UvA-DARE (Digital Academic Repository) ARM-CO-UP: ARM COoperative Utilization of Processors

UvA-DARE (Digital Academic Repository) ARM-CO-UP: ARM COoperative Utilization of Processors

UvA-DARE (Digital Academic Repository) ARM-CO-UP: ARM COoperative Utilization of Processors

UvA-DARE (Digital Academic Repository) PELSI: Power-Efficient Layer-Switched Inference

UvA-DARE (Digital Academic Repository) PELSI: Power-Efficient Layer-Switched Inference

PELSI incorporates a Genetic Algorithm to identify the near-optimal CPU-GPU layer-switched CNN inference configuration from within the large exponential design space that meets the given latency requirement most power efficiently.

UvA-DARE (Digital Academic Repository) PELSI: Power-Efficient Layer-Switched Inference

PELSI incorporates a Genetic Algorithm to identify the near-optimal CPU-GPU layer-switched CNN inference configuration from within the large exponential design space that meets the given latency requirement most power efficiently.

Fine-Grained Energy Assessment of Vision Transformer Operators on Hybrid SoC Platforms: A CPU, iGPU, and NPU Case Study

As CPUs alone are often insufficiently efficient for running Vision Transformers (ViTs), contemporary computing platforms, particularly edge systems, increasingly adopt heterogeneous architectures that combine CPUs with GPUs and Neural Processing Units (NPUs). This paper presents a detailed energy assessment of individ...