In this work, we deal with the problem of scheduling independent tasks on heterogeneous master-slave platforms. We target both off-line and on-line problems, with several objective functions (makespan, maximum response time, total completion time). On the theoretical side, our results are two-fold: (i) For off-line scheduling, we prove several optimality results for problems with release dates; (ii) For on-line scheduling, we establish lower bounds on the competitive ratio of any deterministic algorithm. On the practical side, we have implemented several heuristics, some classical and some new ones derived in this paper. We studied experimentally these heuristics on a small but fully heterogeneous MPI platform. Our results show the superior...
In this work we are interested in the problem of scheduling and redistributing data on master-slave ...
Scheduling independent tasks on a parallel platform is a widely-studied problem, in particular when ...
This paper introduces and assesses novel strategies to schedule firm real-time jobs on an overloaded...
In this work, we deal with the problem of scheduling independent tasks on heterogeneous master-slave...
In this paper, we assess the impact of heterogeneity for scheduling independent tasks on master-slav...
International audienceIn this paper, we assess the impact of heterogeneity on scheduling independent...
In this paper, we consider the problem of allocating and scheduling a collection of independent, equ...
Scheduling problems are already difficult on traditional parallel machines. They become extremely ch...
In this report, we study the problem of optimizing the throughput of applications for heterogeneous ...
In this paper, we consider the problem of scheduling independent tasks, or divisible loads, onto an ...
Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple applicat...
Mapping applications onto parallel platforms is a challenging problem, that becomes even more diffic...
This thesis mainly deals with the mapping and the scheduling of applications on large heteroge- neou...
In this paper, we consider the communications involved by the execution of a complex application dep...
(ENG) Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple ap...
In this work we are interested in the problem of scheduling and redistributing data on master-slave ...
Scheduling independent tasks on a parallel platform is a widely-studied problem, in particular when ...
This paper introduces and assesses novel strategies to schedule firm real-time jobs on an overloaded...
In this work, we deal with the problem of scheduling independent tasks on heterogeneous master-slave...
In this paper, we assess the impact of heterogeneity for scheduling independent tasks on master-slav...
International audienceIn this paper, we assess the impact of heterogeneity on scheduling independent...
In this paper, we consider the problem of allocating and scheduling a collection of independent, equ...
Scheduling problems are already difficult on traditional parallel machines. They become extremely ch...
In this report, we study the problem of optimizing the throughput of applications for heterogeneous ...
In this paper, we consider the problem of scheduling independent tasks, or divisible loads, onto an ...
Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple applicat...
Mapping applications onto parallel platforms is a challenging problem, that becomes even more diffic...
This thesis mainly deals with the mapping and the scheduling of applications on large heteroge- neou...
In this paper, we consider the communications involved by the execution of a complex application dep...
(ENG) Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple ap...
In this work we are interested in the problem of scheduling and redistributing data on master-slave ...
Scheduling independent tasks on a parallel platform is a widely-studied problem, in particular when ...
This paper introduces and assesses novel strategies to schedule firm real-time jobs on an overloaded...