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Bouzidi et al., 2023 - Google Patents

Map-and-conquer: Energy-efficient mapping of dynamic neural nets onto heterogeneous mpsocs

Bouzidi et al., 2023

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Document ID
5284343497521872453
Author
Bouzidi H
Odema M
Ouarnoughi H
Niar S
Al Faruque M
Publication year
Publication venue
2023 60th ACM/IEEE Design Automation Conference (DAC)

External Links

Snippet

Heterogeneous MPSoCs comprise diverse processing units of varying compute capabilities. To date, the mapping strategies of neural networks (NNs) onto such systems are yet to exploit the full potential of processing parallelism, made possible through both the intrinsic …
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Classifications

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    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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