Introduction to Intel DAAL, Part 1: Polynomial Regression with Batch Mode Computation

This is the part 1 of 3 of an introductory series of publications on the Intel Data Analytics Acceleration Library (DAAL). DAAL is a data analytics library optimized for modern highly parallel computer architectures such as Intel Xeon and Intel Xeon Phi processors. The goal of this series is to provide developers a technical overview for developing applications using DAAL.

In this paper we focus on two aspects of developing an application with Intel DAAL: data management and computation. As a practical example, we implement a simple machine learning application with polynomial regression using the library in the batch computation mode. We demonstrate using this application for data-based prediction of hydrodynamics properties of yachts. The source code and data for the sample application are available for free download.

The second and third part of the series will discuss other aspects of data analysis with DAAL. In part 2, we discuss distributed data and computation in conjunction with MPI. In the third part, we discuss the case with multiple data sets and interfacing with a relational database using SQL.

Complete paper:
 Colfax_Introduction_to_Intel_DAAL_1.pdf (378 KB) — this file is available only to registered users. Register or Log In.

Sample code for Linux: (5 KB) — this archive is available only to registered users. Register or Log In.