Combining Evolutionary Algorithms and Deep Learning for Hardware/Software Interface Optimization
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
Workshop on Machine Learning for CAD (MLCAD)
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
With the advancement of Internet of Things, the
cost of System-on-Chips (in terms of area, performance, etc.)
becomes increasingly relevant for realizing affordable as well as
performant devices. Although System-on-Chips are very diverse
with respect to specifications and requirements, some components
are ubiquitous. One of them is the Hardware/Software Interface,
which serves for controlling communication and interconnected
functionalities between Hardware and Software. Motivated by
their common use, the implementation of optimized interfaces towards certain costs (in terms of area, performance, etc.) becomes
a central problem in the design of embedded systems. In this
work we introduce a novel optimization method for minimizing
the cost of Hardware/Software Interfaces using Convolutional
Neural Networks coupled with Evolutionary Algorithms.
Forschungs-