On-Line Adjustable Precision Computing

Connected mobile applications, known as the Internet of Things (IoT), require deploying extensive efforts to optimize power consumption and to improve the system performance at the same time. One way to reach this target is based on sacrificing the computing precision adopting different approximate computing methodologies for boosting system performance and reducing the power consumption. In this work, Approximate Precision Computing (APC) based on redundant and on-line arithmetic operators is introduced. It provides the possibility to adapt the computing precision at will, depending on the performance and/or power requirements of the application. The proposed approach supplies an efficient power and area optimized solution with higher performance and without compromising the computing precision.