The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Due to the memory hierarchy's large contribution to a microprocessor's total power, cache tuning is an ideal method for optimizing overall power consumption in embedded systems. Since most embedded systems are power and area constrained, the hardware and/or software that orchestrate cache tuning — the cache tuner — must not impose significant power and area overhead. Furthermore, as embedded systems...
Configurable caches can significantly reduce energy consumption by adapting the system's cache configuration to the applications' specific requirements to meet system design and optimization goals. However, large configuration design spaces require prohibitive design space exploration time (e.g., due to lengthy design space analyses, simulations, and/or evaluations) to determine the best configuration...
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...
Cache tuning reveals substantial energy savings for single-core architectures, but has yet to be explored for multi-core architectures. In this paper we explore level one (L1) data cache tuning in a heterogeneous dual-core system where each data cache can have a different configuration. We show that L1 data cache tuning in a dual-core system achieves 25% average energy savings, which is comparable...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.