; p j ) the earliest time, when all input data for vertex v i are available at processor p j . The algorithm assigns v i to the processor p j that maximises DL. In (1) DA(v i ; p j ) characterizes interprocessor communication cost and represents the earliest possible time to start the computation of v i with respect to communication. The common estimation which will be used as reference assumes that the difference between DA(v i ; p j ) and the time when all ancestor tasks of v i are finished is equal to the maximal product of the amount of data to be transferred and the number of hops between the two communicating processors. This approach will be compared to the exact calculation of interprocessor communication costs by software ro
International audienceMixed applications that gather real-time tasks and best effort jobs require a ...
In statically scheduled multiprocessors inter-processor communication resources can be scheduled by ...
This paper improves lower bounds on the minimum number of processors and minimum time to execute a g...
In this contribution we present an optimised method for mapping of data-flow graphs onto parallel pr...
This paper explores the problem of efficiently ordering inter-processor communication operations in ...
International audienceStatic dataflow graphs are widely used in design of concurrent real-time strea...
In order to accelerate the execution of streaming applications on multi-core systems, this article s...
The lower and upper bounds on the minimum time needed to process a given directed acyclic task graph...
textMany digital signal processing and real-time streaming systems are modeled using dataflow graphs...
An optimal scheduling algorithm is described that feasibly schedules a set ofmperiodic tasks onnproc...
technical reportThe inherently asynchronous nature of the data flow computation model allows the exp...
Consider a scheduling problem of parallel computations in multiprocessor systems. Let a parallel pro...
AbstractWe present here an nτ+1 algorithm for optimally scheduling a dag of n nodes on a multiproces...
The ordering of operations in a data flow program is not specified by the programmer, but is implied...
AbstractThe problem of scheduling task graphs on multiprocessor systems have received considerable a...
International audienceMixed applications that gather real-time tasks and best effort jobs require a ...
In statically scheduled multiprocessors inter-processor communication resources can be scheduled by ...
This paper improves lower bounds on the minimum number of processors and minimum time to execute a g...
In this contribution we present an optimised method for mapping of data-flow graphs onto parallel pr...
This paper explores the problem of efficiently ordering inter-processor communication operations in ...
International audienceStatic dataflow graphs are widely used in design of concurrent real-time strea...
In order to accelerate the execution of streaming applications on multi-core systems, this article s...
The lower and upper bounds on the minimum time needed to process a given directed acyclic task graph...
textMany digital signal processing and real-time streaming systems are modeled using dataflow graphs...
An optimal scheduling algorithm is described that feasibly schedules a set ofmperiodic tasks onnproc...
technical reportThe inherently asynchronous nature of the data flow computation model allows the exp...
Consider a scheduling problem of parallel computations in multiprocessor systems. Let a parallel pro...
AbstractWe present here an nτ+1 algorithm for optimally scheduling a dag of n nodes on a multiproces...
The ordering of operations in a data flow program is not specified by the programmer, but is implied...
AbstractThe problem of scheduling task graphs on multiprocessor systems have received considerable a...
International audienceMixed applications that gather real-time tasks and best effort jobs require a ...
In statically scheduled multiprocessors inter-processor communication resources can be scheduled by ...
This paper improves lower bounds on the minimum number of processors and minimum time to execute a g...