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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-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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Accelerating Spaceborne SAR Imaging Using Multiple CPU/GPU Deep Collaborative Computing
Sensors, 2016 With the development of synthetic aperture radar (SAR) technologies in recent years, the huge amount of remote sensing data brings challenges for real-time imaging processing.
Fan Zhang +4 more
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GPU computing in discrete optimization. Part I: Introduction to the GPU [PDF]
EURO Journal on Transportation and Logistics, 2013 In many cases there is still a large gap between the performance of current optimization technology and the requirements of real world applications. As in the past, performance will improve through a combination of more powerful solution methods and a general performance increase of computers. These factors are not independent.
André R Brodtkorb +2 more
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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
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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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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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