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Onnx-to-hardware design flow for adaptive neural-network inference on fpgas
The challenges involved in executin Neural Networks (NNs) at the edge include providing
diversity, flexibility, and sustainability. That implies, for instance, supporting evolving …
diversity, flexibility, and sustainability. That implies, for instance, supporting evolving …
Edge-to-Cloud Continuum Orchestrator for Distributed Video Applications
The current paper presents the implementation of an orchestrator for distributed edge-to-
cloud systems based on heterogeneous nodes in urban environments. The orchestrator …
cloud systems based on heterogeneous nodes in urban environments. The orchestrator …
[PDF][PDF] Leveraging the MLIR infrastructure for the computing continuum
With an ever-increasing number of connected devices (eg, IoT), cloud computing faces
efficiency challenges due to complex infrastructure, high communication costs, and privacy …
efficiency challenges due to complex infrastructure, high communication costs, and privacy …
Timing enclaves for performance in Lingua Franca
The reactor model is a model of computation for concurrent systems that includes semantics
for time to guarantee deterministic execution of events. However, the guarantee of …
for time to guarantee deterministic execution of events. However, the guarantee of …