Difference between revisions of "GPU621/Jedd Clan"
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*Researchers | *Researchers | ||
*Data Analysts | *Data Analysts | ||
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| + | == Data Analytics Pipeline == | ||
| + | *The Intel® Data Analytics Acceleration Library provides optimized building blocks for the various stages of data analysis | ||
| + | [[File:[[File:Example.jpg]]]] | ||
Revision as of 15:42, 11 August 2021
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
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