GPU621/Jedd Clan

Project Name

Intel Data Analytics Acceleration Library

Group Members

Jedd Chionglo Gabriel Dizon

Features

• Produce quicker and better predictions
• Analyze large datasets with available computer resources
• Optimize data ingestion and algorithmic compute simultaneously
• Supports offline, distributed, and streaming usage models
• Handles big data better than libraries such as Intel’s Math Kernel Library (MKL)
• Maximum Calculation Performance
• High-Speed Algorithms

Users of the Library

• Data Scientist
• Researchers
• Data Analysts

Data Analytics Pipeline

• The Intel® Data Analytics Acceleration Library provides optimized building blocks for the various stages of data analysis