A runtime system is described here for dynamic DAG execution. A large D A G while represents an application program can be executed on a parallel system without consuming large amount of memory space. A DAG scheduling algorithm has been parallelized to scale to large systems. Inaccurate estimation of task execution time and communication time can be tolerated. Implementation of this parallel incremental system demonstrates the feasibility of this approach. Preliminary results show that it is superior to other approaches. © 2000 Springer-Verlag Berlin Heidelberg
Copyright 2015 ACM. In task-based parallel programming, programmers can expose logical parallelism o...
International audienceThe scheduling of parallel real-time tasks on multiprocessor systems is more c...
Many irregular scientific computing problems can be modeled by directed acyclic task graphs (DAGs). ...
A runtime system is described here for dynamic DAG execution. A large DAG which represents an applic...
Scheduling the tasks of a distributed application has been an active field of research for several d...
Article dans revue scientifique avec comité de lecture.Scheduling large task graphs is an important ...
International audienceThis work focuses on dynamic DAG scheduling under memory constraints. We targe...
With the strong demand for computing capacity in industrial applications and the rapid development o...
International audienceThis work focuses on dynamic DAG scheduling under memory constraints. We targe...
The LOIS project aims at building a radio sensor and IT infrastructure in the south of Sweden, prima...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
International audienceScientific workflows are frequently modeled as Directed Acyclic Graphs (DAGs) ...
Abstract. The Area of a schedule Σ for a DAG G is a quality metric that measures the rate at which Σ...
International audienceScientific workflows are frequently modeled as Directed Acyclic Graphs (DAG) o...
Copyright 2015 ACM. In task-based parallel programming, programmers can expose logical parallelism o...
International audienceThe scheduling of parallel real-time tasks on multiprocessor systems is more c...
Many irregular scientific computing problems can be modeled by directed acyclic task graphs (DAGs). ...
A runtime system is described here for dynamic DAG execution. A large DAG which represents an applic...
Scheduling the tasks of a distributed application has been an active field of research for several d...
Article dans revue scientifique avec comité de lecture.Scheduling large task graphs is an important ...
International audienceThis work focuses on dynamic DAG scheduling under memory constraints. We targe...
With the strong demand for computing capacity in industrial applications and the rapid development o...
International audienceThis work focuses on dynamic DAG scheduling under memory constraints. We targe...
The LOIS project aims at building a radio sensor and IT infrastructure in the south of Sweden, prima...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous syst...
International audienceScientific workflows are frequently modeled as Directed Acyclic Graphs (DAGs) ...
Abstract. The Area of a schedule Σ for a DAG G is a quality metric that measures the rate at which Σ...
International audienceScientific workflows are frequently modeled as Directed Acyclic Graphs (DAG) o...
Copyright 2015 ACM. In task-based parallel programming, programmers can expose logical parallelism o...
International audienceThe scheduling of parallel real-time tasks on multiprocessor systems is more c...
Many irregular scientific computing problems can be modeled by directed acyclic task graphs (DAGs). ...