13
edits
Changes
no edit summary
=== What can you do with it? ===
Intel Data Analytics Acceleration Library is a toolkit specifically designed to provide the user the tools it needs to optimize compute-intense applications that use intel architecture. This involves analysing analyzing datasets with the limited compute resources the user has available, optimize predictions created by systems to make them run faster, optimize data ingestion and algorithmic compute simultaneously. All of this while still being able to be used in offline, streaming or even distributed models allowing you to download the library or use it from cloud.
=== Features ===
==== Performance ====
Intel Data Analytics Acceleration Library is a high specialized toolkit that uses specific algorithms to analyseanalyze, train, predict or process the datasets given to it. This allows the user to algorithm and function to write data in order to maximize the performance. Each algorithm within Intel Data Analytics Acceleration Library is highly specialized for very specific scenarios ensuring that every single resource available is used to it's full potential.
==== Portability ====
Intel Data Analytics Acceleration Library addresses all stages of data analytics pipeline, it pre-processes the data, transforms it, analyses it, models, validates and makes decisions based on the dataset given to it.
[[File:IDAAL_Benchmark.png|Left|1200px]]
==== Conclusion ====
The Intel Data Analytics Acceleration Library is a great tool to use if we are looking for something to maximize preformance performance speed while still being able to process large amounts of data without losing accuracy. Due to it's flexible nature it can be run within the cloud which allows users to access large amounts of compute power from their home. The Intel Data Analytics Acceleration Library is a part of the OneAPI Base Toolkit and is often updated to ensure it's continued reliability.
