Nowadays embedded systems are increasingly used in the world of distributed computing to provide more computational power without having to change the whole system and the programming model. We propose a DataFlow Execution Engine (DEE) to spawn asynchronous, data-driven threads, among embedded cores to achieve a seamless distribution of threads without the need of using a distributed programming model. Our idea relies on the creation of a hardware scheduler that can handle creation, thread-dependency, and locality of many fine-grained tasks. We present an initial evaluation of our DEE that is suited for FPGA implementation. Our initial results show the importance of a hardware based support for such thread execution model.

Procaccini, M., Giorgi, R. (2017). A data-flow execution engine for scalable embedded computing, 91-94.

A data-flow execution engine for scalable embedded computing

Procaccini Marco;Giorgi Roberto
2017-01-01

Abstract

Nowadays embedded systems are increasingly used in the world of distributed computing to provide more computational power without having to change the whole system and the programming model. We propose a DataFlow Execution Engine (DEE) to spawn asynchronous, data-driven threads, among embedded cores to achieve a seamless distribution of threads without the need of using a distributed programming model. Our idea relies on the creation of a hardware scheduler that can handle creation, thread-dependency, and locality of many fine-grained tasks. We present an initial evaluation of our DEE that is suited for FPGA implementation. Our initial results show the importance of a hardware based support for such thread execution model.
978-88-905806-5-9
Procaccini, M., Giorgi, R. (2017). A data-flow execution engine for scalable embedded computing, 91-94.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1064557