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Found 4 papers, 1 papers with code
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
Deep learning is pervasive in our daily life, including self-driving cars, virtual assistants, social network services, healthcare services, face recognition, etc.
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers
Finally, we discuss the pros and cons of using typical Cloud and Edge servers to perform the BCI filtering phase.
Leveraging Transprecision Computing for Machine Vision Applications at the Edge
Machine vision tasks present challenges for resource constrained edge devices, particularly as they execute multiple tasks with variable workloads.
ALEA: Fine-grain Energy Profiling with Basic Block Sampling
The coarse granularity of power sensing limits our understanding of how power is allocated in systems and our ability to optimize energy efficiency via workload allocation.
Performance
