Python* API Reference for Intel® Data Analytics Acceleration Library 2019
Main module.
Namespaces | |
algorithms | |
algorithms | |
Classes | |
class | Base |
Base class for Intel(R) Data Analytics Acceleration Library objects More... | |
Variables | |
batch = ... | |
distributed = ... | |
online = ... | |
step1Local = ... | |
step2Master = ... | |
step3Local = ... | |
step4Local = ... | |
step2Local = ... | |
step3Master = ... | |
step5Master = ... | |
dram = ... | |
mcdram = ... | |
batch = ... |
Batch processing computation mode
distributed = ... |
Processing of data sets distributed across several devices
dram = ... |
DRAM
mcdram = ... |
Multi-Channel DRAM
online = ... |
Online mode - processing of data sets in blocks
step1Local = ... |
First step of the distributed processing mode
step2Local = ... |
Second step of the distributed processing mode performed by local node
step2Master = ... |
Second step of the distributed processing mode
step3Local = ... |
Third step of the distributed processing mode
step3Master = ... |
Third step of the distributed processing mode performed by master node
step4Local = ... |
Fourth step of the distributed processing mode
step5Master = ... |
Fifth step of the distributed processing mode performed by master node
For more complete information about compiler optimizations, see our Optimization Notice.