Optimized for Your Hardware
This library is tuned for a broad range of Intel® processors that include Intel Atom®, Intel® Core™, and Intel® Xeon® processors. Since applications may benefit from splitting analytics processing across several platforms, it targets IoT gateways to back-end servers.
For maximum calculation speed, each function is highly tuned to the instruction set, vector width, core count, and memory architecture of each target processor.
Optimized for Developer Productivity
Access advanced Python*, C++, and Java* data analytics functions that span all processing stages. To reduce software development time, they are pre-optimized and ready to use.
This Python analytics library has been accelerated with Intel DAAL to increase performance to common routines and algorithms. For more information, see Tech.Decoded.
Analytics at the Edge or in a Cluster Environment
Batch, streaming, and distributed compute models are supported to cover a range of sizes and performance requirements for application data sets. Mathematical routines in Intel DAAL are built from scratch for efficient processing of incremental learning and master-slave distributed workloads. A unifying API encompasses all of these processing models.