI) technologies and accumulation of big Earth data, Deep Learning (DL) has become an important method to discover patterns and understand Earth science processes in the past several years.
Zifu Wang +7 more
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Accelerating NTRU Encryption with Graphics Processing Units [PDF]
Lattice based cryptography is attractive for its quantum computing resistance and efficient encryption/ decryption process. However, the Big Data issue has perplexed most lattice based cryptographic systems since the overall processing is slowed down too
Tianyu Bai +4 more
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Fast reconstruction of X-ray dynamic micro-CT based on GPU parallel computing
BackgroundMassive projection data are produced by user experiments with the X-ray dynamic micro-computed tomography (CT) method on the X-ray imaging beamline at Shanghai synchrotron radiation facility (SSRF).
ZHANG Yuan +5 more
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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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GPU computing performance analysis on matrix multiplication
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]
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]
Graphics 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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