User Defined Tensor Data Analysis is popular PDF and ePub book, written by Bin Dong in 2021-09-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, User Defined Tensor Data Analysis can be Read Online from any device for your convenience.

User Defined Tensor Data Analysis Book PDF Summary

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.

Detail Book of User Defined Tensor Data Analysis PDF

User Defined Tensor Data Analysis
  • Author : Bin Dong
  • Release : 29 September 2021
  • Publisher : Springer Nature
  • ISBN : 9783030707507
  • Genre : Computers
  • Total Page : 111 pages
  • Language : English
  • PDF File Size : 7,6 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book User Defined Tensor Data Analysis by Bin Dong, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

User Defined Tensor Data Analysis

User Defined Tensor Data Analysis Author : Bin Dong,Kesheng Wu,Suren Byna
Publisher : Springer Nature
File Size : 29,7 Mb
Get Book
The SpringerBrief introduces FasTensor, a powerful parallel data programming model developed for big...

Guide to Industrial Analytics

Guide to Industrial Analytics Author : Richard Hill,Stuart Berry
Publisher : Springer Nature
File Size : 27,6 Mb
Get Book
This textbook describes the hands-on application of data science techniques to solve problems in man...

Tensor Computation for Data Analysis

Tensor Computation for Data Analysis Author : Yipeng Liu,Jiani Liu,Zhen Long,Ce Zhu
Publisher : Springer Nature
File Size : 38,9 Mb
Get Book
Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid poss...