Bouzidi et al., 2023 - Google Patents
Map-and-conquer: Energy-efficient mapping of dynamic neural nets onto heterogeneous mpsocsBouzidi et al., 2023
View PDF- 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 …
Classifications
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- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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