International audienceAs the computation power of modern high performance architectures increases, their heterogeneity and complexity also become more important. One of the big challenges of exascale is to reach programming models that give access to high performance computing (HPC) to many scientists and not only to a few HPC specialists. One relevant solution to ease parallel programming for scientists is domain specific language (DSL). However, one problem to avoid with DSLs is to mutualize existing codes and libraries instead of implementing each solution from scratch. For example, this phenomenon occurs for stencil-based numerical simulations, for which a large number of languages has been proposed without code reuse between them. The ...
High Performance Computing (HPC) can be defined as the practice of combining computing power to atta...
In order to harness the power of multicore CPUs and GPUs, HPC (High Performance Computing) programme...
In the field of structured parallel programming we study and implement a shared-memory runtime suppo...
International audienceAs the computation power of modern high performance architectures increases, t...
As the computation power of modern high performance architectures increases, their heterogeneity and...
International audienceHigh performance architectures evolve continuously to be more powerful. Such a...
With the recent advent of new heterogeneous computing architectures there is still a lack of paralle...
Abstract. Project ExaStencils pursues a radically new approach to stencil-code engineering. Present-...
Abstract. Project ExaStencils pursues a radically new approach to stencil-code engineering. Present-...
Domain-specific languages (DSLs) have the potential to provide an intuitive interface for specifying...
An important challenge in parallel computing is the mapping of parallel algorithms to parallel compu...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
Application codes reliably achieve performance far less than the advertised capabilities of existing...
This report documents the program and the outcomes of Dagstuhl Seminar 15161 "Advanced Stencil-Code ...
Abstract—Exascale systems will present programmers with many challenges. We review the parallel prog...
High Performance Computing (HPC) can be defined as the practice of combining computing power to atta...
In order to harness the power of multicore CPUs and GPUs, HPC (High Performance Computing) programme...
In the field of structured parallel programming we study and implement a shared-memory runtime suppo...
International audienceAs the computation power of modern high performance architectures increases, t...
As the computation power of modern high performance architectures increases, their heterogeneity and...
International audienceHigh performance architectures evolve continuously to be more powerful. Such a...
With the recent advent of new heterogeneous computing architectures there is still a lack of paralle...
Abstract. Project ExaStencils pursues a radically new approach to stencil-code engineering. Present-...
Abstract. Project ExaStencils pursues a radically new approach to stencil-code engineering. Present-...
Domain-specific languages (DSLs) have the potential to provide an intuitive interface for specifying...
An important challenge in parallel computing is the mapping of parallel algorithms to parallel compu...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
Application codes reliably achieve performance far less than the advertised capabilities of existing...
This report documents the program and the outcomes of Dagstuhl Seminar 15161 "Advanced Stencil-Code ...
Abstract—Exascale systems will present programmers with many challenges. We review the parallel prog...
High Performance Computing (HPC) can be defined as the practice of combining computing power to atta...
In order to harness the power of multicore CPUs and GPUs, HPC (High Performance Computing) programme...
In the field of structured parallel programming we study and implement a shared-memory runtime suppo...