Curzel et al., 2022 - Google Patents

End-to-end synthesis of dynamically controlled machine learning accelerators

Curzel et al., 2022

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Document ID
14632469356037299117
Author
Curzel S
Agostini N
Castellana V
Minutoli M
Limaye A
Manzano J
Zhang J
Brooks D
Wei G
Ferrandi F
Tumeo A
Publication year
Publication venue
IEEE Transactions on Computers

External Links

Snippet

Edge systems are required to autonomously make real-time decisions based on large quantities of input data under strict power, performance, area, and other constraints. Meeting these constraints is only possible by specializing systems through hardware accelerators …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

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