Master Thesis - Approximative Computing for CNNs

Job Title Master Thesis - Approximative Computing for CNNs Job Description Category Computer Science, Machine Learning, Electronics, Integrated Circuits Scope Two Master students completing 30 credits each Background Convolutional neural networks for object detection and semantic segmentation are increasingly deployed directly on edge devices, where power consumption and silicon area are tightly constrained. Most of the energy and area in a neural network accelerator is spent on multiply-accumulate operations. Approximate computing offers a way to reduce these costs by replacing exact arithmetic circuits with simpler alternatives that trade numerical accuracy for lower power consumption and smaller circuit area.…