Research on the Relationship of Approximate Computing Application Precision and Hardware Resource Utilization

Abstract

The rapid development of data center brings huge energy consumption problems. In order to solve this problem, we intend to use renewable energy such as solar energy to power the datacenters. When using solar energy to power the data centers, as the solar energy changes by climate, seasons, weather conditions and other factors, its power is a kind of relatively unstable energy, in order to adapt to this kind of unstable energy, datacenters at runtime need to regulate their load to adapt to energy changes. We adjust the load on server by trading off task precision with server workload. This paper focuses on the approximate computing applications, using loop perforation technique for the application of precision adjustment, and tests the hardware resource usage of the application under current precision. The change of the average hardware resource utilization as the application precision changes is also analyzed.