In this paper we study mixed task and data parallel implementations for general linear methods realized using a library for multiprocessor task programming.

Abstract. On many parallel target platforms it can be advantageous to implement parallel applications as a collection of multiprocessor tasks that are ...

In this paper we study mixed task and data parallel implementations for general linear methods realized using a library for multiprocessor task programming.

In this paper we study mixed task and data parallel implementations for general linear methods realized using a library for multiprocessor task programming.

On many parallel target platforms it can be advantageous to implement parallel applications as a collection of multiprocessor tasks that are concurrently ...

In this paper we study mixed task and data parallel implementations for general linear methods realized using a library for multiprocessor task programming.

Mixed task and data parallelism exists naturally in many applications, but utilizing it may require sophisticated scheduling algorithms and software support. ...

Thomas Rauber, Gudula Rünger: Mixed task and data parallel executions in general linear methods. Sci. Program. 15(3): 137-155 (2007). manage site settings.

This paper builds and validate a performance model for a class of mixed task and data parallel problems based on machine and problem parameters, ...

A solution to this problem is to use an SPMD program to coordinate multiple concurrent HPF tasks, each operating on a regular subgrid of the multiblock domain.