Colloque avec actes et comité de lecture. internationale.International audienceIn this paper we describe a code generator prototype that uses parameterized task graphs (PTGs) as an intermediate model and generates a multithreaded code. A PTG is a compact and a problem size independent representation of some task graphs found in scientific programs. We show how, with this model, we can generate a parallel program that is scalable (it is able to execute million of tasks) and generic (it works for all parameter values)
Data-parallel model is attractive in a point that data-parallelism is easily expressed in loops and ...
This paper presents an automatic parallelization approach for handling complex task systems with hea...
Le but de cette thèse est d'exploiter efficacement le parallélisme présent dans les applications inf...
It has been shown recently that it is possible to efficiently schedule direct acyclic task graphs. ...
International audienceWith the advent of clustered systems, more and more parallel computing is requ...
We describe a parallel programming tool for scheduling static task graphs and generating the appropr...
Increased parallelism and use of heterogeneous computing resources is now an established trend in Hi...
We consider the generation of mixed task and data parallel programs and discuss how a clear separati...
Article dans revue scientifique avec comité de lecture.Scheduling large task graphs is an important ...
It has become common knowledge that parallel programming is needed for scientific applications, part...
Scientific and simulation programs often use clusters for their execution. Programmers need new prog...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Computer architecture has looming challenges with finding program parallelism, process technology li...
This thesis intends to show how to efficiently exploit the parallelism present in applications in or...
The scheduling of tasks in a parallel program is an NP-complete problem, where scheduling tasks over...
Data-parallel model is attractive in a point that data-parallelism is easily expressed in loops and ...
This paper presents an automatic parallelization approach for handling complex task systems with hea...
Le but de cette thèse est d'exploiter efficacement le parallélisme présent dans les applications inf...
It has been shown recently that it is possible to efficiently schedule direct acyclic task graphs. ...
International audienceWith the advent of clustered systems, more and more parallel computing is requ...
We describe a parallel programming tool for scheduling static task graphs and generating the appropr...
Increased parallelism and use of heterogeneous computing resources is now an established trend in Hi...
We consider the generation of mixed task and data parallel programs and discuss how a clear separati...
Article dans revue scientifique avec comité de lecture.Scheduling large task graphs is an important ...
It has become common knowledge that parallel programming is needed for scientific applications, part...
Scientific and simulation programs often use clusters for their execution. Programmers need new prog...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Computer architecture has looming challenges with finding program parallelism, process technology li...
This thesis intends to show how to efficiently exploit the parallelism present in applications in or...
The scheduling of tasks in a parallel program is an NP-complete problem, where scheduling tasks over...
Data-parallel model is attractive in a point that data-parallelism is easily expressed in loops and ...
This paper presents an automatic parallelization approach for handling complex task systems with hea...
Le but de cette thèse est d'exploiter efficacement le parallélisme présent dans les applications inf...