Difference between revisions of "GPU621/Jedd Clan"
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== Features == | == Features == | ||
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*Optimize data ingestion and algorithmic compute simultaneously | *Optimize data ingestion and algorithmic compute simultaneously | ||
*Supports offline, distributed, and streaming usage models | *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 | ||
Revision as of 16:36, 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
