International audienceWe present a source-to-source auto-generating framework that enables alarge programmer community to easily and safely implement parallelstencil codes within the framework of Ordered Read-Write Locks(ORWL). It meets the specific needs of the application at a high levelof abstraction. ORWL is an inter-task synchronization model foriterative data-oriented parallel and distributed algorithms that usesstrict FIFO ordering for the access to all resources. It guaranteesequity, liveness and efficiency for a wide range of applications. Themain hurdle for using ORWL lies in its initialization phase, where theprogrammer has to specify the access scheme between tasks andresources and the initial positions of the tasks in the FIF...
Scientific applications have an increasing need of resources and many grand scientific challenges re...
International audienceConcurrent programming is notoriously difficult, especially in constrained emb...
Advanced engineering and scientific communities have used parallel programming to solve their large ...
International audienceWe present a source-to-source auto-generating framework that enables alarge pr...
In the domain of open platforms, it has become common to use application programming frameworks exte...
This thesis intends to show how to efficiently exploit the parallelism present in applications in or...
Open pNets are used to model the behaviour of open systems, both synchronousor asynchronous, express...
Task-based models and runtimes are quite popular in the HPC community. Theyhelp to implement applica...
Ornaments provide a way to express transformations of inductive datatypes that reorganize, specializ...
In this thesis, we present developments to the approach used by the LRI Parsys team to automatically...
Parallel programs need to manage the time trade-off between synchronization and computation. A high ...
Automatic parallelization is one of the approaches aimed at a better and easier use of parallel comp...
As single processing unit performance has reached a technological limit, the power wall, the past de...
With the emergence of highly heterogeneous, dynamic and large distributed platforms, declarative pro...
Projections and measurements of error rates in near-exascale and exascale systems suggest a dramati...
Scientific applications have an increasing need of resources and many grand scientific challenges re...
International audienceConcurrent programming is notoriously difficult, especially in constrained emb...
Advanced engineering and scientific communities have used parallel programming to solve their large ...
International audienceWe present a source-to-source auto-generating framework that enables alarge pr...
In the domain of open platforms, it has become common to use application programming frameworks exte...
This thesis intends to show how to efficiently exploit the parallelism present in applications in or...
Open pNets are used to model the behaviour of open systems, both synchronousor asynchronous, express...
Task-based models and runtimes are quite popular in the HPC community. Theyhelp to implement applica...
Ornaments provide a way to express transformations of inductive datatypes that reorganize, specializ...
In this thesis, we present developments to the approach used by the LRI Parsys team to automatically...
Parallel programs need to manage the time trade-off between synchronization and computation. A high ...
Automatic parallelization is one of the approaches aimed at a better and easier use of parallel comp...
As single processing unit performance has reached a technological limit, the power wall, the past de...
With the emergence of highly heterogeneous, dynamic and large distributed platforms, declarative pro...
Projections and measurements of error rates in near-exascale and exascale systems suggest a dramati...
Scientific applications have an increasing need of resources and many grand scientific challenges re...
International audienceConcurrent programming is notoriously difficult, especially in constrained emb...
Advanced engineering and scientific communities have used parallel programming to solve their large ...