FEATHER integrates data reordering into its reduction network via a new spatial array (Nest) and multi-stage network (BIRRD) to enable low-overhead dataflow switching in ML accelerators, delivering 1.27-2.89x latency speedup and 1.3-6.43x energy gains versus prior designs at 6% area overhead.
Maestro: A data-centric approach to understand reuse, performance, and hardware cost of dnn mappings,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AR 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching
FEATHER integrates data reordering into its reduction network via a new spatial array (Nest) and multi-stage network (BIRRD) to enable low-overhead dataflow switching in ML accelerators, delivering 1.27-2.89x latency speedup and 1.3-6.43x energy gains versus prior designs at 6% area overhead.