A new performance-modeling and search tool, Polaris, uses transfer learning and online RTL simulation to find deep learning accelerator designs with 2.7x lower energy-delay product than the prior DOSA tool.
Challenges/Opportunities to Enable Dependable Scale-out System with Groq Deterministic Tensor-Streaming Processors,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AR 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Polaris: Multi-Fidelity Design Space Exploration of Deep Learning Accelerators
A new performance-modeling and search tool, Polaris, uses transfer learning and online RTL simulation to find deep learning accelerator designs with 2.7x lower energy-delay product than the prior DOSA tool.