Stream - Multi-core accelerator design space exploration with layer-fused scheduling
Project description
Stream
Stream is a HW architecture-mapping design space exploration (DSE) framework for multi-core deep learning accelerators. The mapping can be explored at different granularities, ranging from classical layer-by-layer processing to fine-grained layer-fused processing. Stream builds on top of the ZigZag DSE framework, found here.
More information with respect to the capabilities of Stream can be found in the following paper:
Install required packages:
> pip install -r requirements.txt
The first run
> cd stream
> python api.py
Documentation
Documentation for Stream is underway!
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