This paper investigates the relationship between two ways of analyzing streaming systems: trace analysis for dataflow programs with firing, and network calculus for network flows. While the former focuses on the structure of the dataflow computation while idealizing the interaction with the environment, the latter characterizes the temporal properties of flows of data, largely abstracting from the computations that connect them. In this work, we show how a trace analysis can be used to derive a description of communication behavior of a dataflow program in terms of network calculus, which is then applied to answering a question about the buffer sizing. The example being studied is an MPEG-4 video decoder. © 2014 IEEE
This paper presents a new approach to buffer dimensioning for dynamic dataflow implementations. A no...
A dataflow network consists of nodes that communicate over perfect FIFO channels. For dataflow netwo...
Thesis (Ph. D.)--University of Rochester. Dept. of Mathematics, 2008.The algorithmic field of Data S...
The natural representation of data streams, parallelism, and composition has made dataflow an attrac...
Real-time stream processing applications such as software defined radios are usually executed concur...
A Network on Chip (NoC) with end-to-end flow control is modelled by a cyclo-static dataflow graph. U...
Soft real-time applications that process data streams can often be intuitively described as dataflow...
A Network on Chip (NoC) with end-to-end flow control is modelled by a cyclo-static dataflow graph. U...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
Execution trace graph analysis of dataflow programs has been demonstrated to be an effective way for...
A dataflow network consists of nodes that communicate over perfect unbounded FIFO channels. For data...
The paper introduces and specifies a formalism that provides complete representations of dataflow pr...
Embedded streaming applications require design-time temporal analysis to verify real-time constraint...
In order to obtain a cost-efficient solution, tasks share resources in a Multi-Processor System-on-C...
This paper presents a new approach to buffer dimensioning for dynamic dataflow implementations. A no...
A dataflow network consists of nodes that communicate over perfect FIFO channels. For dataflow netwo...
Thesis (Ph. D.)--University of Rochester. Dept. of Mathematics, 2008.The algorithmic field of Data S...
The natural representation of data streams, parallelism, and composition has made dataflow an attrac...
Real-time stream processing applications such as software defined radios are usually executed concur...
A Network on Chip (NoC) with end-to-end flow control is modelled by a cyclo-static dataflow graph. U...
Soft real-time applications that process data streams can often be intuitively described as dataflow...
A Network on Chip (NoC) with end-to-end flow control is modelled by a cyclo-static dataflow graph. U...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
Execution trace graph analysis of dataflow programs has been demonstrated to be an effective way for...
A dataflow network consists of nodes that communicate over perfect unbounded FIFO channels. For data...
The paper introduces and specifies a formalism that provides complete representations of dataflow pr...
Embedded streaming applications require design-time temporal analysis to verify real-time constraint...
In order to obtain a cost-efficient solution, tasks share resources in a Multi-Processor System-on-C...
This paper presents a new approach to buffer dimensioning for dynamic dataflow implementations. A no...
A dataflow network consists of nodes that communicate over perfect FIFO channels. For dataflow netwo...
Thesis (Ph. D.)--University of Rochester. Dept. of Mathematics, 2008.The algorithmic field of Data S...