Skip to Main Content
Temperature is becoming a first rate design criterion in ASICs due to its negative impact on leakage power, reliability, performance, and packaging cost. Incorporating awareness of such lower level physical phenomenon in high level synthesis algorithms help to achieve better designs. In this work, we developed a temperature aware binding algorithm. Switching power of a module correlates with its operating temperature. The goal of our binding algorithm is to distribute the activity evenly across functional units. This approach avoids steep temperature differences between modules on a chip, hence, the occurrence of hot spots. Starting with a switching optimal binding solution, our algorithm iteratively minimizes the maximum temperature reached by the hottest functional unit. Our algorithm does not change the number of resources used in the original binding. We have used HotSpot, a temperature modeling tool, to simulate temperature of a number ASIC designs. Our binding algorithm reduces temperature reached by the hottest resource by 12.21°C on average. Reducing the peak temperature has a positive impact on leakage as well. Our binding technique improves leakage power by 11.89%, and overall power by 3.32% on average at 130nm technology node compared to a switching optimal binding.