NAAS: Neural Accelerator Architecture Search

Data-driven, automatic design space exploration of neural accelerator architecture is desirable for specialization and productivity. Previous frameworks focus on sizing the numerical architectural hyper-parameters while neglect searching the PE connectivities and compiler mappings. To tackle this ch...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 1051 - 1056
Main Authors:	Lin, Yujun, Yang, Mengtian, Han, Song
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Accelerator architectures Costs Design automation Neural networks Optimization Productivity Space exploration
Online Access:	Get full text
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