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Sungchul Lee, Ju-Yeon Jo and Yoohwan Kim
Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance o...
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Chi-Hsiu Su and Chin-Hsien Wu
Compared with the traditional hard-disk drives (HDDs), solid-state drives (SSDs) have adopted NAND flash memory and become the current popular storage devices. However, when the free space in NAND flash memory is not enough, the garbage collection will b...
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Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy, Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Evan Baumgartner, Eade Vanderhoof, Audrey Facer, Manish Singh, Abina Arshad and Esam El-Araby
Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major compon...
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Youmeng Luo, Wei Li, Xiaoyu Ma and Kaiqiang Zhang
With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of...
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Sardar Anisul Haque, Mohammad Tanvir Parvez and Shahadat Hossain
Matrix?matrix multiplication is of singular importance in linear algebra operations with a multitude of applications in scientific and engineering computing. Data structures for storing matrix elements are designed to minimize overhead information as wel...
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Qinghai Li and Chang Wu Yu
For many parallel and distributed systems, automatic data redistribution improves its locality and increases system performance for various computer problems and applications. In general, an array can be distributed to multiple processing systems by usin...
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Jiwei Qin, Liangli Ma and Jinghua Niu
The rapid development of distributed technology has made it possible to store and query massive trajectory data. As a result, a variety of schemes for big trajectory data management have been proposed. However, the factor of data transmission is not cons...
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Ron Mahabir, Arie Croitoru, Andrew T. Crooks, Peggy Agouris and Anthony Stefanidis
Slums are a global urban challenge, with less developed countries being particularly impacted. To adequately detect and map them, data is needed on their location, spatial extent and evolution. High- and very high-resolution remote sensing imagery has em...
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Ron Mahabir, Arie Croitoru, Andrew T. Crooks, Peggy Agouris and Anthony Stefanidis
Slums are a global urban challenge, with less developed countries being particularly impacted. To adequately detect and map them, data is needed on their location, spatial extent and evolution. High- and very high-resolution remote sensing imagery has em...
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Hua Jiang, Junfeng Kang, Zhenhong Du, Feng Zhang, Xiangzhi Huang, Renyi Liu and Xuanting Zhang
Faced with the rapid growth of vector data and the urgent requirement of low-latency query, it has become an important and timely challenge to effectively achieve the scalable storage and efficient access of vector big data. However, a systematic method ...
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Germán Ceballos,Andra Hugo,Erik Hagersten,David Black-Schaffer
Pág. 91 - 98
The complex memory hierarchies of nowadays machines make it very difficult to estimate the execution time of the tasks as depending on where the data is placed in memory, tasks of the same type may end up having different performance. Multiple scheduling...
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Laila Bouhouch, Mostapha Zbakh and Claude Tadonki
The development of big data has generated data-intensive tasks that are usually time-consuming, with a high demand on cloud data centers for hosting big data applications. It becomes necessary to consider both data and task management to find the optimal...
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Mehreen Tahir and Muhammad Intizar Ali
Federated Learning (FL) is a state-of-the-art technique used to build machine learning (ML) models based on distributed data sets. It enables In-Edge AI, preserves data locality, protects user data, and allows ownership. These characteristics of FL make ...
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Gaetano Ortolano, Alberto D?Agostino, Mario Pagano, Roberto Visalli, Michele Zucali, Eugenio Fazio, Ian Alsop and Rosolino Cirrincione
ArcStereoNet is a new ArcGIS® based toolbox for stereographic projections that we implement here using Python 2.7 programming language. The reason to develop another stereographic projection package arises from the recent use of Python as an exclusive pr...
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Jiwei Qin, Liangli Ma and Qing Liu
In recent years positioning sensors have become ubiquitous, and there has been tremendous growth in the amount of trajectory data. It is a huge challenge to efficiently store and query massive trajectory data. Among the typical operation over trajectorie...
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Tao Ju, Xiaoshe Dong, Heng Chen and Xingjun Zhang
Many-core processors are becoming mainstream computing platforms nowadays. How to map the application threads to specific processing cores and exploit the abundant hardware parallelism of a many-core processor efficiently has become a pressing need. This...
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Ansie Dippenaar-Schoeman, Almie van den Berg, Robin Lyle, Charles Haddad, Stefan Foord, Leon Lotz
Pág. 7 bladsye
The South African National Survey of Arachnida (SANSA) was initiated in 1997 by?the Agricultural Research Council (ARC), with the main aim of documenting the Arachnid?fauna of South Africa at a national level. Through their Endangered Species Prog...
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Thomas Wilson, Miles Grafton and Matthew Irwin
The New Zealand Emissions Trading Scheme allows landowners to be remunerated for the carbon sequestration capabilities of eligible forests established post 1990. For afforested areas of 100 hectares or fewer, carbon sequestration is estimated with the us...
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Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem, Sidi Ahmed Mahmoudi and Aurélie Cools
Indexing images by content is one of the most used computer vision methods, where various techniques are used to extract visual characteristics from images. The deluge of data surrounding us, due the high use of social and diverse media acquisition syste...
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