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Exploration of memory-aware dynamic voltage scheduling for soft real-time applications.
| Content Provider | CiteSeerX |
|---|---|
| Abstract | Dynamic voltage scaling (DVS) and dynamic power management (DPM) are widely-used techniques to reduce energy consumption in modern computing systems. Although combining these techniques can save more energy, there has not been much work focused on energy-optimal combination of these techniques under variable memory clock frequencies. In this paper, we explore system-wide energy-optimal frequency space, employing a memory-aware DVS technique with a stochastic memory access model on frequency-variable memory devices for an MPEG-4 application. In addition, we propose a simple but practical DVS method, which can be applied to an actual platform. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Variable Memory Clock Frequency Memory-aware Dvs Technique Energy Consumption Frequency-variable Memory Device Memory-aware Dynamic Voltage Scheduling Soft Real-time Application Dynamic Power Management Much Work Practical Dvs Method Stochastic Memory Access Model Energy-optimal Combination Actual Platform System-wide Energy-optimal Frequency Space Dynamic Voltage Scaling Mpeg-4 Application Widely-used Technique |
| Content Type | Text |
