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| − | In this project I will be using Intel's Data Analytics Library | + | In this project I will be using Intel's Data Analytics Library to Optimizing Image Processing using Parallel computing and Vectorization. |
Revision as of 12:09, 8 March 2023
Optimizing Image Processing using Intel's Data Analytics Library for Parallel computing and Vectorization
Introduction:
In this project I will be using Intel's Data Analytics Library to Optimizing Image Processing using Parallel computing and Vectorization.
Data Analytics Library Overview:
Intel's Data Analytics Library offers a robust collection of tools and algorithms that can assist programmers in building high-performance applications tailored for Intel chips. These tools are designed to interact with various data sources, such as data stored in memory, hard disc, or distributed systems. These functions available in Intel's Data Analytics Library are usable by a broad range of developers because it supports various programming languages, such as C++, Python, and Java. Data Analytics Library offers functionalities for: • Parallel computing. • Vectorization. • Machine learning. • Graph analytics. • Statistical analysis. • Data visualization.
