Exploiting Program Execution Phases to Trade Power and Performance for Media Workload

Processing streaming media comprises several program phases (often distinct) that are periodic and independent of application data. Here we characterize execution of such programs into execution phases based on their dynamic IPC (instruction per cycle) profile. We show that program execution of selected phases can be dynamically boosted by activating additional standby functional units which are otherwise powered down for saving energy. Through simulation we show that speedup ranging from 1.1 to 1.25 can be achieved while reducing the energy-delay product (EDP) for most of the media benchmarks evaluated. Additionally we show that artificially introduced stalls during phases of processor underutilization reduces power by around 2 to 4%