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Esse trabalho tem por objetivo descrever o desenvolvimento e os atuais resultados do protótipo dataflow PIFLOW, um processador baseado no modelo de dataflow dinâmico, inspirado na Maquina Dataflow de Manchester e desenvolvido no Instituto de Física de São Carlos, da Universidade de São Paulo. Esse protótipo foi capaz de oferecer speedups muito próximos do ideal, a partir de programas que possuem grande grau de paralelismo, apresentando o grande potencial deste modelo - já bastante estudado no decorrer das últimas décadas - em oferecer desempenho superior ao de processadores sequenciais comerciais modernos. / The aim of this work is to describe the development and the current results of the PIFLOW dataflow prototype, a processor based on the dynamic dataflow model of execution, inspired by the Manchester Dataflow Machine and developed in the Instituto de Física de São Carlos, Universidade de São Paulo. This prototype shows speedups very close to the ideal case, when executing programs with a high degree of parallelism, showing the dataflow model potential, which has been extensibly analysed in the last decades, to offer higher performance when compared to commercial modern sequential processors.

Cognitive sensor platforms are the next step in the evolution of intelligent sensor platforms. These platforms have the capability to reason about both their external environment and internal conditions and to modify their processing behavior and configuration in a continuing effort to optimize their operational life and functional utility. The addition of cognitive capabilities is necessary for unattended sensor systems as it is generally not feasible to routinely replace the battery or the sensor(s). This platform provides a chassis that can be used to compose embedded sensor systems from composable elements. The composable elements adhere to a synchronous data flow (SDF) protocol to communicate between the elements using channels. The SDF protocol provides the capability to easily compose heterogeneous systems of multiple processing elements, sensor elements, debug elements and communications elements. The processing engine for this platform is a Dataflow-Processing Element (DPE) that receives, processes and dispatches SDF data tokens. The DPE is specifically designed to support the processing of SDF tokens using microcoded actors where programs are assembled by instantiating actors in a graphical modeling tool and verifying that the SDF protocol is adhered to. / text

Esse trabalho tem por objetivo descrever o desenvolvimento e os atuais resultados do protótipo dataflow PIFLOW, um processador baseado no modelo de dataflow dinâmico, inspirado na Maquina Dataflow de Manchester e desenvolvido no Instituto de Física de São Carlos, da Universidade de São Paulo. Esse protótipo foi capaz de oferecer speedups muito próximos do ideal, a partir de programas que possuem grande grau de paralelismo, apresentando o grande potencial deste modelo - já bastante estudado no decorrer das últimas décadas - em oferecer desempenho superior ao de processadores sequenciais comerciais modernos. / The aim of this work is to describe the development and the current results of the PIFLOW dataflow prototype, a processor based on the dynamic dataflow model of execution, inspired by the Manchester Dataflow Machine and developed in the Instituto de Física de São Carlos, Universidade de São Paulo. This prototype shows speedups very close to the ideal case, when executing programs with a high degree of parallelism, showing the dataflow model potential, which has been extensibly analysed in the last decades, to offer higher performance when compared to commercial modern sequential processors.

No description available.