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User-Defined Tensor Data Analysis (Paperback, 1st ed. 2021)
Loot Price: R1,783
Discovery Miles 17 830
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User-Defined Tensor Data Analysis (Paperback, 1st ed. 2021)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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Total price: R1,803
Discovery Miles: 18 030
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The SpringerBrief introduces FasTensor, a powerful parallel data
programming model developed for big data applications. This book
also provides a user's guide for installing and using FasTensor.
FasTensor enables users to easily express many data analysis
operations, which may come from neural networks, scientific
computing, or queries from traditional database management systems
(DBMS). FasTensor frees users from all underlying and tedious data
management tasks, such as data partitioning, communication, and
parallel execution. This SpringerBrief gives a high-level overview
of the state-of-the-art in parallel data programming model and a
motivation for the design of FasTensor. It illustrates the
FasTensor application programming interface (API) with an abundance
of examples and two real use cases from cutting edge scientific
applications. FasTensor can achieve multiple orders of magnitude
speedup over Spark and other peer systems in executing big data
analysis operations. FasTensor makes programming for data analysis
operations at large scale on supercomputers as productively and
efficiently as possible. A complete reference of FasTensor includes
its theoretical foundations, C++ implementation, and usage in
applications. Scientists in domains such as physical and
geosciences, who analyze large amounts of data will want to
purchase this SpringerBrief. Data engineers who design and develop
data analysis software and data scientists, and who use Spark or
TensorFlow to perform data analyses, such as training a deep neural
network will also find this SpringerBrief useful as a reference
tool.
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