Contributions to Books:
I. Murturi:
"Transforming the Method of Least Squares to the Dataflow Paradigm";
in: "Handbook of Research on Methodologies and Applications of Supercomputing",
V. Milutinovic, M. Kotlar (ed.);
IGI Global,
2021,
ISBN: 9781799871569,
114
- 121.
English abstract:
In mathematical statistics, an interesting and common problem is finding the best linear or non-linear regression equations that express the relationship between variables or data. The method of least squares (MLS) represents one of the oldest procedures among multiple techniques to determine the best fit line to the given data through simple calculus and linear algebra. Notably, numerous approaches have been proposed to compute the least-squares. However, the proposed methods are based on the control flow paradigm. As a result, this chapter presents the MLS transformation from control flow logic to the dataflow paradigm. Moreover, this chapter shows each step of the transformation, and the final kernel code is presented.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.4018/978-1-7998-7156-9.ch008
Created from the Publication Database of the Vienna University of Technology.