Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.The main purpose of this thesis is to research in the relation between task-based programming models and resource management systems in order to provide a smart autonomous load-balancing and fault-tolerant system. Thus, taking advantage of MPI malleable applications and execution models such as SMPD and MPMD we will dig in the principle of the dynamical reconfiguration. Apart from providing an overview of the thesis idea, this paper explains our initial motivation and reviews briefly the most remarkable work done in this field.European Cooperation in Science and Technology. COSTThis work is partial...
We present a new hierarchical approximation and scheduling approach for applications and tasks with ...
This paper presents techniques for dynamic load balancing in heterogeneous computing environments. T...
Process malleability has proved to have a highly positive impact on the resource utilization and glo...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)...
In this paper we introduce a methodology for dynamic job reconfiguration driven by the programming m...
International audienceJob management software on peta- and exascale supercomputers continues to prov...
Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of pro...
Job scheduling and resource management plays an essential role in high-performance computing. Superc...
Several studies have proved the benefits of job malleability, that is, the capacity of an applicatio...
As new heterogeneous systems and hardware accelerators appear, high performance computers can reach ...
The work in this paper focuses on providing malleability to MPI applications by using a novel perfor...
The use of distributed computing technology in real-time systems is rapidly increasing. Distributed ...
International audienceThe current static job scheduling on supercomputers for MPI-based applications...
This work focuses on scheduling of MPI jobs when executing in shared-memory multiprocessors (SMPs). ...
As the need for more reporting and assessment of information increase exponentially, computer-based ...
We present a new hierarchical approximation and scheduling approach for applications and tasks with ...
This paper presents techniques for dynamic load balancing in heterogeneous computing environments. T...
Process malleability has proved to have a highly positive impact on the resource utilization and glo...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)...
In this paper we introduce a methodology for dynamic job reconfiguration driven by the programming m...
International audienceJob management software on peta- and exascale supercomputers continues to prov...
Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of pro...
Job scheduling and resource management plays an essential role in high-performance computing. Superc...
Several studies have proved the benefits of job malleability, that is, the capacity of an applicatio...
As new heterogeneous systems and hardware accelerators appear, high performance computers can reach ...
The work in this paper focuses on providing malleability to MPI applications by using a novel perfor...
The use of distributed computing technology in real-time systems is rapidly increasing. Distributed ...
International audienceThe current static job scheduling on supercomputers for MPI-based applications...
This work focuses on scheduling of MPI jobs when executing in shared-memory multiprocessors (SMPs). ...
As the need for more reporting and assessment of information increase exponentially, computer-based ...
We present a new hierarchical approximation and scheduling approach for applications and tasks with ...
This paper presents techniques for dynamic load balancing in heterogeneous computing environments. T...
Process malleability has proved to have a highly positive impact on the resource utilization and glo...