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Cognified Distributed Computing [PDF]
Cognification – the act of transforming ordinary objects or processes into their intelligent counterparts through Data Science and Artificial Intelligence – is a disruptive technology that has been revolutionizing disparate fields ranging from corporate law to medical diagnosis.
Ozalp Babaoglu, Alina Sirbu
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Distributed Computing With the Cloud [PDF]
Abstract We investigate the effect of omnipresent cloud storage on distributed computing. To this end, we specify a network model with links of prescribed bandwidth that connect standard processing nodes, and, in addition, passive storage nodes. Each passive node represents a cloud storage system, such as Dropbox, Google Drive etc.
Yehuda Afek +2 more
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Distributed computing for macromolecular crystallography [PDF]
Martyn Winn +2 more
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High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks.
Rosa M. Badia +3 more
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High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks.
Rosa M. Badia +3 more
doaj +1 more source
Structured grid-based sparse matrix-vector multiplication and Gauss–Seidel iterations are very important kernel functions in scientific and engineering computations, both of which are memory intensive and bandwidth-limited.
Yang Wang +5 more
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A Robust and Effective Two-Factor Authentication (2FA) Protocol Based on ECC for Mobile Computing
The rapid development of mobile computing (e.g., mobile health, mobile payments, and smart homes) has brought great convenience to our lives. It is well-known that the security and privacy of user information from these applications and services is ...
Kaijun Liu +7 more
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CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research [PDF]
Marc-Etienne Rousseau +2 more
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From distributed sequential computing to distributed parallel computing [PDF]
One approach to distributed parallel programming is to utilize self-migrating threads. Computations can be distributed first, and parallelized second. The first step produces a distributed sequential thread, which can be incrementally parallelized by the second step.
Lei Pan 0001 +3 more
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Dimensionality Reduction for Human Activity Recognition Using Google Colab
Human activity recognition (HAR) is a classification task that involves predicting the movement of a person based on sensor data. As we can see, there has been a huge growth and development of smartphones over the last 10–15 years—they could be used as a
Sujan Ray +2 more
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