SPARSITY-BASED NEURAL NETWORK MAPPING TO COMPUTING UNITS IN A SYSTEM-ON-CHIP

SPARSITY-BASED NEURAL NETWORK MAPPING TO COMPUTING UNITS IN A SYSTEM-ON-CHIP

A method for an artificial neural network includes receiving a set of input values to be convolved with multiple kernels via multiple computing units. One or more thermally-stressed computing units of the multiple computing units are determined. The multiple kernels are mapped to the multiple comput...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: VERRILLI, Colin Beaton, PARK, Hee Jun
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A method for an artificial neural network includes receiving a set of input values to be convolved with multiple kernels via multiple computing units. One or more thermally-stressed computing units of the multiple computing units are determined. The multiple kernels are mapped to the multiple computing units of a system-on-chip (SOC) based on the one or more thermally-stressed computing units. A convolution is performed on the set of input values and a most sparse kernel of the multiple kernels on the most thermally-stressed computing unit.