Directed Acyclic Graph Scheduling is a technique used to implement the real-time execution of Digital Signal Processing applications on multiple- processor data-flow machines that support variable-grained parallelism. The approach used in the Navy's AN/UYS-2 Digital Signal Processor statically schedules an application graph at run-time using a First-Come-First-Served (FCFS) policy. Research by Shukla and Zaky Shukla 91 developed a new algorithm, the Revolving Cylinder(RC), to ameliorate the inherently non-deterministic output flow of the FCFS scheduling approach currently used in the system. Although the RC technique solved the problem of output-flow determinism there was no broad coverage of other current research in the very specialized f...
We consider the resource-constrained scheduling of loops with inter-iteration dependencies. A loop i...
Many computation-intensive or recursive applications commonly found in digital signal processing and...
In this contribution we present an optimised method for mapping of data-flow graphs onto parallel pr...
International audienceSynchronous data-flow graphs (SDF) are widely used in the design of concurrent...
This paper addresses the problem of determining the optimal blocking factor for blocked, non-overlap...
With the strong demand for computing capacity in industrial applications and the rapid development o...
International audienceThis paper addresses the problem of scheduling parallel real- time tasks of Di...
Static dataflow graphs are widely used in design of concurrent real-time streaming applications on m...
A new model is presented to describe dataflow algorithms implemented in a multiprocessing system. Ca...
International audienceIn this paper, we study the problem of real-time scheduling of parallel tasks ...
International audienceModern Cyber-Physical Systems (CPSs) are composed of numerous components, some...
Abstract—The data flow model is gaining popularity as a programming paradigm for multi-core processo...
Scientific applications, such as N-body, Monte Carlo, and computational fluid dynamics consist of la...
The central thesis of this project is that real-time scheduling theory can be combined with dataflow...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
We consider the resource-constrained scheduling of loops with inter-iteration dependencies. A loop i...
Many computation-intensive or recursive applications commonly found in digital signal processing and...
In this contribution we present an optimised method for mapping of data-flow graphs onto parallel pr...
International audienceSynchronous data-flow graphs (SDF) are widely used in the design of concurrent...
This paper addresses the problem of determining the optimal blocking factor for blocked, non-overlap...
With the strong demand for computing capacity in industrial applications and the rapid development o...
International audienceThis paper addresses the problem of scheduling parallel real- time tasks of Di...
Static dataflow graphs are widely used in design of concurrent real-time streaming applications on m...
A new model is presented to describe dataflow algorithms implemented in a multiprocessing system. Ca...
International audienceIn this paper, we study the problem of real-time scheduling of parallel tasks ...
International audienceModern Cyber-Physical Systems (CPSs) are composed of numerous components, some...
Abstract—The data flow model is gaining popularity as a programming paradigm for multi-core processo...
Scientific applications, such as N-body, Monte Carlo, and computational fluid dynamics consist of la...
The central thesis of this project is that real-time scheduling theory can be combined with dataflow...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
We consider the resource-constrained scheduling of loops with inter-iteration dependencies. A loop i...
Many computation-intensive or recursive applications commonly found in digital signal processing and...
In this contribution we present an optimised method for mapping of data-flow graphs onto parallel pr...