Turnitin
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Intermittent-aware neural architecture search
The increasing paradigm shift towards i ntermittent computing has made it possible to
intermittently execute d eep neural network (DNN) inference on edge devices powered by …
intermittently execute d eep neural network (DNN) inference on edge devices powered by …
CODEBench: A neural architecture and hardware accelerator co-design framework
Recently, automated co-design of machine learning (ML) models and accelerator
architectures has attracted significant attention from both the industry and academia …
architectures has attracted significant attention from both the industry and academia …
Unleashing network/accelerator co-exploration potential on fpgas: A deeper joint search
Recently, algorithm-hardware (HW) co-exploration for neural networks (NNs) has become
the key to obtaining high-quality solutions. However, previous efforts for field-programmable …
the key to obtaining high-quality solutions. However, previous efforts for field-programmable …
Rethinking co-design of neural architectures and hardware accelerators
Neural architectures and hardware accelerators have been two driving forces for the
progress in deep learning. Previous works typically attempt to optimize hardware given a …
progress in deep learning. Previous works typically attempt to optimize hardware given a …