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

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

Design Space Exploration for Run-time Management of a Reconfigurable System for Video Streaming

This Chapter reports a case study of Design Space Exploration for supporting Run-time Resource Management (RRM). In particular the management of system resources for an MPSoC dedicated to multiple MPEG4 encoding is addressed in the context of an Automotive Cognitive Safety System (ACSS). The run-time management problem is defined as the minimization of the platform power consumption under resource and Quality of Service (QoS) constraints. The Chapter provides an insight of both, design-time and run-time aspects of the problem. During the prelimiary design-time Design Space Exploration (DSE) phase, the best configurations of run-time tunable parameters are statically identified for providing the best trade-offs in terms of run-time costs and application QoS. To speed up the optimization process without reducing the quality of final results, a multi-simulator framework is used for modeling platform performance. At run-time, the RRM exploits the design-time DSE results for deciding an operating configuration to be loaded for each MPEG4 encoder. This operation is carried out dynamically, by following the QoS requirements of the specific use-case