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The proliferation of multimedia applications in embedded systems has led to a research focus on optimizing the energy consumption of these applications without significantly degrading the execution time and adhering to data processing deadline constraints. To maximize optimization potential, phase-based tuning methodologies specialize system configurations to different phases of application execution...
Networked embedded systems typically leverage a collection of low-power embedded systems (nodes) to collaboratively execute applications spanning diverse application domains (e.g., video, image processing, communication, etc.) with diverse application requirements. The individual networked nodes must operate under stringent constraints (e.g., energy, memory, etc.) and should be specialized to meet...
Phase-based tuning increases optimization potential by configuring system parameters for application execution phases. Previous work proposed phase distance mapping (PDM), which relied on extensive a priori analysis of executing applications to dynamically estimate the best configuration using the correlation between phases. We propose DynaPDM, a new dynamic phase distance mapping methodology that...
Phase-based tuning specializes a system's tunable parameters to the varying runtime requirements of an application's different phases of execution to meet optimization goals. Since the design space for tunable systems can be very large, one of the major challenges in phase-based tuning is determining the best configuration for each phase without incurring significant tuning overhead (e.g., energy...
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