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User-Defined Tensor Data Analysis

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-3-030-70750-7

ISBN: 978-3-030-70749-1

Publisher: Springer International Publishing - Springer Journals

Feb 22, 2021

Available

Introduction

Dong, Bin; Wu, Kesheng; Byna, Suren

Pages: 1 –8

[The success of an online business depends on its ability to gather and process a large amount of data. Scientific researches require similarly advanced data analysis tools to process their data. This book is about one such tool named FasTensor. In this chapter, we explore the core concepts...
Available

FasTensor Programming Model

Dong, Bin; Wu, Kesheng; Byna, Suren

Pages: 9 –22

[In the previous chapter, we have introduced the motivation for a big data analysis system and its essential components: data model and programming model. We have also clearly stated the reasons why FasTensor chooses the multi-dimensional array as its data model. In this chapter, we continue to...
Available

FasTensor User Interface

Dong, Bin; Wu, Kesheng; Byna, Suren

Pages: 23 –71

[In this chapter, we describe the user interface of the FasTensor library, a C++ implementation of the FasTensor programming model presented in previous chapters. Hence, the term FasTensor will mostly refer to the FasTensor library that implements the FasTensor programming model. Currently, the...
Available

FasTensor in Real Scientific Applications

Dong, Bin; Wu, Kesheng; Byna, Suren

Pages: 73 –84

[In this chapter, we describe two scientific applications to demonstrate the capability of FasTensor. The first application is from the earth science, where we show how FasTensor implement the self-similarity computation to detect useful signal from the data collected with distributed acoustic...

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