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Proceedings of the IEEE, 2008 The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing systems. Over the past six years, therehas been a marked increase in the performance and capabilities ofGPUs. The modern GPU is not only a powerful graphics engine but also ahighly-parallel programmable processor featuring peak arithmetic andmemory bandwidth ...
John D Owens +2 more
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GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments
Frontiers in Big Data, 2021 Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive.
Burt Holzman +2 more
exaly +3 more sources
Analysis of GPU Computation of Parabolic, Bessel, Wright and Riemann Zeta Functions [PDF]
ITM Web of Conferences, 2021 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
Xibei Gongye Daxue Xuebao, 2021 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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IEEE Transactions on Parallel and Distributed Systems, 2022 In Mathematical Morphology, the max-tree is a region-based representation that encodes the inclusion relationship of the threshold sets of an image. This tree has proved useful in numerous image processing applications. For the last decade, work has led to improving the construction time of this structure; mixing algorithmic optimizations, parallel and
Blin, Nicolas +4 more
openaire +2 more sources
Fine-Grained Allocation Algorithm for Sharing Heterogeneous Resources in Data Center
Xibei Gongye Daxue Xuebao, 2020 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
International Journal of Digital Earth, 2023 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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Fast reconstruction of X-ray dynamic micro-CT based on GPU parallel computing
He jishu, 2021 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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WTF, GPU! computing twitter's who-to-follow on the GPU [PDF]
Proceedings of the second ACM conference on Online social networks, 2014 In this paper, we investigate the potential of GPUs for performing link structure analysis of social graphs. Specifically, we implement Twitter's WTF ("Who to Follow") recommendation system on a single GPU. Our implementation shows promising results on moderate-sized social graphs. It can return the top-K relevant users for a single user in 172 ms when
Geil, Afton +2 more
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Accelerating NTRU Encryption with Graphics Processing Units [PDF]
International Journal of Networked and Distributed Computing (IJNDC), 2014 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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