Kahn process networks (KPNs) are a programming paradigm suitable for streaming-based multimedia and signal-processing applications. We discuss the execution of KPNs, and the criteria for correct scheduling of their realisations. In [12], Parks shows how process networks can be scheduled in bounded memory; the proposed method is used in many implementations of KPNs. However, it does not result in the correct behaviour for all KPNs. We investigate the requirements for a scheduler to guarantee both correct and bounded execution of KPNs and present an improved scheduling strategy that satisfies them
We propose a programming model and language dedicated to high-performance streaming applications. In...
textMany signal and image processing systems for high-throughput, high-performance applications requ...
Streaming Applications usually run in parallel or in series that incrementally transform a stream of...
Kahn process networks (KPNs) are a programming paradigm suitable for streaming-based multimedia and ...
Kahn and MacQueen have introduced a generic class of determinate asynchronous data-flow applications...
Kahn andMacQueen have introduced a generic class of determinate asynchronous data-flow applications,...
Software development tools have not adapted to the growing popularity of multi-core CPUs, and develo...
Kahn Process Nets (PN) is a general model of computation suitable for most stream-based applications...
Kahn process networks (KPNs) is a distributed model of computation used for describing systems where...
Kahn process networks (KPNs) is a distributed model of computation used for describing systems where...
Kahn process network (KPN) is a popular model of computation for describing streaming applications a...
Abstract—Kahn process networks (KPN) is a distributed model of computation used for describing syste...
In industry, embedded systems for stream-based processing are often modelled and verified by using p...
We propose a programming model and language dedicated to high-performance streaming applications. In...
textMany signal and image processing systems for high-throughput, high-performance applications requ...
Streaming Applications usually run in parallel or in series that incrementally transform a stream of...
Kahn process networks (KPNs) are a programming paradigm suitable for streaming-based multimedia and ...
Kahn and MacQueen have introduced a generic class of determinate asynchronous data-flow applications...
Kahn andMacQueen have introduced a generic class of determinate asynchronous data-flow applications,...
Software development tools have not adapted to the growing popularity of multi-core CPUs, and develo...
Kahn Process Nets (PN) is a general model of computation suitable for most stream-based applications...
Kahn process networks (KPNs) is a distributed model of computation used for describing systems where...
Kahn process networks (KPNs) is a distributed model of computation used for describing systems where...
Kahn process network (KPN) is a popular model of computation for describing streaming applications a...
Abstract—Kahn process networks (KPN) is a distributed model of computation used for describing syste...
In industry, embedded systems for stream-based processing are often modelled and verified by using p...
We propose a programming model and language dedicated to high-performance streaming applications. In...
textMany signal and image processing systems for high-throughput, high-performance applications requ...
Streaming Applications usually run in parallel or in series that incrementally transform a stream of...