pre-printThe task-based approach to software and parallelism is well-known and has been proposed as a potential candidate, named the silver model, for exas-cale software. This approach is not yet widely used in the large-scale multi-core parallel computing of complex systems of partial differential equations. After surveying task-based approaches we investigate how well the Uintah software and an extension named Wasatch fit in the task-based paradigm and how well they perform on large scale parallel computers. The conclusion is that these approaches show great promise for petascale but that considerable algorithmic challenges remain
Heterogeneous architectures proved successful in achieving unprecedented performance and energy-effi...
International audienceAccelerator-enhanced computing platforms have drawn a lot of attention due to ...
This dissertation studies the sources of poor performance in scientific computing codes based on par...
International audienceThe advent of multicore processors requires to reconsider the design of high p...
pre-printPresent trends in high performance computing present formidable challenges for applications...
dissertationRecent trends in high performance computing present larger and more diverse computers us...
International audienceThe task-based approach is a parallelization paradigm in which an algorithm is...
Three paradigms for distributed-memory parallel computation that free the application programmer fro...
This paper examines the potential of parallel computation methods for partial differential equations...
thesisRecent advancements in High Performance Computing (HPC) infrastructure with tradi- tional comp...
The efficient solution of large-scale systems resulting from the discretization of partial different...
This paper examines the potential of parallel computation methods for pamal differential equations (...
pre-printAbstract-Uintah is a software framework that provides an environment for solving large-scal...
ABSTRACT Present trends in high performance computing present formidable challenges for applications...
Two paradigms for distributed-memory parallel computation that free the application programmer from ...
Heterogeneous architectures proved successful in achieving unprecedented performance and energy-effi...
International audienceAccelerator-enhanced computing platforms have drawn a lot of attention due to ...
This dissertation studies the sources of poor performance in scientific computing codes based on par...
International audienceThe advent of multicore processors requires to reconsider the design of high p...
pre-printPresent trends in high performance computing present formidable challenges for applications...
dissertationRecent trends in high performance computing present larger and more diverse computers us...
International audienceThe task-based approach is a parallelization paradigm in which an algorithm is...
Three paradigms for distributed-memory parallel computation that free the application programmer fro...
This paper examines the potential of parallel computation methods for partial differential equations...
thesisRecent advancements in High Performance Computing (HPC) infrastructure with tradi- tional comp...
The efficient solution of large-scale systems resulting from the discretization of partial different...
This paper examines the potential of parallel computation methods for pamal differential equations (...
pre-printAbstract-Uintah is a software framework that provides an environment for solving large-scal...
ABSTRACT Present trends in high performance computing present formidable challenges for applications...
Two paradigms for distributed-memory parallel computation that free the application programmer from ...
Heterogeneous architectures proved successful in achieving unprecedented performance and energy-effi...
International audienceAccelerator-enhanced computing platforms have drawn a lot of attention due to ...
This dissertation studies the sources of poor performance in scientific computing codes based on par...