Methodology for Refinement and Optimization of Dynamic Memory Management for Embedded Systems in Multimedia Applications

In multimedia applications, run-time memory management support has to allow real-time memory de/allocation, retrieving and processing of data. Thus, its implementation must be designed to combine high speed, low power, large data storage capacity and a high memory bandwidth. In this paper, we assess the performance of our new system-level exploration methodology to optimize the memory management of typical multimedia applications in an extensively used 3D reconstruction image system. This methodology is based on an analysis of the number of memory accesses, normalized memory use 1 and energy estimations for the system studied. This results in an improvement of normalized memory footprint up to 44.2% and the estimated energy dissipation up to 22.6% over conventional static memory implementations in an optimized version of the driver application. Finally, our final version is able to scale perfectly the memory consumed in the system for a wide range of input parameters whereas the statically optimized version is unable to do this

Automated dynamic memory data type implementation exploration and optimization

The behavior of many algorithms is heavily determined by the input data. Furthermore, this often means that multiple and completely different execution paths can be followed, also internal data usage and handling is frequently quite different. Therefore, static compile time memory allocation is not efficient, especially on embedded systems where memory is a scarce resource, and dynamic memory management is the only feasible alternative. Including applications with dynamic memory in embedded systems introduces new challenges as compared to traditional signal processing applications. In this session, an automated framework is presented to optimize embedded applications with extensive use of dynamic memory management. The proposed methodology automates the exploration and identification of optimal data type implementations based on power estimates, memory accesses and normalized memory usage

Adaptive Mapping for Multiple Applications on Parallel Architectures

International audienceWe propose a novel adaptive approach capable of handling dynamism of a set of applications on network-on-chip. The applications are subject to throughput or energy consumption constraints. For each application, a set of non-dominated (Pareto) schedules are computed at design-time in the (energy, period, processors) space for different cores topologies. Then, upon the starting or ending of an application, a lightweight adaptive run-time scheduler reconfigures the mapping of the live applications according to the available resources (i.e., the available cores of the network-on-chip). This run-time scheduler selects the best topology for each application and maps them to the network-on-chip using the tetris algorithm. This novel scheduling approach is adaptive, it changes the mapping of applications during their execution, and thus delivers just enough power to achieve applications constraints

Methodology for Refinement and Optimization of Dynamic Memory Management for Embedded Systems in Multimedia Applications

In multimedia applications, run-time memory management support has to allow real-time memory de/allocation, retrieving and processing of data. Thus, its implementation must be designed to combine high speed, low power, large data storage capacity and a high memory bandwidth. In this paper, we assess the performance of our new system-level exploration methodology to optimise the memory management of typical multimedia applications in an extensively used 3D reconstruction image system. This methodology is based on an analysis of the number of memory accesses, normalised memory footprint1 and energy estimations for the system studied. This results in an improvement of normalised memory footprint up to 44.2% and the estimated energy dissipation up to 22.6% over conventional static memory implementations in an optimised version of the driver application. Finally, our final version is able to scale perfectly the memory consumed in the system for a wide range of input parameters whereas the statically optimised version is unable to do this

MULTICUBE: Multi-objective design space exploration of multi-core architectures

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Применение метода контрольных возмущений для определения характерных узлов присоединения комплексной нагрузки при расчетах динамической устойчивости

Рассматривается влияние способа замещения комплексной нагрузки на характер электромеханических переходных процессов в электрических системах (ЭС) от действия больших возмущений. Показано, что установить общие рекомендации относительно способа замещения нагрузки в сложных ЭС затруднительно. Предлагается для опреде­ления характерных узлов нагрузки, оказывающих существенное влияние на характер динамического перехода, применять известный метод контрольных возмущений. Приводятся результаты сравнительных расчетов с использованием предлагаемой методики