Dynamic Placement Approach Based on Mass Spring Model for Bio-inspired Self-Repairing Hardware

Bio-inspired self-repairing hardware a fault-tolerant electronic system, characterized by high reliability and environment adaptivity. However, there are some challenges for effective applications, such as large resource consumption and degraded circuit performances. As a result, we will develop a dynamic placement method based on mass spring model to improve system performances. In this method, function blocks are considered as mass blocks that can move under the joint action of spring force and extrusion force. This system will evolve until the potential energy reaches a minimum. Besides, self-adaptive algorithms are designed for dynamic placement. Experiments are conducted to verify performances. It has been shown that our proposed approach can make an efficient use of spare eCells and improve placement quality.