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Distributed computing for macromolecular crystallography. [PDF]
Acta Crystallogr D Struct Biol, 2018 Modern crystallographic computing is characterized by the growing role of automated structure-solution pipelines, which represent complex expert systems utilizing a number of program components, decision makers and databases. They also require considerable computational resources and regular database maintenance, which is increasingly more difficult to
Krissinel E +4 more
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ACM SIGACT News, 2001 The Distributed Computing Column covers the theory of systems that are composed of a number of interacting computing elements. These include problems of communication and networking, databases, distributed shared memory, multiprocessor architectures, operating systems, verification, internet, and the web.
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Distributed Computing With the Cloud [PDF]
Distributed Computing, 2021 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.
Afek, Yehuda +2 more
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Open Research Europe, 2023 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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Open Research Europe, 2022 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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Applied Sciences, 2023 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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Cognified Distributed Computing [PDF]
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018 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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A Robust and Effective Two-Factor Authentication (2FA) Protocol Based on ECC for Mobile Computing
Applied Sciences, 2023 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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On the computation of a bivariate 𝑡-distribution [PDF]
Mathematics of Computation, 1969 The cumulative bivariate t t -distribution associated with random variables T 1 = X 1 / ( S / k )
W. G. Bulgren, D. E. Amos
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Dimensionality Reduction for Human Activity Recognition Using Google Colab
Information, 2020 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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